Publications by authors named "J R Jindal"

The United States Medical Licensing Examination (USMLE) is a critical step in assessing the competence of future physicians, yet the process of creating exam questions and study materials is both time-consuming and costly. While Large Language Models (LLMs), such as OpenAI's GPT-4, have demonstrated proficiency in answering medical exam questions, their potential in generating such questions remains underexplored. This study presents QUEST-AI, a novel system that utilizes LLMs to (1) generate USMLE-style questions, (2) identify and flag incorrect questions, and (3) correct errors in the flagged questions.

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Sickness-associated anorexia, the reduction in appetite seen during infection, is a widely conserved and well-recognized symptom of acute infection, yet there is very little understanding of its functional role in recovery. Anorexic sickness behaviours can be understood as an evolutionary strategy to increase tolerance to pathogen-mediated illness. In this review we explore the evidence for mechanisms and potential metabolic benefits of sickness-associated anorexia.

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Background: Literature on paediatric surgical conditions in low- and middle-income countries (LMICs) remains limited. As a common emergency, timely treatment of testicular torsion acts as a benchmark of adequate emergency service delivery in paediatric surgery. This scoping study aims to synthesise all existing literature on paediatric testicular torsion in LMICs.

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Article Synopsis
  • This article looks at how to use new AI technology in hospitals and health systems to help people the most.
  • It talks about the differences between traditional AI and a newer type called generative AI (GenAI) and how they can be used differently in healthcare.
  • The authors say that GenAI can be more useful if hospitals let patients and workers suggest ways to use it, instead of just making decisions from the top down.
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