Artificial Intelligence Medical Compendium

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

Showing 13,381 to 13,390 of 211,153 articles

Predicting future dementia from routine clinical MRI and linked healthcare data.

Alzheimer's research & therapy
BACKGROUND: Early identification of individuals at risk of dementia is essential for preventive care and timely enrolment into disease-modifying interventions. However, most existing prediction approaches rely on invasive, costly, or research-only bi... read more 

Automated ultrasound with AI for osteophyte grading in hand osteoarthritis: comparison with expert rheumatologist assessment.

BMC rheumatology
BACKGROUND: The objective of this study was to characterise the agreement of the CE-certified automated robotic ultrasound system ARTHUR v.2.0, combined with the AI model DIANA v.2.0, for grading osteophytes in hand osteoarthritis (OA), using expert ... read more 

Identification and validation of biomarkers associated with mitotic catastrophe in high-altitude hypoxia.

Hereditas
BACKGROUND: High-altitude hypoxia (HAH) can cause adverse reactions, such as tinnitus and barotrauma, but the role of mitotic catastrophe (MC) in HAH remains unreported. This study investigated MC-associated biomarkers in HAH. METHODS: HAH-related da... read more 

Targeting metabolic dysregulation in postmenopausal breast cancer: Synergistic effects of nutrition-based interventions and exercise on molecular and cellular pathways.

Cancer cell international
Postmenopausal females diagnosed with breast cancer who are undergoing aromatase inhibitor (AI) therapy often exhibit metabolic disturbances, which may manifest as insulin resistance, dyslipidemia, increased adiposity, and an elevated risk of cardiov... read more 

TrainTracks - federated learning for reproducible research on sensitive medical data.

BMC medical informatics and decision making
BACKGROUND: Reproducibility of computational algorithms is a challenging but crucial requirement for medical research and an important component of trustworthy training and application of AI algorithms. Federated Learning (FL) is commonly used to ena... read more 

The CT colonography radiology and data system: history, updates, and future directions.

Cancer imaging : the official publication of the International Cancer Imaging Society
Computed tomography colonography, also known as virtual colonoscopy, is a minimally invasive imaging technique developed in the early 1990s to evaluate the colon for polyps, cancer, and other abnormalities. Advances in multidetector computed tomograp... read more 

Hyperbaric oxygen in the artificial intelligence era: integration and innovation.

Medical gas research
Hyperbaric oxygen therapy is established for decompression illness, carbon monoxide poisoning, radiation-induced tissue injury, and diabetic foot ulcers. Interest in neurological and inflammatory indications is growing, yet outcomes are constrained b... read more 

Diagnostic Accuracy of Pressure Injury Risk Assessment Tools for Critically Ill Patients: A Systematic Review and Network Meta-Analysis.

Journal of clinical nursing
AIMS AND OBJECTIVES: To systematically evaluate and compare the diagnostic accuracy of pressure injury risk assessment tools in critically ill adult patients through a network meta-analysis. DESIGN: Systematic review and network meta-analysis. METHOD... read more 

AI-designed OpenCRISPR-1 performs robust knockout, base editing, and prime editing in rice.

The New phytologist
Plant OpenCRISPR-1 (POC1) mediates knockout and adenine base editing in rice. read more 

Spatio-Temporal Attention with Spiking Neural Networks for Seizure Detection from Electroencephalogram Signals.

International journal of neural systems
Timely and accurate detection of seizures from Electroencephalogram (EEG) signals is critical for the effective management of epilepsy. Although deep learning and artificial neural networks (ANNs) have substantially advanced automated seizure detecti... read more