Artificial Intelligence Medical Compendium

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

Showing 6,571 to 6,580 of 205,745 articles

Expert Validation of an Artificial Intelligence-Enabled Trial Matching Solution Using Real-World Data From Patients With Cancer.

JCO oncology practice
PURPOSE: To validate the performance of an AI system (TRIAGE) for cancer trial eligibility screening using real-world longitudinal electronic health records (EHRs), full versioned trial protocols, and expert clinical research coordinator (CRC) adjudi... read more 

Artificial intelligence-assisted urine cytology based on the Paris System for Reporting Urothelial Carcinoma.

Cancer cytopathology
BACKGROUND: Urine cytology is a noninvasive and valuable tool for detecting urothelial carcinoma but suffers from variable sensitivity and observer dependency. Artificial intelligence (AI) may enhance the diagnostic accuracy and efficiency of urine c... read more 

Estimating mechanical impedance from hydrophone measurements.

The Journal of the Acoustical Society of America
Integrating machine learning or deep learning models into autonomous underwater vehicles often requires extra steps with an accuracy trade-off, and the scarcity of training datasets makes it inconvenient. This work introduces a reduced-order identifi... read more 

Point-of-Care Artificial Intelligence Measure of Seizure Burden Associates With Clinical Outcome at Discharge.

Critical care medicine
OBJECTIVES: Point-of-care (POC) electroencephalography (EEG) enabled with artificial intelligence (AI) algorithms hold the potential to address gaps in EEG access and interpretation. We assessed the clinical association of the patterns recognized by ... read more 

In-Depth Plasma Proteomics Identifies SNCA as a Discriminating Biomarker of PDAC.

Journal of proteome research
Pancreatic ductal adenocarcinoma (PDAC) carries a poor prognosis largely due to lack of efficient diagnostic means. We applied mass spectrometry-based high-coverage plasma proteome analysis accompanying with machine learning to develop a 5-protein di... read more 

Electronic health record and artificial intelligence: frontiers and challenges.

Journal of the American Dental Association (1939)
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The role of machine learning, deep learning, and MRI findings in the classification of pediatric posterior fossa tumors.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
PURPOSE: Pediatric posterior fossa tumors represent a major subset of childhood central nervous system neoplasms; however, overlapping MRI features often hinder accurate non-invasive characterization. This study aimed to evaluate machine learning (ML... read more