Large language models to identify social determinants of health in electronic health records

M Guevara, S Chen, S Thomas, TL Chaunzwa… - NPJ digital …, 2024 - nature.com
Social determinants of health (SDoH) play a critical role in patient outcomes, yet their
documentation is often missing or incomplete in the structured data of electronic health …

Revolutionizing radiation therapy: the role of AI in clinical practice

M Kawamura, T Kamomae, M Yanagawa… - Journal of radiation …, 2024 - academic.oup.com
This review provides an overview of the application of artificial intelligence (AI) in radiation
therapy (RT) from a radiation oncologist's perspective. Over the years, advances in …

Large language models in biomedical and health informatics: A review with bibliometric analysis

H Yu, L Fan, L Li, J Zhou, Z Ma, L Xian, W Hua… - Journal of Healthcare …, 2024 - Springer
Large language models (LLMs) have rapidly become important tools in Biomedical and
Health Informatics (BHI), potentially enabling new ways to analyze data, treat patients, and …

Enhancing federated semi-supervised learning with out-of-distribution filtering amidst class mismatches

J Jin, F Ni, S Dai, K Li, B Hong - Journal of Computer Technology …, 2024 - suaspress.org
Federated Learning (FL) has gained prominence as a method for training models on edge
computing devices, enabling the preservation of data privacy by eliminating the need to …

Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence–Ready Informatics Ecosystem for Radiation Oncology

DS Bitterman, MF Gensheimer, D Jaffray… - JCO clinical cancer …, 2023 - ascopubs.org
In August 2022, the Cancer Informatics for Cancer Centers brought together cancer
informatics leaders for its biannual symposium, Precision Medicine Applications in Radiation …

Natural Language Processing for Radiation Oncology: Personalizing Treatment Pathways

H Lin, L Ni, C Phuong, JC Hong - … and Personalized Medicine, 2024 - Taylor & Francis
Natural language processing (NLP), a technology that translates human language into
machine-readable data, is revolutionizing numerous sectors, including cancer care. This …

[引用][C] Advancing Readership Needs of the Clinical Cancer Informatics Community

VE Kennedy, BA Bates, MK Rooney - JCO Clinical Cancer Informatics, 2024 - ascopubs.org
Over the past several decades, there has been an explosion in the availability and
complexity of cancer-related clinical data. This trend has created exciting opportunities to …