Artificial Intelligence Medical Compendium

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

Showing 3,111 to 3,120 of 202,937 articles

Smartphone-based Detection of Group A Streptococcal Pharyngitis in Ugandan Children: A Pilot Study.

The Pediatric infectious disease journal
Prompt diagnosis of group A streptococcal pharyngitis is essential for primary prevention of acute rheumatic fever and rheumatic heart disease, yet affordable point-of-care diagnostics remain limited in low-resource settings. We conducted a prospecti... read more 

Health behavior risk prediction in metabolic syndrome patients: development and validation of an interpretable machine learning model via multisource heterogeneous data integration.

BMC medical informatics and decision making
BACKGROUND: Metabolic syndrome (MetS) represents a major public health challenge in rural populations, particularly in resource-limited regions such as southern Xinjiang, China. Unhealthy behaviors serve as key modifiable drivers of MetS progression;... read more 

Artificial intelligence for predicting the pubertal growth spurt using cephalometric and hand-wrist radiographs: a systematic review and meta-analysis.

BMC oral health
INTRODUCTION: The optimal timing of dentofacial orthopedic and growth-modifying orthodontic interventions depends on accurate assessment of skeletal maturation, particularly the pubertal growth spurt (PGS). This systematic review and meta-analysis ev... read more 

Uncovering Local Piezoelectric Field Effect in Mechanoluminescent Materials.

Advanced materials (Deerfield Beach, Fla.)
Elastic mechanoluminescent (ML) materials have significant potential in intelligent sensing, dynamic displays, and artificial intelligence. However, concrete experimental evidence of localized piezoelectric fields has long been missing in piezoelectr... read more 

Trends in Cleft Palate Incidence in the Era of Prenatal Ultrasonography and Early Detection.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
ObjectiveTo evaluate whether temporal changes in prenatal detection and North Carolina abortion rates are associated with live-birth cleft palate (CP ± L) severity phenotypes.DesignRetrospective cohort study linking patient-level clinical data to ann... read more 

Connected-speech digital biomarkers for monitoring transcranial pulse stimulation in Alzheimer's disease: A pilot study.

Journal of Alzheimer's disease : JAD
BackgroundAlzheimer's disease (AD) lacks effective disease-modifying therapies and scalable, ecologically valid biomarkers to monitor treatment response. Transcranial pulse stimulation (TPS) is an emerging non-invasive neuromodulation technique with ... read more 

Fluorescence spectroscopy and machine learning methods for detection of Alzheimer's disease from circulating white blood cells.

Journal of Alzheimer's disease : JAD
BackgroundAlzheimer's disease (AD) is the most common cause of dementia whose prevalence is projected to increase significantly in the coming decades. The recent advent of disease modifying therapies is a welcome development; however, it is also now ... read more 

Nutritional Characteristics of Foods With Addictive Potential: A Machine-Learning Approach.

American journal of public health
Objectives. To identify nutritional characteristics associated with the perceived addictive potential of commonly consumed foods in the US food supply, the majority of which are ultraprocessed foods (UPFs). Methods. In a demographically diverse sampl... read more 

Structural, Compositional, and Dielectric State Profiling in Label-Free Single-Cell Monitoring.

Small methods
Individual cells sense and transition between functional states, and the distribution of these states over time determines drug response, disease progression, and cell manufacturing outcomes. However, repeated measurement is difficult with label-base... read more 

Body-Donor-Derived Data in Medical Artificial Intelligence: From Foundational Resources to Trustworthy Applications.

Clinical anatomy (New York, N.Y.)
In recent years, artificial intelligence in medicine has evolved from single recognition tasks toward structural understanding, spatial reasoning, and clinical interpretability. High-quality anatomical data have become a key factor in further develop... read more