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

Exploring the Relationship Between Emotion and Bodily Activity With Machine Learning.

Psychophysiology Jun 1, 2026

Human experiences of bodily activity relate to their emotional state; however, exactly how is yet to be fully explored. We aim to conceptually model this relationship between bodily activity and subjective emotional experience using machine learning ... read more

MALICoT: A pilot cross-sectional study analyzing the effects of power training and age on endomysium content and fiber area in the soleus muscle of adult males.

Physiological reports Jun 1, 2026

The cross-sectional Master Athletic Laboratory Study of Intramuscular Connective Tissue (MALICoT, DRKS00015764) examined effects of athletic exercise and age on endomysium content in human soleus muscle. Forty-three clinically healthy male participan... read more

Numerical Inverse Design of Patient-Specific Dental Implants: Accelerating FEA-Based Optimization via Evolutionary Neural Surrogates.

International journal for numerical methods in biomedical engineering Jun 1, 2026

Mechanical complications in dental implantology often arise from a mismatch between standardized geometries and patient-specific anatomical constraints. While high-fidelity finite element analysis (FEA) is the gold standard for identifying these risk... read more

Artificial Intelligence Medical Compendium