ChatGPT In Healthcare: What Science Says

This study demonstrates that ChatGPT, a large language model, can assist in radiologic decision-making at the point of care, achieving moderate to high accuracy in determining appropriate imaging steps for breast cancer screening and breast pain evaluation, although limitations of the model, such as misalignment and “hallucinations”, must be considered when designing clinically-oriented prompts for use with large language models.Analysis of large-language model versus human performance for genetics questionsMedrxivThe use of language models like ChatGPT in clinical genetics has the potential to provide rapid and accurate responses to genetic-related questions, aid healthcare professionals in diagnosis and treatment, and make genetic information more widely available to a non-expert audience.Putting ChatGPT’s Medical Advice to the (Turing) TestMedrxivThe article discusses a study that found AI-based chatbots to be weakly distinguishable from human providers in terms of responses and mildly positively trusted by respondents, with potential for use in healthcare administrative tasks and chronic disease management.Evaluating the Performance of ChatGPT in Ophthalmology: An Analysis of its Successes and ShortcomingsMedrxivThe article discusses the performance of the ChatGPT language model in responding to questions on the OKAP exam in ophthalmology, finding that it achieved an accuracy comparable to that of a first-year resident, although it struggled with highly spec...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: TMF Artificial Intelligence in Medicine ChatGPT digital health large language models ChatGPT in healthcare AI in healthcare AI in medicine Source Type: blogs