Artificial Intelligence Medical Compendium

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

Showing 1,311 to 1,320 of 200,346 articles

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 

Reproducibility, validation, and failure modes across classical and AI-driven molecular docking.

Journal of computer-aided molecular design
Molecular docking is indispensable across computer‑aided discovery. However, its conclusions often hinge more on modeling choices than on software brand or nominal score. In this review, we argue that docking should be treated explicitly as condition... read more 

Dictionary Learning Methods for Brain Activity Mapping with MEG Data.

Brain topography
A central goal in many brain studies is the identification of those brain regions that are activated during an observation window that may correspond to a motor task, a stimulus, or simply a resting state. While functional MRI is currently the most c... read more 

Heterojunction Engineering of Electrodes and Membranes in Redox Flow Batteries.

Chemical record (New York, N.Y.)
Redox flow batteries (RFBs) have demonstrated considerable potential for application prospects in the domain of large-scale energy storage. This potential can be attributed to their notable advantages, which include the decoupling of power and capaci... read more 

Predicting Metastatic Potential from Histopathological Whole Slide Images of Primary Tumors in Head and Neck Squamous Cell Carcinoma Using Attention-Based Deep Learning and Signaling Pathway Alterations.

Head and neck pathology
BACKGROUND: Head and Neck Squamous Cell Carcinoma (HNSCC) ranks as the 6th most prevalent cancer worldwide, imposing a significant burden on global healthcare systems. The progression to metastasis poses a substantial challenge in the clinical manage... read more