Artificial Intelligence Medical Compendium

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

Showing 9,301 to 9,310 of 208,566 articles

Reproducible workflow for online artificial intelligence in digital health.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences May 28, 2026
Online artificial intelligence (AI) algorithms are an important component of digital health interventions. These online algorithms are designed to continually learn and improve their performance as streaming data are collected on individuals. Deployi... read more 

Machine learning workflows in climate modelling: design patterns and insights from case studies.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences May 28, 2026
Machine learning (ML) has been increasingly applied in climate modelling on system emulation acceleration, data-driven parameter inference, forecasting and knowledge discovery, addressing challenges such as physical consistency, multi-scale coupling,... read more 

Unsupervised machine learning for scientific discovery: workflow and best practices.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences May 28, 2026
Unsupervised machine learning is widely used to mine large, unlabelled datasets to make data-driven discoveries in critical domains such as climate science, biomedicine, astronomy, chemistry and more. However, despite its widespread utilization, ther... read more 

Predictability-Computability-Stability workflow for veridical data science in the age of artificial intelligence.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences May 28, 2026
Data science is a pillar of artificial intelligence (AI), which is transforming nearly every domain of human activity, from the social and physical sciences to engineering and medicine. While data-driven findings in AI offer unprecedented power to ex... read more 

Current trends in machine learning for surface-enhanced Raman spectroscopy.

The Analyst May 28, 2026
Surface-enhanced Raman spectroscopy (SERS) is being transformed by the widespread adoption of artificial intelligence across the full methodological spectrum. Conventional machine learning is routinely applied for robust baselines and rapid deploymen... read more 

Automated recognition of surgical phases in robot-assisted radical prostatectomy using a Hiera-based vision transformer.

BJU international May 28, 2026
OBJECTIVES: To construct a reliable robot-assisted radical prostatectomy (RARP) surgical phase-recognition model and sought to deploy the model within the SurgSmart platform (Chengdu Withai Innovations Technology Co., Ltd., Chengdu, China) to explore... read more 

Evolving Landscape for Artificial Intelligence in the Diagnosis and Histopathologic Assessment of Oral and Oropharyngeal Cancer.

Head and neck pathology May 28, 2026
PURPOSE: For patients with oral cavity cancer (OCC) and oropharyngeal cancer (OPC), the time between initial diagnosis and start of treatment can have a significant impact on treatment outcomes. This perspective piece looks at current and emerging ar... read more 

Up-regulation of SLC26A3 enhances oxaliplatin sensitivity in colorectal cancer.

Discover oncology May 28, 2026
The role of SLC26A3 in the sensitivity to oxaliplatin, a widely used chemotherapy drug for colorectal cancer (CRC), remains unclear. This study aimed to explore the association between SLC26A3 expression and oxaliplatin sensitivity. Total 240 differe... read more 

ASO Author Reflections: From Four Spatial-Input Strategies to a Full Exhaustive Paradigm-Refining Deep Learning Radiomics for Challenging Renal Masses.

Annals of surgical oncology May 28, 2026
read more 

Automated identification of MRI series using a hierarchical modular machine-learning pipeline.

European radiology experimental May 28, 2026
OBJECTIVE: The volume and diversity of large MR imaging datasets require efficient automated labelling tools for cataloguing MR series, as manual annotation is impractical and costly. However, relying on DICOM header fields alone is unreliable becaus... read more 
Popular Topics
Recent Journals