Artificial Intelligence Medical Compendium

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

Showing 39,861 to 39,870 of 223,737 articles

Generative AI in structure-based drug discovery.

BMC biology
Generative artificial intelligence is reshaping how researchers discover protein-binding compounds and develop them into drug candidates. Unlike traditional methods that screen existing molecules, structure-based generative AI designs novel compounds... read more 

Machine learning algorithms for identifying tuberculous pericardial effusion: insights from a retrospective study in Vietnam.

BMC medical informatics and decision making
BACKGROUND: Tuberculous pericardial effusion (TPE) presents significant diagnostic challenges due to its nonspecific clinical presentation and similarities with other types of pericardial effusion. The available data on the use of artificial intellig... read more 

When seconds matter - introducing a surgical salvage strategy by emergency robotic surgery: a review.

Patient safety in surgery
Robotic surgery has expanded minimally invasive options but introduces specific vulnerabilities during intraoperative emergencies. The physical separation of the surgeon from the patient, restricted access due to docking, and dependence on complex te... read more 

PrivEdge: a hybrid split-federated learning framework for real-time electricity theft detection on edge nodes.

Scientific reports
Electricity theft is one of the primary contributors of non-technical losses in contemporary power grids, and traditional centralized methods of detection are limited in scale, feature a large communication cost, and create privacy issues. The presen... read more 

Enhanced smart commuting with artificial intelligence for intelligent health and safety monitoring in school buses.

Scientific reports
This paper introduces ESC.AI (Enhanced Smart Commuting with Artificial Intelligence), an intelligent and integrated safety framework designed to improve health monitoring, environmental awareness, behavioral detection, driver supervision, and route o... read more 

Rapid earthquake damage assessment via hybrid LSTM-RNN with a quantum-inspired classification head based on Autonomous Perceptron Model APM.

Scientific reports
Rapid post-event assessment of earthquake damage is essential for resilient emergency response and risk mitigation. We present a multi-scenario deep learning framework that uses stacked LSTM and a hybrid LSTM-RNN to (i) forecast structural response v... read more 

Leveraging Industry 4.0 technologies for organizational sustainability performance in Chinese firms: an NRBV-mediated model advancing UN SDGs 9 and 12.

Scientific reports
The rapid integration of Industry 4.0 technologies offers new pathways for Chinese manufacturers to reconcile operational efficiency with environmental stewardship. Grounded in the Natural Resource-Based View (NRBV), this study investigates how digit... read more 

Development and validation of an interpretable prediction model for the risk of unplanned reoperation in patients underwent intracranial tumor surgery.

Scientific reports
Brain and central nervous system (CNS) malignancies represent a substantial burden on healthcare systems worldwide, and unplanned reoperations following initial surgery are critical events influencing clinical prognosis. Current predictive tools for ... read more