A machine learning model may enable liver cancer risk prediction with routine clinical information

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
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Development, Validation, and Clinical Utility of Electronic Patient-Reported Outcome Measure-Enhanced Prediction Models for Overall Survival in Patients With Advanced Non ...

Measurement of Completeness and Timeliness of Linked Electronic Health Record Pharmacy Data for Early Detection of Nonadherence to Breast Cancer Adjuvant Endocrine Therapy The clinical factor–only ...
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Large Language Models in Oncology: Navigating Promise and Prudence in a Rapidly Evolving Landscape

The emergence of large language models (LLMs) represents one of the most transformative technological shifts in modern medicine. These sophisticated artificial intelligence systems, capable of ...