Artificial Intelligence Medical Compendium

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

Showing 1,121 to 1,130 of 200,219 articles

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 

Examining Selection Dynamics and Limitations in Multi-round Protein Selection of High Diversity Libraries.

Protein engineering, design & selection : PEDS
Proteins and peptides underpin essential biological functions and technological applications, from targeting disease-relevant interactions to providing broad enzymatic activities. However, engineering molecules with desired properties remains difficu... read more