AI Medical Compendium

Guideline Adherence in the Diagnosis of PCOS Among Adolescents: Comparing Obstetricians and Gynecologists With Large Language Models.

Journal of pediatric and adolescent gynecology May 30, 2026

STUDY OBJECTIVE: Polycystic ovary syndrome in adolescence is a condition associated with long-term cardiovascular, metabolic, and psychological outcomes. The diagnosis of PCOS in adolescence poses diagnostic challenges for obstetricians and gynecolog... read more

Prediction of low birth weight using machine learning-based analysis of environmental and maternal risk factors: insights from the Korean CHildren's ENvironmental health Study (Ko-CHENS).

Environmental research May 30, 2026

Adverse birth outcomes such as low birth weight (LBW) increase the risk of metabolic disorders and hypertension later in life. Although previous studies have examined obstetric factors or environmental exposures in relation to LBW, few have assessed ... read more

An AI-Driven Pipeline for Localization, Segmentation, and Classification of Carpal Tunnel Syndrome Using Ultrasound Images of the Median Nerve.

Hand (New York, N.Y.) May 30, 2026

BACKGROUND: Carpal tunnel syndrome (CTS), the most common peripheral neuropathy, is currently diagnosed by clinical suspicion supported by tools such as the CTS-6 questionnaire and ultrasound. While these tools are widely used and clinically valuable... read more

Machine learning model to estimate momentary status of activities of daily living in people with early-stage Parkinson's disease: an experimental study in home setting.

Disability and rehabilitation. Assistive technology May 30, 2026

PURPOSE: The purpose of this study was to develop a model that estimates the momentary status of activities of daily living (ADLs) in people with Parkinson's disease (PwPD) in the early stages using data measured in real home settings of PwPD. MATERI... read more

TF-DWGNet: a directed weighted graph neural network with tensor fusion for multi-omics cancer subtype classification.

NAR genomics and bioinformatics May 30, 2026

Integration and analysis of multi-omics data provide valuable insights for improving cancer subtype classification. However, such data are inherently heterogeneous, high-dimensional, and exhibit complex intra- and inter-modality dependencies. Graph n... read more

Decoding the microbiome: artificial intelligence-targeted gut microenvironment breakthroughs in personalized cancer therapy.

Gut microbes May 29, 2026

The gut microbiome functions as a key regulator of tumorigenesis and progression, thereby modulating tumor development and treatment outcomes (including chemoresistance, immunotherapy efficacy, and adverse effects) through its influence on the immune... read more

FOSL2 drives transcriptional activation of super‑enhancer-regulated DYNC1H1 to promote hypoxia‑induced oral squamous cell carcinoma progression.

Molecular medicine reports May 29, 2026

Hypoxia is a hallmark of oral squamous cell carcinoma (OSCC) and plays a critical role in driving tumor progression. However, the mechanisms by which OSCC cells respond to hypoxic signaling to promote malignant phenotypes remain unclear. The present ... read more

Artificial Intelligence in Oncology: Clinical Applications, Challenges, and Opportunities.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting May 29, 2026

Artificial intelligence (AI) is reshaping cancer research and clinical oncology by enabling large-scale analysis of complex biomedical data. Although early AI efforts focused on single-modality tasks such as imaging interpretation or pathology classi... read more

Different pattern: a new EEG-based method for mental performance detection.

BMC medical informatics and decision making May 29, 2026

BACKGROUND: This study focuses on detecting mental performance from EEG signals. It provides both classification and explanation results. For this purpose, we developed a new feature extraction method called Different Pattern (DiffPat) within an Expl... read more

Comparison of linear and angular cephalometric measurements in CBCT using semi-automated software and artificial intelligence-generated cephalograms.

BMC oral health May 29, 2026

BACKGROUND: This study aimed to assess the reliability of cephalometric measurements using CBCTs with two semi-automated software programs (InVivoDental and Romexis) and an artificial intelligence-based platform (Diagnocat). METHODS: This cross-secti... read more

Artificial Intelligence Medical Compendium