Large language models in medicine
Large language models (LLMs) can respond to free-text queries without being specifically
trained in the task in question, causing excitement and concern about their use in healthcare …
trained in the task in question, causing excitement and concern about their use in healthcare …
Translation of AI into oncology clinical practice
Artificial intelligence (AI) is a transformative technology that is capturing popular imagination
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …
[HTML][HTML] Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models
TH Kung, M Cheatham, A Medenilla, C Sillos… - PLoS digital …, 2023 - journals.plos.org
We evaluated the performance of a large language model called ChatGPT on the United
States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK …
States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK …
Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial
G Wang, X Liu, Z Ying, G Yang, Z Chen, Z Liu… - Nature Medicine, 2023 - nature.com
The personalized titration and optimization of insulin regimens for treatment of type 2
diabetes (T2D) are resource-demanding healthcare tasks. Here we propose a model-based …
diabetes (T2D) are resource-demanding healthcare tasks. Here we propose a model-based …
[HTML][HTML] Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot
Intelligent diagnosis processes rely on Artificial Intelligence (AI) techniques to provide
possible diagnoses by analyzing patient data and medical information. To make accurate …
possible diagnoses by analyzing patient data and medical information. To make accurate …
Ignore, trust, or negotiate: understanding clinician acceptance of AI-based treatment recommendations in health care
Artificial intelligence (AI) in healthcare has the potential to improve patient outcomes, but
clinician acceptance remains a critical barrier. We developed a novel decision support …
clinician acceptance remains a critical barrier. We developed a novel decision support …
Steps to avoid overuse and misuse of machine learning in clinical research
Steps to avoid overuse and misuse of machine learning in clinical research | Nature Medicine
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A future role for health applications of large language models depends on regulators enforcing safety standards
Among the rapid integration of artificial intelligence in clinical settings, large language
models (LLMs), such as Generative Pre-trained Transformer-4, have emerged as …
models (LLMs), such as Generative Pre-trained Transformer-4, have emerged as …
[HTML][HTML] Guidelines for artificial intelligence in medicine: literature review and content analysis of frameworks
Background: Artificial intelligence (AI) is rapidly expanding in medicine despite a lack of
consensus on its application and evaluation. Objective: We sought to identify current …
consensus on its application and evaluation. Objective: We sought to identify current …
Methods for clinical evaluation of artificial intelligence algorithms for medical diagnosis
Adequate clinical evaluation of artificial intelligence (AI) algorithms before adoption in
practice is critical. Clinical evaluation aims to confirm acceptable AI performance through …
practice is critical. Clinical evaluation aims to confirm acceptable AI performance through …