The use of large language models (LLMs) in clinical medicine is currently thriving. Effectively transferring LLMs’ pertinent theoretical knowledge from computer science to their application in clinical medicine is crucial. Prompt engineering has shown…
Continue Reading
Large language models (LLMs) have been shown to have significant potential in few-shot learning across various fields, even with minimal training data. However, their ability to generalize to unseen tasks in more complex fields,…
Continue Reading
Hippocratic AI, a generative AI company developing safety-focused large language models for healthcare, is launching a Nurse Advisory Council that will work in conjunction with its Physician Advisory Council to ensure the safe development…
Continue Reading
A collaboration between eConsult Health and Google Cloud is aiming to support innovation in healthcare through their use of artificial intelligence.eConsult will leverage Google Cloud’s Vertex AI platform to speed up the delivery of…
Continue Reading
By Sara Heath
February 13, 2024 – A sample of three studies presented at the 2024 Annual Meeting of the American Academy of Orthopaedic Surgeons (AAOS) is casting doubt on AI chatbots’ and large language models’…
Continue Reading
Large language models, a form of artificial intelligence, are generating a lot of hype in healthcare circles, primarily because of their potential to transform and improve various aspects of healthcare delivery and management. The…
Continue Reading
Researchers from the University of Maryland School of Medicine warn that current FDA device-exemption criteria may allow large language models (LLMs) to produce unchecked clinical summaries, potentially influencing medical decisions and causing patient harm….
Continue Reading
Doctors and researchers from the University of Maryland School of Medicine, the UMD Institute for Health Computing and the VA Maryland Healthcare System are concerned that large language models summarizing clinical data could meet…
Continue Reading
By Hannah Nelson
January 31, 2024 – While generative AI shows promise for EHR data summarization, using large language models (LLMs) to summarize clinical data brings risks that are not clearly covered by existing Food and…
Continue Reading
Researchers from Johns Hopkins and Columbia University presented a groundbreaking technique at the Neural Information Processing Systems Conference to enhance AI and ML models’ performance in medical note analysis. Addressing the challenge of dataset…
Continue Reading
