Artificial Intelligence Medical Compendium

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

Showing 60,441 to 60,450 of 228,072 articles

A randomized controlled trial of a WeChat-based artificial intelligence agent for postoperative care in orthopedic patients.

NPJ digital medicine
Effective postoperative management in orthopedic surgery is often hindered by challenges such as poor patient adherence to rehabilitation protocols, insufficient monitoring of wound healing, inadequate pain control, and limited access to timely psych... read more 

Wearable device derived electrocardiographic age and its association with atrial fibrillation.

NPJ digital medicine
Artificial intelligence (AI)-derived electrocardiographic (ECG) age is a promising marker of atrial fibrillation (AF) risk. We developed PROPHECG-Age Single-an AI model estimating ECG age from wearable single-lead ECGs-and examined whether the ECG-ag... read more 

Multi-task non-contact ballistocardiogram-based vital signs monitoring in acupuncture.

Computers in biology and medicine
The study introduces an innovative approach for efficient vital signs monitoring in acupuncture by combining multi-channel ballistocardiogram (BCG) signals and multi-task learning, taking advantage of the polyvinylidene fluoride (PVDF) film sensor an... read more 

Pollution risk exposure assessment for Portugal and the Baltic Sea with an emphasis on shadow fleets.

Marine pollution bulletin
Recent geopolitical developments influence trade flows and risk exposure of shipping. This comprehensive study based on 45.2 million estimates of the global fleet quantifies the change in pollution risk exposure in the Baltic Sea Area and Portugal wi... read more 

Biomarker discovery in Lennox-Gastaut syndrome: Advances and challenges in electrophysiological, genetic, neuroimaging, and neuroinflammatory approaches.

Epilepsy & behavior : E&B
In Lennox-Gastaut Syndrome (LGS), a severe developmental and epileptic encephalopathy, the absence of validated biomarkers limits our ability to detect disease early, predict outcomes, and guide treatment strategies. This review synthesizes advances ... read more 

Beyond the norm: Identifying rare and high-risk pedestrian crash patterns using unsupervised learning.

Accident; analysis and prevention
Pedestrian safety remains a major concern, with fatalities rising despite infrastructure and safety improvements. To make meaningful progress, efforts should focus more intensely on reducing the most dangerous and fatal cases, given the growing impor... read more 

Quantum-enhanced throughput pathways: Integrating Rodgers' TPM with quantum ethical frameworks for AI-driven cybersecurity.

Acta psychologica
This integrative conceptual review synthesizes psychological, ethical, and quantum-information perspectives to advance Quantum-Enhanced Throughput Modeling (Q-TPM) as a novel framework for ethical decision-making in AI-driven post-quantum cybersecuri... read more 

AI-driven prediction of completion time and errors in the Advanced Training in Laparoscopic Suturing (ATLAS) needle handling task: One step closer to automated surgical skill assessment.

Surgery
BACKGROUND: The Advanced Training in Laparoscopic Suturing is a proficiency-based curriculum of 6 structured tasks. In the needle handling task, participants maneuver a needle through 6 standardized holes on a circular platform. Performance (completi... read more 

A novel hypothetical protein (SAUSA300_1684) confers excellent protection against multi-drug-resistant Staphylococcus aureus infection in the murine model.

Vaccine
Staphylococcus aureus is a leading cause of nosocomial infections, including sepsis, bacteraemia, pneumonia, and endocarditis, and continues to pose a major public health challenge due to escalating multidrug resistance and the absence of an effectiv... read more 

A Study on the Effectiveness of Al-Assisted Patient Health Education Using Voice Cloning and ChatGPT: A Prospective Randomized Controlled Trial.

Journal of medical Internet research
BACKGROUND: Traditional patient education often lacks personalization and engagement, potentially limiting knowledge acquisition and treatment adherence[1]. Advances in artificial intelligence (AI), including voice cloning technology and large langua... read more