AI Medical Compendium

Trueness of artificial intelligence-driven CBCT tooth segmentation: A comparative validation ex vivo pilot study.

Journal of dentistry Mar 6, 2026

OBJECTIVES: To evaluate and compare the trueness of four commercial AI-driven segmentation tools (Diagnocat, Relu, CephX, CoDiagnostiX) and one open-source software (3D Slicer with DentalSegmentator) for dental cone-beam computed tomography (CBCT) se... read more

Microscopic detection of nematodes in entomopathogenic nematode-enriched samples using a lightweight deep learning model.

Journal of invertebrate pathology Mar 6, 2026

Automated detection of entomopathogenic nematodes (EPNs) is increasingly important in biological control research, where manual microscopic counting remains labour-intensive and prone to variability. Building upon existing computer vision approaches ... read more

Role of the gut microbiome in shaping drug response in immunocompromised hosts.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Mar 6, 2026

BACKGROUND: There is an increasing amount of evidence on microbiome-drug interactions in several clinical settings, including in immunocompromised patients. The gut microbiome has been shown to directly and indirectly influence drug efficacy and toxi... read more

Cross-validation strategies under data dependency: An example with anemia prediction in sheep using ocular conjunctiva images.

Preventive veterinary medicine Mar 6, 2026

Computer vision techniques have been increasingly used in livestock farming for tasks such as animal identification and health monitoring, but their predictive performance depends on appropriate validation. Validation is critical not only for new ani... read more

Machine learning prediction model for delirium after heart valve replacement with cardiopulmonary bypass: A large-scale cohort study.

Asian journal of psychiatry Mar 6, 2026

OBJECTIVE: Postoperative delirium (POD) is a common and severe complication following heart valve replacement (HVR) with cardiopulmonary bypass (CPB), associated with poor outcomes. Accurate early prediction is crucial for targeted prevention. This s... read more

The application of machine learning-assisted serum SERS technology in the early screening and prognosis evaluation of osteoporosis.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 6, 2026

Early detection, early intervention, early treatment, and timely prognostic monitoring of osteoporosis are crucial for improving patients' quality of life and lifespan. Currently, the diagnostic methods for osteoporosis are expensive, poorly accessib... read more

A hydrogel-based triboelectric noncontact-ionic pressure dual-function sensing system for measuring mandibular movement trajectory and bite force.

Journal of colloid and interface science Mar 6, 2026

This study proposes a flexible sensing system for simultaneously measuring mandibular movement trajectories and bite force during mastication. The system employs a dual-mode sensing mechanism: the triboelectric module realizes non-contact detection o... read more

Unshaven Follicular Unit Excision: Critical Analysis of Current Nomenclature and Proposal for Standardized Terminology.

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] Mar 6, 2026

BACKGROUND: As unshaven hair transplantation grows in popularity, terminology has become inconsistent across publications and advertising. This creates confusion for patients and clinicians and undermines informed consent. OBJECTIVE: To map usage, id... read more

Transparent reporting is central to reproducible radiological AI research: A call to action.

European journal of radiology Mar 6, 2026

BACKGROUND: Artificial intelligence (AI) is increasingly embedded in radiology research and practice, yet concerns about the reproducibility of AI studies remain a key barrier to regulatory acceptance and clinical translation. Transparent reporting a... read more

A content-aware variable-rate framework for pathology learned image compression (PathoLIC).

Medical image analysis Mar 6, 2026

The substantial size of gigapixel whole slide images (WSIs) presents significant challenges in terms of data storage, transfer, and computational analysis. Existing image compression methods yield suboptimal compression ratios because they (1) overlo... read more

Artificial Intelligence Medical Compendium