[HTML][HTML] Large language models in healthcare and medical domain: A review

ZA Nazi, W Peng - Informatics, 2024 - mdpi.com
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …

A comprehensive survey of large language models and multimodal large language models in medicine

H **ao, F Zhou, X Liu, T Liu, Z Li, X Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal
large language models (MLLMs) have garnered significant attention due to their powerful …

Unleashing cheapfakes through trojan plugins of large language models

T Dong, G Chen, S Li, M Xue, R Holland… - arxiv preprint arxiv …, 2023 - arxiv.org
Open-source Large Language Models (LLMs) have recently gained popularity because of
their comparable performance to proprietary LLMs. To efficiently fulfill domain-specialized …

Generalist embedding models are better at short-context clinical semantic search than specialized embedding models

JB Excoffier, T Roehr, A Figueroa… - arxiv preprint arxiv …, 2024 - arxiv.org
The increasing use of tools and solutions based on Large Language Models (LLMs) for
various tasks in the medical domain has become a prominent trend. Their use in this highly …

Best Practices for Large Language Models in Radiology

C Bluethgen, D Van Veen, C Zakka, K Link… - arxiv preprint arxiv …, 2024 - arxiv.org
At the heart of radiological practice is the challenge of integrating complex imaging data with
clinical information to produce actionable insights. Nuanced application of language is key …

The Role of Language Models in Modern Healthcare: A Comprehensive Review

A Khalid, A Khalid, U Khalid - arxiv preprint arxiv:2409.16860, 2024 - arxiv.org
The application of large language models (LLMs) in healthcare has gained significant
attention due to their ability to process complex medical data and provide insights for clinical …

Biomedical Visual Instruction Tuning with Clinician Preference Alignment

H Cui, L Mao, X Liang, J Zhang, H Ren, Q Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent advancements in multimodal foundation models have showcased impressive
capabilities in understanding and reasoning with visual and textual information. Adapting …

Aplicaciones de la Inteligencia Artificial Generativa (IAG) en el Contexto de la Seguridad

B Salgado García - 2024 - openaccess.uoc.edu
Este proyecto explora cómo la IA generativa ofrece tanto oportunidades como desafíos en el
campo de la seguridad. Por un lado, puede crear nuevos vectores de ataque, y por otro …

[PDF][PDF] An Interface for Clinicians: Finding Crucial Information with Language Models in Electronic Health Records

DJ McInerney - 2024 - repository.library.northeastern.edu
Abstract Machine learning is often employed to solve tasks autonomously, but it is frequently
necessary and more useful to aid domain experts rather than replacing them. Using …

BOLTZMANN SEMANTIC SCORE: ASemantic METRIC FOR EVALUATING LARGE VISION MODELS USING LARGE LANGUAGE MODELS

EL VISION - openreview.net
Do Large Vision Models (LVMs) extract medically and semantically relevant features similar
to those identified by human experts? Currently, only biased, qualitative approaches with …