[HTML][HTML] Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews
Background PRISMA-based literature reviews require meticulous scrutiny of extensive
textual data by multiple reviewers, which is associated with considerable human effort …
textual data by multiple reviewers, which is associated with considerable human effort …
Matching patients to clinical trials with large language models
Patient recruitment is challenging for clinical trials. We introduce TrialGPT, an end-to-end
framework for zero-shot patient-to-trial matching with large language models. TrialGPT …
framework for zero-shot patient-to-trial matching with large language models. TrialGPT …
Genegpt: Augmenting large language models with domain tools for improved access to biomedical information
Motivation While large language models (LLMs) have been successfully applied to various
tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific …
tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific …
Zero-shot clinical trial patient matching with llms
Matching patients to clinical trials is a key challenge in bringing new drugs to market.
Identifying patients who meet eligibility criteria for a trial is highly manual, taking up to 1 hour …
Identifying patients who meet eligibility criteria for a trial is highly manual, taking up to 1 hour …
Improving retrieval-augmented generation in medicine with iterative follow-up questions
The emergent abilities of large language models (LLMs) have demonstrated great potential
in solving medical questions. They can possess considerable medical knowledge, but may …
in solving medical questions. They can possess considerable medical knowledge, but may …
[HTML][HTML] A Review of Large Language Models in Healthcare: Taxonomy, Threats, Vulnerabilities, and Framework
R Hamid, S Brohi - Big Data and Cognitive Computing, 2024 - mdpi.com
Due to the widespread acceptance of ChatGPT, implementing large language models
(LLMs) in real-world applications has become an important research area. Such …
(LLMs) in real-world applications has become an important research area. Such …
A perspective for adapting generalist ai to specialized medical ai applications and their challenges
The integration of Large Language Models (LLMs) into medical applications has sparked
widespread interest across the healthcare industry, from drug discovery and development to …
widespread interest across the healthcare industry, from drug discovery and development to …
End-to-end clinical trial matching with large language models
Matching cancer patients to clinical trials is essential for advancing treatment and patient
care. However, the inconsistent format of medical free text documents and complex trial …
care. However, the inconsistent format of medical free text documents and complex trial …
Demystifying large language models for medicine: A primer
Large language models (LLMs) represent a transformative class of AI tools capable of
revolutionizing various aspects of healthcare by generating human-like responses across …
revolutionizing various aspects of healthcare by generating human-like responses across …
Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation
Objective Automated identification of eligible patients is a bottleneck of clinical research. We
propose Criteria2Query (C2Q) 3.0, a system that leverages GPT-4 for the semi-automatic …
propose Criteria2Query (C2Q) 3.0, a system that leverages GPT-4 for the semi-automatic …