Artificial Intelligence Medical Compendium

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

Showing 13,781 to 13,790 of 211,462 articles

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 

Breastfeeding Prediction Using Machine Learning: Insights into Key Predictors and Model Performance.

Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine
BACKGROUND: Breastfeeding shows persistent disparities shaped by complex maternal, infant, and household factors, making prediction challenging. As traditional models struggle to capture such complexity, this study aims to identify predictors of ever... read more 

Machine learning-assisted clone selection for intensified cell culture processes.

Biotechnology progress
Intensified fed-batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space-time yields relative to traditional, non-intensified fed-batch processes. However, the shift towards intensified manufacturing has ... read more 

Skeletal Muscle Mass Estimation from Lower Leg Digital Images Using Machine Learning.

Progress in rehabilitation medicine
OBJECTIVES: In the current study, a convolutional neural network (CNN) model for estimating the skeletal muscle index (SMI) from lower leg digital images was developed, and its predictive performance was evaluated. METHODS: One hundred healthy adults... read more 

Human-AI Interaction in Kidney Transplant Decision Support Systems: Qualitative Study of Patient and Support Person Expectations.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, including clinical decision-making. AI-based decision support systems (DSS) can enhance early risk detection and treatment optimization. However, the perspectives of patien... read more