Artificial Intelligence Medical Compendium

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

Showing 21,181 to 21,190 of 216,348 articles

Machine learning approaches for resource management and forecasting in energy consumption systems.

Scientific reports
Renewable Energy Systems (RES) have become necessary with the growing need for sustainable energy globally; however, RES faces several problems such as power outages, instability and economic loss. These challenges are structured into three specific ... read more 

Integrative analysis of single-cell and transcriptomic data with RT-qPCR validation explores TRPM4-associated gene signatures in osteoarthritis synovium.

Scientific reports
Osteoarthritis (OA) is a chronic, disabling condition whose pathogenesis remains unclear. TRPM4 is closely associated with OA, but its specific roles and regulatory networks within different cell subsets remain to be elucidated. This study integrates... read more 

Leveraging AI and multi-source satellite imagery for multi-hazard monitoring and susceptibility mapping in urban areas.

Scientific reports
The increasing frequency and severity of natural hazards, such as floods, wildfires, land degradation, and ground displacement, pose significant challenges to the protection of urban areas worldwide. While traditional monitoring approaches based on a... read more 

Dataset documentation for responsible AI: analysis of suitability and usage for health datasets.

NPJ digital medicine
Artificial Intelligence (AI) is rapidly transforming healthcare, but also raising concerns about algorithmic biases that mostly stem from the training data. It is widely supported that transparent dataset documentation is key to enabling responsible ... read more 

Parkinson's disease severity is encoded by non-linear oscillatory interactions across cortical-subcortical networks.

Scientific reports
Parkinson's Disease (PD) is characterized by motor symptoms linked to dysregulated neural activity within basal ganglia-thalamocortical (BGTC) circuits. While clinical assessments such as the Unified Parkinson's Disease Rating Scale (UPDRS) effective... read more 

Clinician engagement shapes the impact of AI-based ECG screening for chronic liver disease in primary care.

NPJ digital medicine
Artificial intelligence (AI)-based screening tools show promise for early identification of chronic liver disease (CLD), yet their effectiveness in real-world settings may depend on clinician response to AI-generated recommendations. We performed a p... read more 

A fully automated framework for acoustic identification and localization of terrestrial wildlife at scale.

Communications biology
Autonomous acoustic recorders are increasingly important tools for monitoring sound-producing taxa. Coupled with advances in machine learning, they enable greater sampling effort and larger spatial and temporal scales than in-person surveys. With syn... read more 

Predicting atrial fibrillation recurrence after radiofrequency ablation using the AIFV system: a prospective observational study.

BMC cardiovascular disorders
BACKGROUND: Pulmonary vein isolation (PVI) has become the cornerstone of atrial fibrillation (AF) treatment. Nevertheless, the efficacy of radiofrequency ablation remains limited by a substantial rate of recurrence. The selection of anesthesia, the s... read more 

When to stop reviewing: validation of stop criteria in ASReview.

BMC medical research methodology
BACKGROUND: Systematic reviews are essential for evidence-based research, but they often require a great deal of time and effort. Although title and abstract (T&A) screening is just one part of the review process, it can be very time-consuming when s... read more