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Comparative educational effectiveness of AI generated images and traditional lectures for diagnosing chalazion and sebaceous carcinoma.
Sci Rep
November 2024
Department of Ophthalmology, Cancer Institute Hospital, Tokyo, Japan.
Sebaceous carcinoma is difficult to distinguish from chalazion due to their rarity and clinicians' limited experience. This study investigated the potential of AI-generated image training to improve diagnostic skills for these eyelid tumors compared to traditional video lecture-based education. Students from Orthoptics, Optometry, and Vision Research (n = 55) were randomly assigned to either an AI-generated image training group or a traditional video lecture group.
View Article and Find Full Text PDFPerceptions of Selected Undergraduate Medical Students in the Philippines on the Effectiveness of the Combined Use of Plastinated and Formalin-preserved Brains in Neuroanatomy Education: A Cross-sectional Study.
Acta Med Philipp
October 2023
Department of Anatomy, College of Medicine, University of the Philippines Manila, Manila, Philippines.
Background And Objective: Neuroanatomy is both terrifying to learn and problematic to teach, and the different methods of neuroanatomical education have their own strengths and weaknesses. In this cross-sectional study, we evaluated the perception of undergraduate medical students towards the combined use of plastinated and formalin-preserved brain specimen in their neuroanatomy course.
Methods: A bridging program was designed for students whose medical education was interrupted by the COVID-19 pandemic in order to reinforce the knowledge and understanding of anatomy that they acquired in a virtual environment.
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine.
NPJ Digit Med
July 2024
National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Article Synopsis
- Recent studies show that GPT-4V outperforms human doctors in medical tasks, but mostly focused on multi-choice question accuracy.
- Our research expands this by analyzing GPT-4V's reasoning skills and image comprehension in NEJM Image Challenges, finding its multi-choice accuracy is similar to human physicians (81.6% vs. 77.8%).
- Despite high accuracy, GPT-4V frequently offers flawed explanations (35.5%) for its correct answers, highlighting the need for deeper evaluations before using AI in clinical settings.
Hidden Flaws Behind Expert-Level Accuracy of Multimodal GPT-4 Vision in Medicine.
ArXiv
August 2024
National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Recent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V) outperforms human physicians in medical challenge tasks. However, these evaluations primarily focused on the accuracy of multi-choice questions alone. Our study extends the current scope by conducting a comprehensive analysis of GPT-4V's rationales of image comprehension, recall of medical knowledge, and step-by-step multimodal reasoning when solving (NEJM) Image Challenges - an imaging quiz designed to test the knowledge and diagnostic capabilities of medical professionals.
View Article and Find Full Text PDFA method for teaching depth of corneal lesions using a portable slit lamp (biomicroscope).
Vet Ophthalmol
May 2024
Pacific Animal Eye Specialty Services, New Westminster, British Columbia, Canada.
A novel, simple, and inexpensive model for teaching depth of lesions within the cornea using slit lamp biomicroscopy to veterinary students, ophthalmology residents, and general clinicians with access to a slit lamp biomicroscope is described. Using common laboratory items, this method can be created in any clinic and can be used to teach and quiz students through independent study with objective self-testing achieved.
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