ChatGPT is about to make major inroads into clinical medicine. This article discusses the pros and cons of its use.
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Opportunities and Challenges of Chatbots in Ophthalmology: A Narrative Review.
J Pers Med
December 2024
Department of Clinical Research, University of Southern Denmark, 5230 Odense, Denmark.
Artificial intelligence (AI) is becoming increasingly influential in ophthalmology, particularly through advancements in machine learning, deep learning, robotics, neural networks, and natural language processing (NLP). Among these, NLP-based chatbots are the most readily accessible and are driven by AI-based large language models (LLMs). These chatbots have facilitated new research avenues and have gained traction in both clinical and surgical applications in ophthalmology.
View Article and Find Full Text PDFHow Chatbots Respond to NCLEX-RN Practice Questions: Assessment of Google Gemini, GPT-3.5, and GPT-4.
Nurs Educ Perspect
December 2024
About the Authors Alejandro García-Rudolph, PhD; David Sanchez-Pinsach, PhD; Mira Caridad Fernandez, MSc; Sandra Cunyat, MSc; Eloy Opisso, PhD; and Elena Hernandez-Pena, MSc, are faculty, Institut Guttmann Hospital de Neurorehabilitació, Barcelona, Spain. The authors are grateful to Olga Araujo of the Institut Guttmann-Documentation Office for her support in accessing the literature. For more information, contact Dr. Alejandro García-Rudolph at
ChatGPT often "hallucinates" or misleads, underscoring the need for formal validation at the professional level for reliable use in nursing education. We evaluated two free chatbots (Google Gemini and GPT-3.5) and a commercial version (GPT-4) on 250 standardized questions from a simulated nursing licensure exam, which closely matches the content and complexity of the actual exam.
View Article and Find Full Text PDFGenerative Artificial Intellegence (AI) in Pathology and Medicine: A Deeper Dive.
Mod Pathol
December 2024
Department of Pathology, University of Pittsburgh Medical Center, PA, USA; Computational Pathology and AI Center of Excellence (CPACE), University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address:
This review article builds upon the introductory piece in our seven-part series, delving deeper into the transformative potential of generative artificial intelligence (Gen AI) in pathology and medicine. The article explores the applications of Gen AI models in pathology and medicine, including the use of custom chatbots for diagnostic report generation, synthetic image synthesis for training new models, dataset augmentation, hypothetical scenario generation for educational purposes, and the use of multimodal along with multi-agent models. This article also provides an overview of the common categories within generative AI models, discussing open-source and closed-source models, as well as specific examples of popular models such as GPT-4, Llama, Mistral, DALL-E, Stable Diffusion and their associated frameworks (e.
View Article and Find Full Text PDFChatGPT vs. surgeons on pancreatic cancer queries: accuracy & empathy evaluated by patients and experts.
HPB (Oxford)
December 2024
Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany. Electronic address:
Background: Artificial intelligence (AI) offers potential support in patient-clinician interactions, but its impact on such communication remains unexplored.
Methods: In this study, ChatGPT was compared with two pancreatic surgeons in responding to ten pancreatic cancer surgery-related questions, co-designed with the Patient Advisory Board of the Surgical Society's Study Center. A blind evaluation of these responses, considering content congruency and clarity for non-specialists, was conducted by patients and surgeons.
Generative AI and future education: a review, theoretical validation, and authors' perspective on challenges and solutions.
PeerJ Comput Sci
December 2024
Faculty of Integrated Technologies, Universiti Brunei Darussalam, Gadong, Brunei Darussalam.
Generative AI (Gen AI), exemplified by ChatGPT, has witnessed a remarkable surge in popularity recently. This cutting-edge technology demonstrates an exceptional ability to produce human-like responses and engage in natural language conversations guided by context-appropriate prompts. However, its integration into education has become a subject of ongoing debate.
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