Artificial Intelligence ChatGPT’s Perspective on Implementation of Augmented Intelligence within Orthopaedic Practice—A Comparative Narrative Synthesis?

ChatGPT has obvious benefits in the way it can interrogate vast amounts of reference information and utilise metadata generation to answer questions posed to it and is freely available having been developed through human feedback. Already there are ethical and practical implications on its impact on learning and research. Artificial Intelligence (AI) has been seen as a way of improving healthcare provision by delivering more robust outcomes but measuring these and implementing AI within this setting is at present limited and disjointed. Methods: ChatGPT was interrogated to see what it felt were the barriers to its implementation within healthcare and in particular orthopaedic practice. The evidence for this determination was then examined for validity and applicability for a practical roll out at a Trust, Regional or National level. Results: AI can synthesise a vast amount of information to help it answer specific questions. The context and structure of any question will determine the usefulness of the answer which can then be used to develop practical solutions based on experience and resource limitations. Conclusions: AI has a role in service development and can quickly focus a working group to areas to consider when practically implementing change.

Introducing the Principles of Tendon Transfer for Surgical Trainees to Improve Anatomical Knowledge

This article reviewed the principles and outcomes of tendon transfer procedures described in the literature to restore function following injuries delivered in a workshop as a way of improving basic science and anatomical knowledge in surgical trainees preparing for surgical examinations. Post intervention surveys showed an improvement in trainees’ familiarity with musculoskeletal anatomy and engagement in learning with improved readiness for surgical examinations.

Artificial Intelligence;a Pragmatic Approach to Implementation in Medicine, a Review of the literature and a Survey of Local Practice in Midlands in UK

The use of Artificial Intelligence (AI) for clinical pathway management and decision making is believed to improve clinical care and has been used to improve pathways for treatment in most medical disciplines. Methods: A literature review was undertaken to identify the hurdles and steps required to introduce supported clinical decision-making using AI within hospitals. This was supported by a survey of local hospital practice within the Midlands of the United Kingdom to see what systems had been introduced and were functioning effectively. Results: It is unclear how to practically implement systems using AI within medicine easily. Algorithmic medicine based on a set of rules calculated from data only takes a clinician so far to deliver patient centred optimal treatment. AI facilitates a clinician’s ability to assimilate data from disparate sources and can help with some of the analysis and decision making. However, learning remains organic and the subtleties of difference between patients, care providers who exhibit non-verbal communication for instance make it difficult for an AI to capture all the pertinent information required to make the correct clinical decision for any given individual. Hence it assists rather than controls any process in clinical practice. It also must continually renew and adapt considering changes in practise and trends as the goalposts change to meet fluctuations in resources and workload. Precision surgery is benefiting from robotic-assisted surgery in parts driven by AI and being used in 80% of trusts locally. Conclusion: The use of AI in clinical practice remains patchy with it being adopted where research groups have studied a more effective method of monitoring or treatment. The use of robotic-assisted surgery on the other hand has been more rapid as the precision of treatment that this provides appears attractive in improving clinical care.

Microstructure Study of Normal Lunates with Micro-computed Tomography

In order to study the microstructure characteristics of normal lunate bones, eight fresh cadaver normal lunates were scanned with micro-computed tomography. High-resolution images of the micro-structure of normal lunates were obtained and we analyzed the nutrient foramina. Then nine regions of interest(ROI) were chosen in the central sagittal plane so that we could obtain the parameters of trabecular bones of ROIs. The distal lamellar-like compact structure had statistically significant differences when it was compared with the ROIs in the volar and dorsal ends of the distal cortex. The difference of diameter between the volar and dorsal foramina was significant(P<0.05). However, there was no significant difference regarding the number. The trabecular bones of the volar and dorsal distal ends had lower intensity than those of the distal central subchondral bone plate. The diameters of the nutrient foramina on the volar cortex were larger than those on the dorsal. This research provided more detailed information about microstructure of normal lunate and the nutrient foramina on cortex, and a reference for further study about diseased lunate.

CT Scans in Primary Survey for Polytrauma Patients

Managing critically injured patients are challenging. Victims of major trauma often present with a host of unknowns including the exact site and nature of injury with a need for urgent diagnosis and resuscitation. It takes significant clinical expertise to detect multiple injuries and implement life or limb saving treatment within a short period of time. Conventional radiographs and focused assessment with sonography for trauma (FAST) scans are useful adjuncts to help in initial diagnosis. Conventional computer tomography (CT) investigations have been used for secondary survey in these scenarios. We reviewed the guidelines that regulate the use of CT scans in multiple injured patients in the UK. CT imaging is rapidly emerging as an adjunct to primary survey. It allows quick detection of major organ injury allowing focussed treatment whilst simultaneous initial resuscitation is underway. Availability of adequate resources is needed for widespread adaptation of this technique that involves manpower, relocation and refurbishment of the CT suites. Although it is not yet clear if using CT imaging during primary survey reduces mortality, it surely results in more organised patient care and efficient use of resources in an acute setting.

The Burns Menace: Antibiotics for the Fight against Burns Bacterial Infection, a Systemic Review

Burn wound infection delays wound healing, leading to varying degrees of morbidity and mortality. Various antibiotics are administered to burn patients in burn wound management. The emergence of antibiotic resistance is a menace that costs families and the country. This review seeks to expound on infections related to burn wounds, common bacteria of burn wound infections and choice of antibiotics in burns treatment. Words such as burns, wound infection, burns injury and antibiotics were put into the Google search engine. Only articles related to the subject of burns, burn wound infection and antibiotics were used to write the review. Articles obtained included case reports on burns, research articles, review articles, short notes, briefs, literatures and other articles relating to burns. We found that the choice of antibiotics in the management of burns is an issue of major concern due to the evolution of pathogens causing these infections. The challenge of antibiotic resistance still persists in burns wound management. The commonly used topical antimicrobials included silver sulphadiazine, silver nitrate solution, silver impregnated dressings and mafenide acetate. Mafenide acetate has a wide antibacterial activity and also acts against the usual wound pathogens that were identified: Pseudomonas aeruginosa and Staphylococcus aureus. The role of antibiotic resistance is of major concern. Antibiotics must be administered after culture evidence in order to reduce the chance of increasing evolution of resistant strains of bacteria.