Amyloid-beta pathology-induced nanoscale synaptic disruption:the case of the GABA_B-GIRK assembly

Alzheimer's disease (AD) is characterized by an imbalance between excitatory and inhibitory brain networks,leading to aberrant homeostatic synaptic plasticity.AD has progressively been recognized as syna ptopathy and syna ptic dysfunction has been identified as a key component of its pathogenesis (Schirinzi et al.,2020).Syna ptic dysfunction is believed to precede synapse loss,a primary biological correlate of cognitive decline in AD,inevita bly associated with neuronal death.

Clinical pathological characteristics of“crawling-type”gastric adenocarcinoma cancer:A case report

BACKGROUND Gastric cancer(GC)is a significant health problem worldwide,and early detection and accurate diagnosis are crucial for improving patient outcomes.Crawling-type gastric adenocarcinoma is a rare subtype of GC that has unique histopathological and clinical characteristics,and its diagnosis and management can be challenging.This pathological type of GC is also rare.CASE SUMMARY Here,we report the case of a patient who underwent ordinary endoscopy,na-rrow-band imaging,and endoscopic ultrasonography intending to determine the extent of tumor invasion and upper abdominal enhanced computed tomography and whether there was tumor metastasis.Then,endoscopic submucosal dissection was performed.After pathological and immunohistochemical examination,the pathological diagnosis was crawling-type gastric adenocarcinoma.This is a very rare and special pathological type of tumor.This case highlights the importance of using advanced endoscopic techniques and pathological examination in diagnosing and managing gastric crawling-type adenocarcinoma.Moreover,the findings underscore the need for continued research and clinical experience in this rare subtype of GC to improve patient outcomes.CONCLUSION The“crawling-type”GC is a rare and specific tumor pathology.It is difficult to identify and diagnose gliomas via endoscopy.The tumor is ill-defined,with a flat appearance and indistinct borders due to the lack of contrast against the background mucosa.Pathology revealed that the tumor cells were hand-like,so the patient has diagnosed with“crawling-type”gastric adenocarcinoma.

Prognostic significance of grade of malignancy based on histopathological differentiation and Ki-67 in pancreatic ductal adenocarcinoma

Objective:Tumor cell malignancy is indicated by histopathological differentiation and cell proliferation.Ki-67,an indicator of cellular proliferation,has been used for tumor grading and classification in breast cancer and neuroendocrine tumors.However,its prognostic significance in pancreatic ductal adenocarcinoma(PDAC)remains uncertain.Methods:Patients who underwent radical pancreatectomy for PDAC were retrospectively enrolled,and relevant prognostic factors were examined.Grade of malignancy(GOM),a novel index based on histopathological differentiation and Ki-67,is proposed,and its clinical significance was evaluated.Results:The optimal threshold for Ki-67 was determined to be 30%.Patients with a Ki-67 expression level>30%rather than≤30%had significantly shorter 5-year overall survival(OS)and recurrence-free survival(RFS).In multivariate analysis,both histopathological differentiation and Ki-67 were identified as independent prognostic factors for OS and RFS.The GOM was used to independently stratify OS and RFS into 3 tiers,regardless of TNM stage and other established prognostic factors.The tumor-nodemetastasis-GOM stage was used to stratify survival into 5 distinct tiers,and surpassed the predictive performance of TNM stage for OS and RFS.Conclusions:Ki-67 is a valuable prognostic indicator for PDAC.Inclusion of the GOM in the TNM staging system may potentially enhance prognostic accuracy for PDAC.

NLRP3-mediated autophagy dysfunction links gut microbiota dysbiosis to tau pathology in chronic sleep deprivation

Emerging evidence indicates that sleep deprivation(SD)can lead to Alzheimer’s disease(AD)-related pathological changes and cognitive decline.However,the underlying mechanisms remain obscure.In the present study,we identified the existence of a microbiota-gut-brain axis in cognitive deficits resulting from chronic SD and revealed a potential pathway by which gut microbiota affects cognitive functioning in chronic SD.Our findings demonstrated that chronic SD in mice not only led to cognitive decline but also induced gut microbiota dysbiosis,elevated NLRP3 inflammasome expression,GSK-3βactivation,autophagy dysfunction,and tau hyperphosphorylation in the hippocampus.Colonization with the“SD microbiota”replicated the pathological and behavioral abnormalities observed in chronic sleep-deprived mice.Remarkably,both the deletion of NLRP3 in NLRP3-/-mice and specific knockdown of NLRP3 in the hippocampus restored autophagic flux,suppressed tau hyperphosphorylation,and ameliorated cognitive deficits induced by chronic SD,while GSK-3βactivity was not regulated by the NLRP3 inflammasome in chronic SD.Notably,deletion of NLRP3 reversed NLRP3 inflammasome activation,autophagy deficits,and tau hyperphosphorylation induced by GSK-3βactivation in primary hippocampal neurons,suggesting that GSK-3β,as a regulator of NLRP3-mediated autophagy dysfunction,plays a significant role in promoting tau hyperphosphorylation.Thus,gut microbiota dysbiosis was identified as a contributor to chronic SD-induced tau pathology via NLRP3-mediated autophagy dysfunction,ultimately leading to cognitive deficits.Overall,these findings highlight GSK-3βas a regulator of NLRP3-mediated autophagy dysfunction,playing a critical role in promoting tau hyperphosphorylation.

The development and implementation of pathological parameters and molecular testing impact prognosis of colorectal adenocarcinoma

Objective:This study aims to analyze how changes in pathological diagnosis practice and molecular detection technology have affected clinical outcomes for colorectal cancer(CRC)patients in Fudan University Shanghai Cancer Center(FUSCC).Methods:This retrospective cohort study analyzed 21,141 pathologically confirmed CRC cases diagnosed at FUSCC from 2008 to 2020.Patients were divided into five groups for different analytical purposes:(1)the before vs.since 2014 groups to analyze the influence of the changes in the classification criteria of pT3 and pT4 staging on the survival of patients;(2)the partial vs.total mesorectal excision(TME)groups to analyze whether evaluation of completeness of the mesorectum have impact on the survival of patients;(3)the tumor deposit(TD)(+)N0 vs.TD(+)N1c groups to analyze the influence of the changes in the pN staging on the survival of patients with positive TD and negative regional lymph node metastasis(LNM);(4)the before vs.since 2013 groups to analyze the influence of the changes in the testing process of deficient mismatch repair on the survival of patients;and(5)the groups with vs.without RAS/BRAF gene mutation testing to analyze the influence of these testing on the survival of patients.Patients’clinicopathological parameters,including age at diagnosis,sex,tumor size,location,differentiation,mucinous subtype,TD,lymphovascular invasion,perineural invasion,tumor depth,LNM and distant metastasis,and tumor-node-metastasis(TNM)stage,were compared between groups.Kaplan-Meier analysis with log rank method was performed for patients’overall survival(OS)and disease-free survival(DFS)analyses.Results:In pathological reports,there were three parameter changes that impacted patient outcomes.Firstly,changes in the pT staging criteria led to a shift of the ratio of patients with stage pT3 to stage pT4 from 1:110.9 to 1:0.26.In comparison to patients admitted before 2014(n=4,754),a significant difference in prognosis between pT3 and pT4 stages was observed since 2014(n=9,965).Secondly,we began to evaluate the completeness of the mesorectum since 2016.As a result,91.0%of patients with low rectal cancer underwent TME(n=4,111)surgery,and patients with TME had significantly better OS compared with partial mesorectal excision(PME,n=409).Thirdly,we began to stage TD(+)LNM(-)as N1c since 2017.The results showed that N1c(n=127)but not N0(n=39)can improve the prognosis of patients without LNM and distal metastasis.In molecular testing,there have been three and five iterations of updates regarding mismatch repair(MMR)/microsatellite instability(MSI)status and RAS/BRAF gene mutation detection,respectively.The standardization of MMR status testing has sharply decreased the proportion of deficient MMR(dMMR)patients(from 32.5%to 7.4%)since 2013.The prognosis of patients underwent MMR status testing since 2013(n=867)were significantly better than patients before 2013(n=1,313).In addition,detection of RAS/BRAF gene mutation status(n=5,041)resulted in better DFS but not OS,for patients with stage I-III disease(n=16,557).Conclusion:Over the past few decades,updates in elements in pathological reports,as well as the development of standardized tests for MMR/MSI status and RAS/BRAF gene mutations have significantly improved patient outcomes.

Pathology of pancreatic ductal adenocarcinoma:Facts,challenges and future developments

Despite major improvements concerning its diagnosis and treatment,pancreatic ductal adenocarcinoma(PDAC) remains an aggressive disease with an extremely poor prognosis. Pathology,as interface discipline between basic and clinical medicine,has substantially contributed to the recent developments and has laid the basis for further progress. The definition and classification of precursor lesions of PDAC and their molecular characterization is a fundamental step for the potential identification of biomarkers and the development of imaging methods for early detection. In addition,by integrating findings in humans with the knowledge acquired through the investigation of transgenic mouse models for PDAC,a new model for pancreatic carcinogenesis has been proposed and partially validated in individuals with genetic predisposition for PDAC. The introduction and validation of a standardized system for pathology reporting based on the axial slicing technique has shown that most pancreatic cancer resections are R1 resections and that this is due to inherent anatomical and biological properties of PDAC.This standardized assessment of prognostic relevant parameters represents the basis for the successful conduction of multicentric studies and for the interpretation of their results.Finally,recent studies have shown that distinct molecular subtypes of PDAC exist and are associated with different prognosis and therapy response.The prospective validation of these results and the integration of molecular analyses in a comprehensive pathology report in the context of individualised cancer therapy represent a major challenge for the future.

Correlation between clinicopathology and expression of heat shock protein 70 and glucose-regulated protein 94 in human colonic adenocarcinoma

AIM: To investigate the correlation between clinicopathology and expression of heat shock protein 70 (HSP70) and glucose-regulated protein 94 (grp94) in human colonic carcinoma. METHODS: The expression of HSP70 and grp94 was studied in 80 human colonic cancers with or without metastasis as well as in their adjacent mucous membrane by way of immunohistochemistry and pathology photograph analysis. RESULTS: The expression of HSP70 and grp94 was significantly higher in cancer than that in adjacent mucous membrane (92.5%, 85.0% vs 56.3%, 42.5%, P<0.01). HSP70 and grp94 expressed higher in moderately- and poorly-differentiated colonic cancers than that in their adjacent tissues (93.7%, 87.5%; 100%, 90% vs56.3%, 42.5%;P<0.01). Dukes C and D stages of colonic cancers showed higher positive rates than Dukes A and B stage groups (97.1%, 91.2%; 100%, 90.9%; vs 80%, 70%; 78.6%, 71.4%; P<0.05). There were definite differences in HSP70 and grp94 expression between metastasis groups and non-metastasis groups (100% vs 75%, 100% CONCLUSION: The HSP70 and grp94 expression rates in colonic cancer groups are significantly higher than that in their adjacent mucous membrane. The HSP70 and grp94 expression in poorly-differentiated colonic cancers with metastasis is significantly higher than well-differentiated cancers without metastasis. The overexpression of HSP70 and grp94 can be used as diagnostic or prognostic markers for colonic cancer.

Pathological diagnosis and clinical feature analysis of descending duodenal mucosal adenocarcinoma:A case report

BACKGROUND Mucosal adenocarcinoma of the descending duodenum is a very rare gastroin-testinal tumor.Due to its low incidence,it has rarely been the focus of clinical and pathological studies.The clinical manifestations of these tumors are usually nonspecific,and they are easily misdiagnosed or missed.Pathological diagnosis is the gold standard for diagnosis,but due to the small number of cases,the relevant pathological characteristics and diagnostic criteria are not completely clear.The purpose of this study was to deepen the understanding of the diagnosis and treatment of this disease and to provide a clinical guidance.CASE SUMMARY A 61-year-old woman who was hospitalized with recurrent abdominal pain for more than 20 days.The patient developed epigastric pain with no obvious cause more than 20 days prior,mainly left epigastric pain and middle epigastric pain,and presented persistent dull pain without nausea or vomiting,fever or chills.The patient was treated at a local hospital,gastroscopy revealed a new lesion in the circum-intestinal cavity in the descending part of the duodenum,and pathological biopsy revealed mucous adenocarcinoma in the descending part of the duode-num.Currently,for further diagnosis and treatment,the patient is admitted to our hospital for surgical treatment for“malignant tumor of the duodenum”in the outpatient department.CONCLUSION Mucosal adenocarcinoma of the descending duodenum has a high misdiagnosis rate and missed diagnosis rate,clinical manifestations lack specificity,and pathological diagnosis is the main basis for diagnosis.

Adenocarcinoma of esophagogastric junction:controversial classification,surgical management,and clinicopathology

In recent years the world is witnessing an increasing incidence of adenocarcinoma of esophagogastric junction （AEG）, which originates from epithelial tissue of esophagogastric junction （EGJ）, and mainly derives from Barrett＇s esophagus. It＇s now gaining more and more attention due to the controversial etiology, classification and treatment.

Mucin phenotype of gastric cancer and clinicopathology of gastric-type differentiated adenocarcinoma

Differentiated adenocarcinoma of the stomach is classified into gastric or intestinal phenotypes based on mucus expression. Recent advances in mucin histochemistry and immunohistochemistry have highlighted the importance of such a distinction, and it is important clinically to distinguish between gastricand intestinal-type differentiated adenocarcinoma. However, a clinical and pathological diagnosis of this type is often difficult in early gastric cancer because of histological similarities between a hyperplastic epithelium and lowgrade atypia. Furthermore, determining tumor margins is often difficult, even with extensive preoperative examination. It is therefore critical to consider these diagnostic difficulties and different biological behaviors with high malignant potential when treating patients with gastric-type differentiated adenocarcinoma.

Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts

Odontogenic keratocyst(OKC)is a common jaw cyst with a high recurrence rate.OKC combined with basal cell carcinoma as well as skeletal and other developmental abnormalities is thought to be associated with Gorlin syndrome.Moreover,OKC needs to be differentiated from orthokeratinized odontogenic cyst and other jaw cysts.Because of the different prognosis,differential diagnosis of several cysts can contribute to clinical management.We collected 519 cases,comprising a total of 2157 hematoxylin and eosinstained images,to develop digital pathology-based artificial intelligence(AI)models for the diagnosis and prognosis of OKC.The Inception_v3 neural network was utilized to train and test models developed from patch-level images.Finally,whole slide imagelevel AI models were developed by integrating deep learning-generated pathology features with several machine learning algorithms.The AI models showed great performance in the diagnosis(AUC=0.935,95%CI:0.898–0.973)and prognosis(AUC=0.840,95%CI:0.751–0.930)of OKC.The advantages of multiple slides model for integrating of histopathological information are demonstrated through a comparison with the single slide model.Furthermore,the study investigates the correlation between AI features generated by deep learning and pathological findings,highlighting the interpretative potential of AI models in the pathology.Here,we have developed the robust diagnostic and prognostic models for OKC.The AI model that is based on digital pathology shows promise potential for applications in odontogenic diseases of the jaw.

Unveiling the clinicopathological enigma of crawling-type gastric adenocarcinoma

In this editorial we comment on the article by Xu et al.Gastric adenocarcinoma(GA)is a malignancy which arises from the gastric mucosa and encompasses heterogenous tumors with varying characteristics.There are two main classifications:Lauren’s and the World Health Organization distinguishing the diverse types of GA depending on clinical,genetic,morphological and epidemiological features.“Crawling-type”adenocarcinoma(CRA)is a subtype characterized by irregularly fused glands with low-grade cellular atypia.Moreover,CRA represents differentiated tumor cells resembling intestinal metaplasia which results in misdiagnosis.The diagnosis is of utmost importance,as well as the subclassification and thorough pathological assessment.With regard to the symptoms of GA,these depend on the stage of the disease.Diagnostic methods play a crucial role in assessing the extent of the tumor and the stage of the disease.Nevertheless,early detection of CRA remains challenging due to its histological features.In summary,CRA is a distinct type of GA with particular clinicopathological and histological characteristics.Despite its significance,it not distinguished as a subtype,resulting in diagnostic challenges.Diagnosis is based on careful observation and thorough biopsy analysis,indicating the importance of comprehensive pathological assessment.

Going straight for the gut:gut-brain axis pathology and treatment of Parkinson's disease

This perspective focuses on the recent literature regarding the role of the gut-brain axis(GBA) in fecal microbiota transplantation(FMT) and stem cell therapy(SCT) in Parkinson's disease(PD).PD is the second most common neurodegenerative disease in the United States,yet therapies remain limited.Current research suggests that the GBA may play a role in the pathogenesis of PD.GBAbased FMT as well as SCT offer promising new avenues for PD treatment.Pro bing the interactions between FMT and SCT with the GBA may reveal novel therapeutics for PD.

Hysterectomies for Gynaecological Pathology: 56 Cases at the Segou Regional Hospital in Mali

Introduction: Hysterectomy is a surgical procedure involving partial or total removal of the uterus. It is the most common gynaecological surgery in the world. Objective: To describe the epidemio-clinical and prognostic aspects of gynaecological hysterectomies. Patients and methods: This was an 18-month retrospective prospective descriptive study with a six-month follow-up period from 1 December 2020 to 31 May 2022 carried out in the gynaecology department of the Segou regional hospital. Results: Fifty-six (56) hysterectomies were performed out of 118 gynaecological surgical procedures (47.45%). The mean age was 47 ± 11.77 years. Large multiparous women were the most common (50%), with an average parity of 4.58. The main indications were uterine fibroids (30.4%), precancerous lesions of the cervix (17.85%) and uterine prolapse (17.85%). The abdominal route was the most commonly used surgical route (82.14%). Hysterectomy was total in 100% of cases and associated with bilateral adnexectomy in 48.2% of cases. The intra- and post-operative prognosis was satisfactory in 94.6% of cases. No deaths were recorded. The average length of stay was 3.28 days, irrespective of the surgical approach. Three cases of dyspareunia were noted among those who had resumed sexual activity.

Using MsfNet to Predict the ISUP Grade of Renal Clear Cell Carcinoma in Digital Pathology Images

Clear cell renal cell carcinoma(ccRCC)represents the most frequent form of renal cell carcinoma(RCC),and accurate International Society of Urological Pathology(ISUP)grading is crucial for prognosis and treatment selection.This study presents a new deep network called Multi-scale Fusion Network(MsfNet),which aims to enhance the automatic ISUP grade of ccRCC with digital histopathology pathology images.The MsfNet overcomes the limitations of traditional ResNet50 by multi-scale information fusion and dynamic allocation of channel quantity.The model was trained and tested using 90 Hematoxylin and Eosin(H&E)stained whole slide images(WSIs),which were all cropped into 320×320-pixel patches at 40×magnification.MsfNet achieved a micro-averaged area under the curve(AUC)of 0.9807,a macro-averaged AUC of 0.9778 on the test dataset.The Gradient-weighted Class Activation Mapping(Grad-CAM)visually demonstrated MsfNet’s ability to distinguish and highlight abnormal areas more effectively than ResNet50.The t-Distributed Stochastic Neighbor Embedding(t-SNE)plot indicates our model can efficiently extract critical features from images,reducing the impact of noise and redundant information.The results suggest that MsfNet offers an accurate ISUP grade of ccRCC in digital images,emphasizing the potential of AI-assisted histopathological systems in clinical practice.

Evaluation of autoimmune phenomena in patients with nonalcoholic fatty liver disease on the basis of liver pathology

BACKGROUND Autoimmune phenomena can be used in some patients with nonalcoholic fatty liver disease(NAFLD)in the clinic,but these patients are not autoimmune hepatitis patients.AIM To determine whether autoimmunity is present in patients with NAFLD,this study was performed.METHODS A total of 104 patients with NAFLD diagnosed by liver biopsy at Tianjin Second People’s Hospital between 2019 and 2023 were enrolled.The patients were divided into three groups according to their biopsy results:The NAFL(n=36),nonalcoholic steatohepatitis(n=51),and liver cirrhosis groups(n=17).RESULTS The differences in IgA,an immune marker,among the three groups of patients were statistically significant(P=0.025).In all NAFLD patients,antinuclear antibody and anti-smooth muscle antibody were the most common autoantibodies.The antinuclear antibody detection rate was the highest at 48.1%.The cirrhosis group had the highest autoantibody positivity rate(64.7%).Portal enlargement is also common in NAFLD patients.The rates of positivity for portal lymphoplasmacytic infiltration,small bile duct hyperplasia and interfacial hepatitis were highest in the cirrhosis group;the differences between the cirrhosis group and the other two groups were significant(P<0.05).Hepatocellular rosettes were identified only in the cirrhosis group(11.8%).CONCLUSION Autoimmune phenomena occur in NAFLD patients,especially in patients with NAFLD-related cirrhosis,in whom this phenomenon may be more pronounced.

Comparison of mismatch repair and immune checkpoint protein profile with histopathological parameters in pancreatic,periampullary/ampullary,and choledochal adenocarcinomas

BACKGROUND Pancreatic,periampullary/ampullary,and choledochal adenocarcinomas are aggressive malignancies with a poor prognosis.Immune checkpoint blockade is a promising treatment option for several tumor types.H long terminal repeatassociating 2(HHLA2),which is analogous to programmed death-ligand 1(PDL1),is a recently discovered member of the B7/cluster of differentiation 28 family and is expressed in many malignancies.AIM To analyze the expression of HHLA2 and its association with the pathologic biomarkers that predict sensitivity to immunotherapy.METHODS Ninety-two adenocarcinoma cases located in the pancreas,ampulla,and distal common bile duct were identified.This study assessed 106 pancreaticoduodenectomy and distal/total pancreatectomy samples that were delivered to Ankara City Hospital between 2019 and 2021.Immunohistochemistry was conducted to examine the expression of DNA mismatch repair(MMR),PD-L1,and HHLA2 proteins.RESULTS Patients with high HHLA2 expression had a higher mean age than those with low expression.Low HHLA2 expression was associated with high perineural invasion.HHLA2 expression was low in pathological stage T3(pT)3 cases and high in pathological stage T1,T2,and T4 cases.There was no correlation between HHLA2 expression and the expression of MMR proteins and PD-L1.CONCLUSION Evaluation of HHLA2 expression in microsatellite stable and PD-L1-negative tumors may be useful for predicting the response of individuals to immunotherapy and may serve as a novel therapeutic target for immunotherapy in advanced-stage disease.

Microvascular structural changes in esophageal squamous cell carcinoma pathology according to intrapapillary capillary loop types under magnifying endoscopy

BACKGROUND The intrapapillary capillary loop(IPCL)characteristics,visualized using magnifying endoscopy,are commonly assessed for preoperative evaluation of the infiltration depth of esophageal squamous cell carcinoma(ESCC).Japan Esophageal Society(JES)classification is the most widely used classification.Microvascular structural changes are evaluated by magnifying endoscopy for the presence or absence of each morphological factor:tortuosity,dilatation,irregular caliber,and different shapes.However,the pathological characteristics of IPCLs have not been thoroughly investigated,especially the microvascular structures corresponding to the deepest parts of the lesions'infiltration.AIM To investigate differences in pathological microvascular structures of ESCC,which correspond to the deepest parts of the lesions'infiltration.METHODS Patients with ESCC and precancerous lesions diagnosed at Peking University Third Hospital were enrolled between January 2019 and April 2023.Patients first underwent magnified endoscopic examination,followed by endoscopic submucosal dissection or surgical treatment.Pathological images were scanned using a threedimensional slice scanner,and the pathological structural differences in different types,according to the JES classification,were analyzed using nonparametric tests and t-tests.RESULTS The 35 lesions were divided into four groups according to the JES classification:A,B1,B2,and B3.Statistical analyses revealed significant differences(aP<0.05)in the short and long calibers,area,location,and density between types A and B.Notably,there were no significant differences in these parameters between types B1 and B2 and between types B2 and B3(P>0.05).However,significant differences in the short calibers,long calibers,and area of IPCL were observed between types B1 and B3(aP<0.05);no significant differences were found in the density or location(P>0.05).CONCLUSION Pathological structures of IPCLs in the deepest infiltrating regions differ among various IPCL types classified by the JES classification under magnifying endoscopy,especially between the types A and B.

A Multi-Task Deep Learning Framework for Simultaneous Detection of Thoracic Pathology through Image Classification

Thoracic diseases pose significant risks to an individual's chest health and are among the most perilous medical diseases. They can impact either one or both lungs, which leads to a severe impairment of a person’s ability to breathe normally. Some notable examples of such diseases encompass pneumonia, lung cancer, coronavirus disease 2019 (COVID-19), tuberculosis, and chronic obstructive pulmonary disease (COPD). Consequently, early and precise detection of these diseases is paramount during the diagnostic process. Traditionally, the primary methods employed for the detection involve the use of X-ray imaging or computed tomography (CT) scans. Nevertheless, due to the scarcity of proficient radiologists and the inherent similarities between these diseases, the accuracy of detection can be compromised, leading to imprecise or erroneous results. To address this challenge, scientists have turned to computer-based solutions, aiming for swift and accurate diagnoses. The primary objective of this study is to develop two machine learning models, utilizing single-task and multi-task learning frameworks, to enhance classification accuracy. Within the multi-task learning architecture, two principal approaches exist soft parameter sharing and hard parameter sharing. Consequently, this research adopts a multi-task deep learning approach that leverages CNNs to achieve improved classification performance for the specified tasks. These tasks, focusing on pneumonia and COVID-19, are processed and learned simultaneously within a multi-task model. To assess the effectiveness of the trained model, it is rigorously validated using three different real-world datasets for training and testing.

Expanding role and scope of artificial intelligence in the field of gastrointestinal pathology

Digital pathology(DP)and its subsidiaries including artificial intelligence(AI)are rapidly making inroads into the area of diagnostic anatomic pathology(AP)including gastrointestinal(GI)pathology.It is poised to revolutionize the field of diagnostic AP.Historically,AP has been slow to adopt digital technology,but this is changing rapidly,with many centers worldwide transitioning to DP.Coupled with advanced techniques of AI such as deep learning and machine learning,DP is likely to transform histopathology from a subjective field to an objective,efficient,and transparent discipline.AI is increasingly integrated into GI pathology,offering numerous advancements and improvements in overall diagnostic accuracy,efficiency,and patient care.Specifically,AI in GI pathology enhances diagnostic accuracy,streamlines workflows,provides predictive insights,integrates multimodal data,supports research,and aids in education and training,ultimately improving patient care and outcomes.This review summarized the latest developments in the role and scope of AI in AP with a focus on GI pathology.The main aim was to provide updates and create awareness among the pathology community.