Artificial Intelligence Medical Compendium

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

Showing 67,941 to 67,950 of 233,231 articles

Discrimination of normal from slow-aging mice by plasma metabolomic and proteomic features.

GeroScience
Tests that can predict whether a drug is likely to extend mouse lifespan could speed up the search for anti-aging drugs. We have applied a machine learning algorithm, XGBoost regression, to seek sets of plasma metabolites (n = 12,000) and peptides (n... read more 

Domain-general object recognition predicts human ability to tell real from AI-generated faces.

Journal of experimental psychology. General
Faces created by artificial intelligence (AI) are now considered indistinguishable from real faces. Still, humans vary in their ability to detect these faces-a skill so novel it would have been useless a few years ago. We show that some individuals a... read more 

Barcode-Based SlipChip for High-Multiplexed and Trace Sample Digital Quantification with Femtomolar Sensitivity.

ACS sensors
The development of the digital enzyme-linked immunosorbent assay (ELISA) has improved the detection of low-abundance protein biomarkers in biological samples, achieving a 1000-fold increase in sensitivity compared to conventional protein detection me... read more 

MATCH: client-therapist matching with machine learning.

Psychotherapy research : journal of the Society for Psychotherapy Research
OBJECTIVE: Therapist assignment can have a profound impact on the success of counseling. Accordingly, we present a framework that combines archival data and computer science algorithms to match clients to therapists so that client outcomes are, on av... read more 

Development and validation of a deep learning-based automatic segmentation and classification of cerebral white matter hyperintensities.

European radiology
OBJECTIVES: White matter hyperintensities (WMH) represent neuroimaging markers of cerebral small vessel disease. We aimed to develop and validate a deep learning-based simultaneous, automatic WMH segmentation and classification model in patients with... read more 

A Scoping Review of Male Fertility Assessment and Treatment Across Historical and Contemporary Paradigms.

Andrology
BACKGROUND: Male factor infertility accounts for up to 50% of couples' inability to conceive. Despite this significant burden, perspectives on male fertility have evolved over millennia, shaped by cultural, medical, and scientific frameworks. Tracing... read more 

Evaluation of a Semi-Supervised AI Model (ASUS Blade) for Peripheral Blood Film Leukocyte Classification.

International journal of laboratory hematology
BACKGROUND: The peripheral blood film (PBF) analysis traditionally relies on manual microscopy (MM), a labour-intensive method with inter-observer variability. This study evaluates Blade (a semi-supervised AI model) and CellaVision DM9600 (commercial... read more 

Biparametric MRI-Based Habitat Analysis Integrated With Deep Learning for Predicting Clinically Significant Prostate Cancer in PI-RADS Category 3 Lesions.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Detection of clinically significant prostate cancer (csPCa) within PI-RADS category 3 lesions remains a major diagnostic challenge. PURPOSE: To develop and validate a biparametric MRI (bpMRI)-based habitat analysis model integrating deep ... read more 

Sociodemographic Predictors of Child-Parent Agreement on Oral Health.

Community dentistry and oral epidemiology
BACKGROUND: Oral health is vital for children's overall well-being. Parents play a critical role in shaping children's oral health through preventive care behaviors and treatment adherence. Although prior studies have focused on parents as reliable p... read more