Artificial intelligence(AI) using deep-learning(DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the nee...Artificial intelligence(AI) using deep-learning(DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization of AI to efficiently deal with these data, which have become fundamental resources for a machine to learn by itself. Among several DL models, the convolutional neural network showed outstanding performance in image analysis. In the field of gastroenterology, physicians handle large amounts of clinical data and various kinds of image devices such as endoscopy and ultrasound. AI has been applied in gastroenterology in terms of diagnosis,prognosis, and image analysis. However, potential inherent selection bias cannot be excluded in the form of retrospective study. Because overfitting and spectrum bias(class imbalance) have the possibility of overestimating the accuracy,external validation using unused datasets for model development, collected in a way that minimizes the spectrum bias, is mandatory. For robust verification,prospective studies with adequate inclusion/exclusion criteria, which represent the target populations, are needed. DL has its own lack of interpretability.Because interpretability is important in that it can provide safety measures, help to detect bias, and create social acceptance, further investigations should be performed.展开更多
AIM To elucidate the epidemiological characteristics and associated risk factors of perforated peptic ulcer(PPU).METHODS We retrospectively reviewed medical records of patients who were diagnosed with benign PPU from ...AIM To elucidate the epidemiological characteristics and associated risk factors of perforated peptic ulcer(PPU).METHODS We retrospectively reviewed medical records of patients who were diagnosed with benign PPU from 2010 through 2015 at 6 Hallym university-affiliated hospitals.RESULTS A total of 396 patients were identified with postoperative complication rate of 9.1% and mortality rate of 0.8%. Among 174(43.9%) patients who were examined for Helicobacter pylori(H. pylori) infection, 78(44.8%) patients were positive for H. pylori infection, 21(12.1%) were on non-steroidal anti-inflammatory drugs(NSAIDs) therapy, and 80(46%) patients were neither infected of H. pylori nor treated by any kinds of NSAIDs. Multivariate analysis indicated that older age(OR = 1.09, 95%CI: 1.04-1.16) and comorbidity(OR = 4.11, 95%CI: 1.03-16.48) were risk factors for NSAID-associated PPU compared with non-H. pylori, non-NSAID associated PPU and older age(OR = 1.04, 95%CI: 1.02-1.07) and alcohol consumption(OR = 2.08, 95%CI: 1.05-4.13) were risk factors for non-H. pylori, non-NSAID associated PPU compared with solely H. pylori positive PPU.CONCLUSION Elderly patients with comorbidities are associated with NSAIDs-associated PPU. Non-H. pylori, non-NSAID peptic ulcer is important etiology of PPU and alcohol consumption is associated risk factor.展开更多
文摘Artificial intelligence(AI) using deep-learning(DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization of AI to efficiently deal with these data, which have become fundamental resources for a machine to learn by itself. Among several DL models, the convolutional neural network showed outstanding performance in image analysis. In the field of gastroenterology, physicians handle large amounts of clinical data and various kinds of image devices such as endoscopy and ultrasound. AI has been applied in gastroenterology in terms of diagnosis,prognosis, and image analysis. However, potential inherent selection bias cannot be excluded in the form of retrospective study. Because overfitting and spectrum bias(class imbalance) have the possibility of overestimating the accuracy,external validation using unused datasets for model development, collected in a way that minimizes the spectrum bias, is mandatory. For robust verification,prospective studies with adequate inclusion/exclusion criteria, which represent the target populations, are needed. DL has its own lack of interpretability.Because interpretability is important in that it can provide safety measures, help to detect bias, and create social acceptance, further investigations should be performed.
文摘AIM To elucidate the epidemiological characteristics and associated risk factors of perforated peptic ulcer(PPU).METHODS We retrospectively reviewed medical records of patients who were diagnosed with benign PPU from 2010 through 2015 at 6 Hallym university-affiliated hospitals.RESULTS A total of 396 patients were identified with postoperative complication rate of 9.1% and mortality rate of 0.8%. Among 174(43.9%) patients who were examined for Helicobacter pylori(H. pylori) infection, 78(44.8%) patients were positive for H. pylori infection, 21(12.1%) were on non-steroidal anti-inflammatory drugs(NSAIDs) therapy, and 80(46%) patients were neither infected of H. pylori nor treated by any kinds of NSAIDs. Multivariate analysis indicated that older age(OR = 1.09, 95%CI: 1.04-1.16) and comorbidity(OR = 4.11, 95%CI: 1.03-16.48) were risk factors for NSAID-associated PPU compared with non-H. pylori, non-NSAID associated PPU and older age(OR = 1.04, 95%CI: 1.02-1.07) and alcohol consumption(OR = 2.08, 95%CI: 1.05-4.13) were risk factors for non-H. pylori, non-NSAID associated PPU compared with solely H. pylori positive PPU.CONCLUSION Elderly patients with comorbidities are associated with NSAIDs-associated PPU. Non-H. pylori, non-NSAID peptic ulcer is important etiology of PPU and alcohol consumption is associated risk factor.
