Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions

JCL Ong, BJJ Seng, JZF Law, LL Low, ALH Kwa… - Cell Reports …, 2024 - cell.com
This perspective highlights the importance of addressing social determinants of health
(SDOH) in patient health outcomes and health inequity, a global problem exacerbated by …

Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis

H Yu, L Fan, L Li, J Zhou, Z Ma, L Xian, W Hua… - Journal of Healthcare …, 2024 - Springer
Large language models (LLMs) have rapidly become important tools in Biomedical and
Health Informatics (BHI), potentially enabling new ways to analyze data, treat patients, and …

Mapping the regulatory landscape for artificial intelligence in health within the European Union

J Schmidt, NM Schutte, S Buttigieg, D Novillo-Ortiz… - npj Digital …, 2024 - nature.com
Regulatory frameworks for artificial intelligence (AI) are needed to mitigate risks while
ensuring the ethical, secure, and effective implementation of AI technology in healthcare and …

GPT-4 in a cancer center—institute-wide deployment challenges and lessons learned

R Umeton, A Kwok, R Maurya, D Leco, N Lenane… - NEJM AI, 2024 - ai.nejm.org
The enormous potential for generative pretrained transformers (GPTs) and other artificial
intelligence (AI) large language models (LLMs) to improve health care has become …

Transforming wearable data into health insights using large language model agents

MA Merrill, A Paruchuri, N Rezaei, G Kovacs… - arXiv preprint arXiv …, 2024 - arxiv.org
Despite the proliferation of wearable health trackers and the importance of sleep and
exercise to health, deriving actionable personalized insights from wearable data remains a …

Accuracy, Consistency, and Hallucination of Large Language Models When Analyzing Unstructured Clinical Notes in Electronic Medical Records

SV Shah - JAMA Network Open, 2024 - jamanetwork.com
Researchers have been exploring advanced artificial intelligence (AI) techniques such as
large language models (LLMs) to enhance data extraction from clinical notes in electronic …

Leveraging large language models to foster equity in healthcare

JA Rodriguez, E Alsentzer… - Journal of the American …, 2024 - academic.oup.com
Abstract Objectives Large language models (LLMs) are poised to change care delivery, but
their impact on health equity is unclear. While marginalized populations have been …

A Perceptual and Interactive Integration Strategy Toward Telemedicine Healthcare Based on Electroluminescent Display and Triboelectric Sensing 3D Stacked …

Y Li, Q Lin, T Sun, M Qin, W Yue… - Advanced Functional …, 2024 - Wiley Online Library
The conventional medical assistive strategy for wearable devices involves sensing
physiological signals and subsequent analysis while it lacks the capability for visual …

Scalable information extraction from free text electronic health records using large language models

B Gu, V Shao, Z Liao, V Carducci, S Romero-Brufau… - medRxiv, 2024 - medrxiv.org
Background: A vast amount of potentially useful information such as description of patient
symptoms, family, and social history is recorded as free-text notes in electronic health …

ChatGPT provides inconsistent risk-stratification of patients with atraumatic chest pain

TF Heston, LM Lewis - Plos one, 2024 - journals.plos.org
Background ChatGPT-4 is a large language model with promising healthcare applications.
However, its ability to analyze complex clinical data and provide consistent results is poorly …