AI Medical Compendium

Unveiling the causal pathway of Parkinson's disease dysphonia: A voice causal generative model (VCGM) approach.

Computer methods and programs in biomedicine Apr 27, 2026

BACKGROUND: Although artificial intelligence (AI) models have demonstrated high accuracy in diagnosing Parkinson's disease (PD) from speech signals, their "black-box" nature prevents mechanistic understanding of vocal impairment, limiting clinical tr... read more

Taste-active peptides, end-to-end: from generation and sensory validation to AI-driven discovery.

Food chemistry Apr 27, 2026

Taste-active peptides (TAPs) are food-protein-derived peptides that elicit or modulate gustatory sensations; presently gaining interest as natural umami-enhancing, bitterness-modifying, kokumi, and saltiness-aiding molecules. This review provides a s... read more

Multicenter evaluation of three-shot SAM2 segmentation for group-level quantification of lumbar paraspinal muscles at the L4/L5 level on multi-sequence MRI.

European journal of radiology Apr 27, 2026

PURPOSE: To evaluate a data-efficient segmentation approach for quantifying lumbar paraspinal muscle (LPM) at the single-slice L4/L5 level across multi-sequence MRI, minimizing annotation burden while achieving reliable group-level quantification. MA... read more

Understanding AI risks from its characteristics and NMPA regulation perspectives.

Insights into imaging Apr 27, 2026

AI is reshaping medical research and healthcare delivery, yet the translation of AI innovations into clinically approved medical devices remains limited. This article explores the critical role of regulatory frameworks in bridging this translational ... read more

Radiomics-based artificial intelligence models in brain tumors: A systematic review and meta-analysis of diagnostic performance.

Neuroradiology Apr 27, 2026

Deep Learning Reconstruction Versus Hybrid Iterative Reconstruction for Acute Cerebral Infarction Detection on 135 kVp Non-Contrast Brain CT.

Clinical neuroradiology Apr 27, 2026

PURPOSE: Deep learning reconstruction (DLR) is useful to reduce image noise and improve contrast resolution compared with hybrid iterative reconstruction (Hybrid IR). This study compared image quality and infarct detection between DLR and Hybrid IR u... read more

The digital keystone: how artificial intelligence is reshaping HLA research and clinical practice.

Immunogenetics Apr 27, 2026

Performance of large language models on the Japanese cardiovascular surgery board examination: a comparative analysis of eight contemporary AI models with educational implications.

General thoracic and cardiovascular surgery Apr 27, 2026

OBJECTIVE: Large language models (LLMs) have shown strong performance on medical licensing and specialty examinations, but their utility in cardiovascular surgery certification and education remains unknown. METHODS: We evaluated eight LLMs (GPT-5, G... read more

Toward real-time autonomous navigation: transformer-based catheter tip tracking in fluoroscopy.

International journal of computer assisted radiology and surgery Apr 27, 2026

PURPOSE: Mechanical thrombectomy (MT) improves stroke outcomes, but is limited by a lack of local treatment access. Widespread distribution of reinforcement learning (RL)-based robotic systems can be used to alleviate this challenge through autonomou... read more

Identification of key genes as diagnostic biomarkers for lung adenocarcinoma using bioinformatics and machine learning.

Discover oncology Apr 27, 2026

Artificial Intelligence Medical Compendium