AI Medical Compendium

Development and validation of a machine learning model predicting post-tonsillectomy hemorrhage.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jun 1, 2026

PURPOSE: To develop and validate machine learning models to predict post-tonsillectomy hemorrhage. METHODS: This was a machine learning analysis of a cohort of patients included in the Norwegian tonsil registry in Norway from 03.01.2017 to 01.05.2025... read more

The role of infrared thermography in thyroid nodule detection and classification: a scoping review.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jun 1, 2026

PURPOSE: To conduct a scoping review to assess the extent and type of evidence on the use of IRT as a diagnostic tool for thyroid nodule detection and classification. METHODS: This review followed the JBI Scoping Review methodology and included studi... read more

Fractal analysis in dentistry: a bibliometric analysis (1991-2024).

Oral radiology Jun 1, 2026

OBJECTIVES: This study aims to provide a comprehensive bibliometric mapping of the scientific evolution and research trends of fractal analysis (FA) in dentistry. RESULTS: The annual scientific production exhibited a dramatic surge post-2017, strongl... read more

Orbitofrontal cortex and amygdala as key regions for the classification of small animal phobia: A structural MRI machine learning study.

Cognitive, affective & behavioral neuroscience Jun 1, 2026

Small animal phobia (SAP) is an anxiety disorder characterized by an intense fear triggered by small animals. Existing studies on SAP have primarily used univariate analyses and small, unbalanced samples, leading to inconsistent findings. Many brain ... read more

Participatory Digital Twins for Chronic Care: From Predictive Models to Shared Sensemaking.

Journal of participatory medicine Jun 1, 2026

Health digital twins, computational models that integrate longitudinal data, simulation, and forecasting, are increasingly proposed as tools for chronic care management. Most current implementations, however, are expert-oriented, prioritizing technic... read more

The Validity and Reliability of Artificial Intelligence Chatbots in the Self-management of Diabetes.

Computers, informatics, nursing : CIN Jun 1, 2026

Artificial intelligence (AI) chatbots are increasingly used to support diabetes self-management, yet their validity and reliability require systematic evaluation. This study aimed to evaluate and compare the validity and reliability of chatbot-genera... read more

Consensus Pituitary Atlas, a scalable resource for annotation, novel marker discovery, and analyses in mouse pituitary gland research.

Cell reports Jun 1, 2026

Previous single-cell profiling studies of the pituitary gland have yielded minimally reproducible insights due to their low statistical power and methodological inconsistencies. To address this, we generate the uniformly pre-processed Consensus Pitui... read more

Learning-assisted locality optimisation in online suffix tree construction: Formal analysis and empirical validation.

Computational biology and chemistry Jun 1, 2026

Suffix trees underpin many string-processing applications, yet their classical O(n) construction algorithms suffer in practice from the gap between processor and memory speeds: cache misses, not arithmetic operations, dominate wall-clock time. This p... read more

Unveiling the cognitive features of L2 Chinese reading: Machine learning reveals subskill-specific and general eye-movement patterns.

Acta psychologica Jun 1, 2026

Traditional reading assessments rely heavily on offline summative outcomes, obscuring the implicit cognitive dynamics of online processing. To render these latent cognitive dynamics empirically tractable, this study employs a data-driven machine lear... read more

Artificial intelligence empowered coronary artery imaging: A review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 1, 2026

Cardiovascular disease is the leading cause of death worldwide, with coronary artery disease the most prevalent cause. Although artificial intelligence has advanced medical imaging, few reviews focus specifically on AI-powered coronary artery imaging... read more

Artificial Intelligence Medical Compendium