AI Medical Compendium

Adaptive digital workflow for virtual patient modeling: Integrating static registration and six-degree-of-freedom jaw tracking.

Journal of dentistry Apr 1, 2026

OBJECTIVES: Conventional prosthodontic workflows often separate static articulators from functional mandibular analyses, thereby limiting individualized treatment planning. This paper proposes an adaptive digital workflow for virtual patient modeling... read more

Improving transthyretin cardiac amyloidosis detection from electrocardiograms through the Willem artificial intelligence platform.

Heart rhythm Apr 1, 2026

BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequently underdiagnosed disease in which delay in diagnosis limits the efficacy of treatments. Artificial intelligence (AI) applied to standard 12-lead electrocardiograms (ECGs) is pro... read more

AI-based segmentation of gingival display for gummy smile assessment: Model development and clinical validation.

Journal of dentistry Apr 1, 2026

OBJECTIVES: This study aimed to develop and validate an artificial intelligence (AI)-based model for quantitatively assessing gingival display during smiling using standardized extraoral photographs. The goal was to establish an objective and reprodu... read more

Exploring the role of reinforcement learning in vision-language models for cardiovascular disease decision support.

Journal of biomedical informatics Apr 1, 2026

OBJECTIVE: To explore the role of reinforcement learning (RL) in vision-language models (VLMs) for cardiovascular disease (CVD) decision support and assess whether RL-enhanced multimodal reasoning improves clinical classification performance and inte... read more

GATv2-TransDTI: A graph and sequence hybrid model for fine-grained drug-target interaction prediction.

Analytical biochemistry Apr 1, 2026

Accurately predicting drug-target interaction (DTI) is critical for drug discovery and development. Existing methods typically rely on the atomic structure or molecular graphs of drugs, along with amino acid sequences of target proteins, to extract f... read more

Automated Detection and Classification of Radiology Report Discrepancies Using NLP: A Tool for Resident Education and Quality Assurance.

Journal of the American College of Radiology : JACR Apr 1, 2026

PURPOSE: The aim of this study was to develop and evaluate a natural language processing (NLP) system that automatically detects and classifies discrepancies between preliminary and final radiology reports, with the goal of enhancing resident educati... read more

Parsimonious and explainable biomarker-based severity score for hospitalised patients with COVID-19-related respiratory infections: development, validation and XAI benchmarking.

Computers in biology and medicine Apr 1, 2026

BACKGROUND: Severity scoring systems are increasingly important tools for stratifying hospitalised patients, guiding treatment decisions, and enabling analyses that capture illness severity. However, many existing models are complex, lack transparenc... read more

A lightweight and explainable cardiac signal framework for screening-oriented cardiometabolic risk assessment.

Computers in biology and medicine Apr 1, 2026

Early identification of cardiometabolic and autonomic dysfunction using electrocardiogram (ECG) signals is essential for preventive cardiovascular screening, especially in resource-constrained settings. This paper presents a lightweight and interpret... read more

A cell comparative multiple instance learning network guided by image quality assessment for cervical whole slide image classification.

iScience Apr 1, 2026

Early screening is essential for reducing the incidence and mortality of cervical cancer, and artificial intelligence-based analysis of whole slide images (WSIs) enables large-scale automated screening. However, existing methods often ignore image qu... read more

Complex biological systems analysis and deep learning for prognostic prediction of esophageal squamous cell carcinoma.