Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 217,905 articles

Multicenter Validation of an AI-Based CTA Tool for Anterior Circulation Large Vessel Occlusion Detection.

AJNR. American journal of neuroradiology
BACKGROUND: Rapid identification of anterior circulation large vessel occlusions (LVOs) is critical for timely mechanical thrombectomy in acute ischemic stroke. Computed tomography angiography (CTA) interpretation can be challenging, particularly in ... read more 

Influenza-Like Illness Forecasting Using Multisource Data: Comparative Deep Learning Study.

JMIR medical informatics
BACKGROUND: Accurate forecasting of influenza-like illness (ILI) is crucial for public health. Integrating novel digital data streams (eg, internet searches and human mobility) with traditional surveillance can improve accuracy, but optimal modeling ... read more 

The Pediatric Pulmonary Hypertension International Risk Score: A Prediction Model for Outcomes Using Machine Learning.

Circulation
BACKGROUND: Risk prediction is fundamental to pulmonary hypertension (PH) guideline-based care, yet pediatric-specific risk prediction models remain limited, relying primarily on single predictors, expert opinion, or application of adult models to ch... read more 

[Advances in electroencephalographic biomarkers of cognitive dysfunction in obstructive sleep apnea].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Obstructive sleep apnea (OSA) is a common sleep disorder frequently accompanied by cognitive impairment. The electroencephalographic signals, with its high temporal resolution and non-invasive nature, can sensitively capture abnormalities in sleep ar... read more 

Artificial intelligence, surgical vision, and digital navigation in robotic urology: a bibliometric and knowledge-mapping analysis.

Journal of robotic surgery
Digital technologies are increasingly used to extend the anatomical, functional, and procedural information available in robot-assisted urology, but their development has not been examined within a common field-level framework. The final corpus compr... read more 

An integrated methodological roadmap for real-world biomarker studies: advancing oncology precision medicine through robust methodologies and machine learning integration.

Journal of biopharmaceutical statistics
The selection of biomarker-specific patient populations is essential in targeted cancer therapies to enhance precision and efficacy. To ensure a successful launch, it is vital to promote awareness and adoption of biomarker testing at diagnosis, tailo... read more 

Machine Learning-Assisted Prediction of Varicocele Grade Using Multidimensional Spermatic Vein Reflux Time Analysis.

Andrology
BACKGROUND: Varicocele (VC) grading has long relied on qualitative assessments of venous diameter and reflux signals, lacking standardization. OBJECTIVES: This study aimed to explore the value of spermatic vein reflux time (SVRT) as a quantitative in... read more 

Manual and automated capture of analgesic-responsive facial pain behaviors of unrestrained mice in a trigeminal neuralgia model.

Pain
Trigeminal neuralgia (TN), a devastating neuropathic pain condition, profoundly affects human well-being. Despite an initial response to carbamazepine (CBZ), many patients become refractory to pharmacotherapy and subsequent invasive procedures. Altho... read more 

Self-Consistent Biased Fine-Tuning for Highly Accurate Reaction-Specific Machine-Learning Interatomic Potentials.

Journal of chemical theory and computation
An algorithm for the black-box generation of high-quality system-specific machine-learning interatomic potentials (MLIPs) for gas-phase reactions in the electronic ground state is presented. It relies on the self-consistent fine-tuning of an MLIP fou... read more