AI Medical Compendium

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

BMC oral health Jun 3, 2026

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.) Jun 3, 2026

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 Jun 3, 2026

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 Jun 3, 2026

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 Jun 3, 2026

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 Jun 3, 2026

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 Jun 3, 2026

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.) Jun 3, 2026

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

A Values-Based Framework for Ethical AI Integration in Dental Education-Explore, Embrace, Evolve, and Enhance.

Journal of dental education Jun 3, 2026

Epigenetic reprogramming of tissue-resident memory T cells in chronic inflammatory disorders and implications for targeted therapies.

Epigenomics Jun 3, 2026

BACKGROUND: Tissue-resident memory T (TRM) cells play a role in causing long-term tissue injury in chronic inflammatory diseases via pathological epigenetic reprogramming. Nevertheless, the epigenetic processes that cause this malfunction have not be... read more

Artificial Intelligence Medical Compendium