Oxford Cases in Medicine and Surgery

Farne, Hugo; Norris-Cervetto, Edward; Warbrick-Smith, James

doi:10.1093/oso/9780198716228.001.0001

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These scenarios were formulated and designed from real-life clinical scenarios that the authors had encountered as ward-based junior doctors. The scenarios were then validated for accuracy and relevance with textbook analysis of case studies (11,12). These case studies were evaluated by a panel of two board-certified surgeons independently (AL and DD) with over 20 years of experience.…”

Section: Methodsmentioning

confidence: 99%

“…Using a case study approach, each LLM will be prompted in three routine ward-based surgical situations to aid clinical decision-making. These scenarios were formulated based on real-life clinical scenarios and textbook case studies (11,12), with a final review by expert general surgeons. Responses were qualitatively evaluated for accuracy, safety, and effectiveness using a Likert scale (13).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Employing Large Language Models for Surgical Education: An In-depth Analysis of ChatGPT-4

Siu,

Gibson,

et al. 2023

J Med Edu

View full text Add to dashboard Cite

Background: The growing interest in artificial intelligence (AI) has spurred an increase in the availability of Large Language Models (LLMs) in surgical education. These LLMs hold the potential to augment medical curricula for future healthcare professionals, facilitating engagement in remote learning experiences, and assisting in personalised student feedback. Objectives: To evaluate the ability of LLMs to assist junior doctors in providing advice for common ward-based surgical scenarios with increasing complexity. Methods: Utilising an instrumental case study approach, this study explored the potential of LLMs by comparing the responses of the ChatGPT-4, BingAI and BARD. LLMs were prompted by 3 common ward-based surgical scenarios and tasked with assisting junior doctors in clinical decision-making. The outputs were assessed by a panel of two senior surgeons with extensive experience in AI and education, qualitatively utilising a Likert scale on their accuracy, safety, and effectiveness to determine their viability as a synergistic tool in surgical education. A quantitative assessment of their reliability and readability was conducted using the DISCERN score and a set of reading scores, including the Flesch Reading Ease Score, Flesch-Kincaid Grade Level, and Coleman-Liau Index. Results: BARD proved superior in readability, with Flesch Reading Ease Score 50.13 (± 5.00), Flesch-Kincaid Grade Level 9.33 (± 0.76), and Coleman-Liau Index 11.67 (± 0.58). ChatGPT-4 outperformed BARD and BingAI, with the highest DISCERN score of 71.7 (± 2.52). Using a Likert scale-based framework, the surgical expert panel further affirmed that the advice provided by the ChatGPT-4 was suitable and safe for first-year interns and residents. A T-test showed statistical significance in reliability among all three AIs (P < 0.05) and readability only between the ChatGPT-4 and BARD. This study underscores the potential for LLM integration in surgical education, particularly ChatGPT, in the provision of reliable and accurate information. Conclusions: This study highlighted the potential of LLM, specifically ChatGPT-4, as a valuable educational resource for junior doctors. The findings are limited by the potential of non-generalizability of the use of junior doctors' simulated scenarios. Future work should aim to optimise learning experiences and better support surgical trainees. Particular attention should be paid to addressing the longitudinal impact of LLMs, refining AI models, validating AI content, and exploring technological amalgamations for improved outcomes.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Employing Large Language Models for Surgical Education: An In-depth Analysis of ChatGPT-4

Siu,

Gibson,

et al. 2023

J Med Edu

View full text Add to dashboard Cite

show abstract

“…By post op day 11 the graft uptake was 95% and wound healthy with minimal to no serous discharge with no microbial growth.DISCUSSIONVenous ulcers are the wounds that are mainly due to the improper functioning of venous valves & it is caused mostly due to the trauma. It is mainly associated with the varicose veins, a collection of small dark engorged superficial veins[6]. The ulceration mainly depends on pathophysiological abnormalities, anatomical changes & environmental influences.In this study we observed increased blood pressure that is caused by the venous ulcer, where venous valves exist to prevent the backflow of blood and raise the pressure in veins[7][8][9][10], where the other diseased conditions including immunosuppressive status also be the root cause for non-healing ulcer[9].…”

mentioning

confidence: 99%

A Clinical Study on Chronic Venous Insufficiency With Chronic Non Healing Venous Ulcer in a Retroviral Positive Patient

2021

IJBPAS

View full text Add to dashboard Cite

Venous ulcers are wounds which are the most serious and chronic complications in venous insufficiency, caused due to the inappropriate venous valves functioning and when these veins get damaged/ruptured due to any trauma, the pressure in the veins raise & cause hypertension and which in turn leads to ulcers. In this case the possible study effects were made to present the venous ulcers to the patient that was mainly due to trauma. Varicose veins with venous ulcer & the surrounding tissues gets exposed with microbial infection on the surface of the foot was treated with several antibiotics, debridement & dressings. The infection reduces due to antibiotic therapy & certain dressing on the wound without any exposure, resulting in fast healing of the wound.

show abstract

Oxford Cases in Medicine and Surgery

Cited by 2 publications

References 0 publications

Employing Large Language Models for Surgical Education: An In-depth Analysis of ChatGPT-4

Employing Large Language Models for Surgical Education: An In-depth Analysis of ChatGPT-4

A Clinical Study on Chronic Venous Insufficiency With Chronic Non Healing Venous Ulcer in a Retroviral Positive Patient

Contact Info

Product

Resources

About