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 …
A scoping review of using large language models (llms) to investigate electronic health records (ehrs)
Electronic Health Records (EHRs) play an important role in the healthcare system. However,
their complexity and vast volume pose significant challenges to data interpretation and …
their complexity and vast volume pose significant challenges to data interpretation and …
Large language model–based responses to patients' in-basket messages
WR Small, B Wiesenfeld, B Brandfield-Harvey… - JAMA network …, 2024 - jamanetwork.com
Importance Virtual patient-physician communications have increased since 2020 and
negatively impacted primary care physician (PCP) well-being. Generative artificial …
negatively impacted primary care physician (PCP) well-being. Generative artificial …
Medec: A benchmark for medical error detection and correction in clinical notes
Several studies showed that Large Language Models (LLMs) can answer medical questions
correctly, even outperforming the average human score in some medical exams. However …
correctly, even outperforming the average human score in some medical exams. However …
Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities
JM Tshimula, M Kalengayi, D Makenga… - arXiv preprint arXiv …, 2024 - arxiv.org
Artificial Intelligence (AI) is revolutionizing various fields, including public health
surveillance. In Africa, where health systems frequently encounter challenges such as …
surveillance. In Africa, where health systems frequently encounter challenges such as …
The TRIPOD-LLM statement: a targeted guideline for reporting large language models use
J Gallifant, M Afshar, S Ameen, Y Aphinyanaphongs… - medRxiv, 2024 - medrxiv.org
Large Language Models (LLMs) are rapidly being adopted in healthcare, necessitating
standardized reporting guidelines. We present TRIPOD-LLM, an extension of the TRIPOD+ …
standardized reporting guidelines. We present TRIPOD-LLM, an extension of the TRIPOD+ …
Answering real-world clinical questions using large language model based systems
YS Low, ML Jackson, RJ Hyde, RE Brown… - arXiv preprint arXiv …, 2024 - arxiv.org
Evidence to guide healthcare decisions is often limited by a lack of relevant and trustworthy
literature as well as difficulty in contextualizing existing research for a specific patient. Large …
literature as well as difficulty in contextualizing existing research for a specific patient. Large …
[HTML][HTML] The potential impact of large language models on doctor–patient communication: A case study in prostate cancer
Background: In recent years, the integration of large language models (LLMs) into
healthcare has emerged as a revolutionary approach to enhancing doctor–patient …
healthcare has emerged as a revolutionary approach to enhancing doctor–patient …
A strategy for cost-effective large language model use at health system-scale
Large language models (LLMs) can optimize clinical workflows; however, the economic and
computational challenges of their utilization at the health system scale are underexplored …
computational challenges of their utilization at the health system scale are underexplored …
[HTML][HTML] Digital Information Ecosystems in Modern Care Coordination and Patient Care Pathways and the Challenges and Opportunities for AI Solutions
The integration of digital technologies into health care has significantly enhanced the
efficiency and effectiveness of care coordination. Our perspective paper explores the digital …
efficiency and effectiveness of care coordination. Our perspective paper explores the digital …