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 …
Large language model use in clinical oncology
N Carl, F Schramm, S Haggenmüller, JN Kather… - NPJ Precision …, 2024 - nature.com
Large language models (LLMs) are undergoing intensive research for various healthcare
domains. This systematic review and meta-analysis assesses current applications …
domains. This systematic review and meta-analysis assesses current applications …
[HTML][HTML] Applications of Multimodal Artificial Intelligence in Non-Hodgkin Lymphoma B Cells
P Isavand, SS Aghamiri, R Amin - Biomedicines, 2024 - mdpi.com
Given advancements in large-scale data and AI, integrating multimodal artificial intelligence
into cancer research can enhance our understanding of tumor behavior by simultaneously …
into cancer research can enhance our understanding of tumor behavior by simultaneously …
Integrating large language models in care, research, and education in multiple sclerosis management
H Inojosa, I Voigt, J Wenk, D Ferber… - Multiple Sclerosis …, 2024 - journals.sagepub.com
Use of techniques derived from generative artificial intelligence (AI), specifically large
language models (LLMs), offer a transformative potential on the management of multiple …
language models (LLMs), offer a transformative potential on the management of multiple …
Mdagents: An adaptive collaboration of llms for medical decision-making
Foundation models are becoming valuable tools in medicine. Yet despite their promise, the
best way to leverage Large Language Models (LLMs) in complex medical tasks remains an …
best way to leverage Large Language Models (LLMs) in complex medical tasks remains an …
On the Foundations of Earth and Climate Foundation Models
Foundation models have enormous potential in advancing Earth and climate sciences,
however, current approaches may not be optimal as they focus on a few basic features of a …
however, current approaches may not be optimal as they focus on a few basic features of a …
How AI agents will change cancer research and oncology
Deep learning models are advancing cancer research and oncology but require human
engagement to perform complex multi-step workflows. Autonomous artificial intelligence …
engagement to perform complex multi-step workflows. Autonomous artificial intelligence …
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
This study introduces the Federated Medical Knowledge Injection (FEDMEKI) platform, a
new benchmark designed to address the unique challenges of integrating medical …
new benchmark designed to address the unique challenges of integrating medical …
Assessing large language models for oncology data inference from radiology reports
PURPOSE We examined the effectiveness of proprietary and open large language models
(LLMs) in detecting disease presence, location, and treatment response in pancreatic …
(LLMs) in detecting disease presence, location, and treatment response in pancreatic …
Powerful microscopy technologies decode spatially organized cellular networks that drive response to immunotherapy in humans
Highlights•CXCL9/10/11+ cell networks have been found in multiple immunogenic human
cancers.•TCF1/7+ CD8+ aggregates are associated with favorable patient …
cancers.•TCF1/7+ CD8+ aggregates are associated with favorable patient …