Artificial Intelligence Medical Compendium

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

Showing 1,291 to 1,300 of 163,745 articles

A machine learning optimized Dielectric Ultra-focused Oscillatory (DUO) electrode for low temperature electrosurgery.

Scientific reports Jul 26, 2025
The widespread adoption of radio frequency (RF) energy has made electrosurgery a cornerstone of modern surgical procedures, primarily due to its ability to minimize blood loss during, or independent of, tissue incision. Among the various electrosurgi... read more 

Smartphone-derived optical proxies for estimating toxicity risk of Microcystis aeruginosa complex in inland waters.

Environmental monitoring and assessment Jul 26, 2025
Toxic blooms dominated by cyanobacterial colonies of Microcystis aeruginosa complex (MAC) accumulate in the water surface, so they can be tracked by remote sensing. The abundance of toxic MAC cells is related to colony size, a parameter affecting wat... read more 

HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare

arXiv Jul 26, 2025
Knowledge graphs (KGs) are important products of the semantic web, which are widely used in various application domains. Healthcare is one of such domains where KGs are intensively used, due to the high requirement for knowledge accuracy and interc... read more 
Artificial Intelligence Machine Learning

TS-Insight: Visualizing Thompson Sampling for Verification and XAI

arXiv Jul 26, 2025
Thompson Sampling (TS) and its variants are powerful Multi-Armed Bandit algorithms used to balance exploration and exploitation strategies in active learning. Yet, their probabilistic nature often turns them into a ``black box'', hindering debuggin... read more 
Human-Computer Interaction Artificial Intelligence Machine Learning Machine Learning I.2.6; H.5.2

AI-Based Clinical Rule Discovery for NMIBC Recurrence through Tsetlin Machines

arXiv Jul 26, 2025
Bladder cancer claims one life every 3 minutes worldwide. Most patients are diagnosed with non-muscle-invasive bladder cancer (NMIBC), yet up to 70% recur after treatment, triggering a relentless cycle of surgeries, monitoring, and risk of progress... read more 
Machine Learning Artificial Intelligence

Enhancing reliability and security in cloud-based telesurgery systems leveraging swarm-evoked distributed federated learning framework to mitigate multiple attacks.

Scientific reports Jul 26, 2025
Advances in robotic surgery are being driven by the convergence of technologies such as artificial intelligence (AI), 5G/6G wireless communication, the Internet of Things (IoT), and edge computing, enhancing clinical precision, speed, and real-time d... read more 

Transforming label-efficient decoding of healthcare wearables with self-supervised learning and "embedded" medical domain expertise.

Communications engineering Jul 26, 2025
Healthcare wearables are transforming health monitoring, generating vast and complex data in everyday free-living environments. While supervised deep learning has enabled tremendous advances in interpreting such data, it remains heavily dependent on ... read more 

Proactive recognition and early detection in communities through targeted HIV screening.

Scientific reports Jul 26, 2025
Human Immunodeficiency Virus (HIV) remains a critical public health concern, and is a significant global health challenge, particularly in developing countries. Early HIV detection supports targeted interventions, and substantially reduce the HIV bur... read more 

A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract.

European journal of medical research Jul 26, 2025
Various diseases, such as colon cancer, gastric cancer, celiac, and bleeding, pose a significant risk to the gastrointestinal (GI) tract, which serves as a fundamental component of the human body. It is less invasive to observe the inner part for dis... read more 
Diagnosis, Computer-Assisted Gastrointestinal Tract Machine Learning Humans Gastrointestinal Diseases

Disease activity and treatment response in early rheumatoid arthritis: an exploratory metabolomic profiling in the NORD-STAR cohort.

Arthritis research & therapy Jul 26, 2025
BACKGROUND: The variability in treatment response in people with rheumatoid arthritis (RA) warrants the prediction of patients at high risk of treatment failure. Identification of biomarkers linked to clinical remission in RA is currently a challenge... read more 
Cohort Studies Arthritis, Rheumatoid Middle Aged Metabolome Antirheumatic Agents Metabolomics Treatment Outcome Aged Male Humans Biomarkers Female Adult
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