A sco** 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 models in medical and healthcare fields: applications, advances, and challenges
D Wang, S Zhang - Artificial Intelligence Review, 2024 - Springer
Large language models (LLMs) are increasingly recognized for their advanced language
capabilities, offering significant assistance in diverse areas like medical communication …
capabilities, offering significant assistance in diverse areas like medical communication …
Fingpt: Democratizing internet-scale data for financial large language models
Large language models (LLMs) have demonstrated remarkable proficiency in
understanding and generating human-like texts, which may potentially revolutionize the …
understanding and generating human-like texts, which may potentially revolutionize the …
Prompt engineering for healthcare: Methodologies and applications
Prompt engineering is a critical technique in the field of natural language processing that
involves designing and optimizing the prompts used to input information into models, aiming …
involves designing and optimizing the prompts used to input information into models, aiming …
Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …
integration into clinical practice. This review describes the current state of the field, with a …
A continued pretrained llm approach for automatic medical note generation
LLMs are revolutionizing NLP tasks. However, the use of the most advanced LLMs, such as
GPT-4, is often prohibitively expensive for most specialized fields. We introduce HEAL, the …
GPT-4, is often prohibitively expensive for most specialized fields. We introduce HEAL, the …
Unifying corroborative and contributive attributions in large language models
As businesses, products, and services spring up around large language models, the
trustworthiness of these models hinges on the verifiability of their outputs. However, methods …
trustworthiness of these models hinges on the verifiability of their outputs. However, methods …
Assessing and enhancing large language models in rare disease question-answering
Despite the impressive capabilities of Large Language Models (LLMs) in general medical
domains, questions remain about their performance in diagnosing rare diseases. To answer …
domains, questions remain about their performance in diagnosing rare diseases. To answer …
Utilizing ChatGPT to enhance clinical trial enrollment
Clinical trials are a critical component of evaluating the effectiveness of new medical
interventions and driving advancements in medical research. Therefore, timely enrollment of …
interventions and driving advancements in medical research. Therefore, timely enrollment of …
Prospects for AI clinical summarization to reduce the burden of patient chart review
Effective summarization of unstructured patient data in electronic health records (EHRs) is
crucial for accurate diagnosis and efficient patient care, yet clinicians often struggle with …
crucial for accurate diagnosis and efficient patient care, yet clinicians often struggle with …