Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 13,271 to 13,280 of 211,153 articles

Predicting 30-Day Heart Failure Readmissions Using Machine Learning: Insights From the Kansas Health Information Network (KHIN)

medRxiv
Background: Heart failure (HF) is a major contributor to inpatient hospital utilization, with persistently high 30-day readmission rates. Existing prediction tools are frequently restricted to primary-diagnosis HF admissions, potentially excluding cl... read more 

Privacy-Preserving Large Language Model Deployment for Oncology Registry Abstraction: Structure-Aware Evaluation in a Real-World Clinical Setting

medRxiv
Background: Structuring oncology clinical notes into registry-grade variables is essential for research and care but remains labour-intensive and error-prone. Objective: To develop and evaluate a privacy-preserving large language model pipeline for o... read more 

Computational Transformation of Chemical Biology for Precision Therapeutics: Facilitating In-Silico Study of Role of Cuproptosis in Early Detection of Alzheimers Disease

medRxiv
Background: Alzheimers disease (AD) is a multifactorial neurodegenerative disorder in which copper dyshomeostasis, mitochondrial stress, oxidative injury and immune dysregulation may contribute to pathogenesis. Cuproptosis, a copper-triggered regulat... read more 

Language-dependent diagnostic safety of medical AI systems: a cross-lingual benchmarking and prospective clinical study

medRxiv
Background Patients worldwide receive healthcare in many languages, yet medical AI systems are validated almost exclusively in high-resource languages such as English and Chinese, exposing patients in other linguistic settings to unquantified diagnos... read more 

Role of tectonic rock damage in erosional processes: A global analysis.

Science (New York, N.Y.)
The role of active faults in driving rock uplift is well known, but their influence on rock damage and erosional efficiency remains unclear globally. Using 1744 beryllium-10 (10Be)-derived erosion rates, we show that erosional efficiency is elevated ... read more 

Progression without progress.

Science (New York, N.Y.)
Progress in the use of artificial intelligence (AI) to advance scientific discovery has made it increasingly realistic to envision automated "end-to-end science" (ETES) systems: integrated pipelines that could generate hypotheses, run experiments (in... read more 

Experimental and Computational Approaches to Identify Noncoding Pathogenic Variation in Rare Disease.

Annual review of genomics and human genetics
Noncoding variants occur within noncoding genes as well as within the regulatory nontranslated regions of protein-coding genes. It is important to be aware that these variants have been increasingly implicated in developmental disease through a varie... read more 

Lung Cancer Screening and Prevention: Beyond Conventional Strategies in a Rapidly Changing Global Milieu.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Lung cancer remains the leading cause of cancer-related mortality worldwide despite advances in early detection and treatment. Furthermore, its epidemiology has undergone a profound transformation, necessitating a radical and comprehensive departure ... read more 

Mobile Learning in Medical Education: Quasi-Experimental Realist Evaluation of Usage, Context, and Examination Performance in a Curricular Setting.

JMIR medical education
BACKGROUND: Mobile learning (mLearning) is widely used in medical education. Previous research has focused on technology acceptance and intervention effectiveness, but rarely on their integration. Using realist evaluation, this study investigated the... read more