Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 61,931 to 61,940 of 230,319 articles

Multi-modal feature alignment networks for multi-label image classification.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2026
Multi-label image classification is a classification task that assigns labels to multiple objects in an input image. Recent research ideas mainly focus on solving the semantic consistency of visual features and label features. However, since images c... read more 

Natural sources and bioactive mechanisms of anti-inflammatory peptides: from digestive metabolism to bioavailability enhancement strategies.

Food chemistry Jan 20, 2026
Anti-inflammatory peptides (AIPs), a class of biologically active molecules with high specificity and low toxicity, demonstrate outstanding potential in replacing traditional anti-inflammatory drugs. In this review, the multiple natural sources of AI... read more 

[Enhancement of radiomics-based machine learning models for predicting efficacy of high-intensity focused ultrasound ablation of uterine fibroids using undersampling methods].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 20, 2026
OBJECTIVES: To improve the accuracy of machine learning models for preoperative prediction of high-intensity focused ultrasound (HIFU) ablation efficacy for uterine fibroids by correcting class imbalance in small sample datasets using undersampling m... read more 
Humans Machine Learning Algorithms Female Radiomics Treatment Outcome Magnetic Resonance Imaging Uterine Neoplasms Leiomyoma High-Intensity Focused Ultrasound Ablation

[Evaluation of an interpretable 12-lead ECG automatic diagnosis model based on deep feature fusion].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 20, 2026
OBJECTIVES: To enhance the accuracy and reliability of 12-lead electrocardiogram (ECG) automatic diagnosis. METHODS: Herein we propose a 12-lead ECG automatic diagnosis model based on deep feature fusion (MRHL-ECGNet), which consists of a multi-scale... read more 
Humans Neural Networks, Computer Algorithms Reproducibility of Results Deep Learning Electrocardiography Signal Processing, Computer-Assisted

[Diffusion cycle-consistent generative adversarial networks for pelvic active bone marrow segmentation].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 20, 2026
OBJECTIVES: To establish a pelvic active bone marrow (ABM) segmentation method based on diffusion cycle-consistent generative adversarial networks for improving individualized precision of conventional anatomical atlas-based methods. METHODS: We coll... read more 
Humans Neural Networks, Computer Image Processing, Computer-Assisted Positron Emission Tomography Computed Tomography Pelvis Bone Marrow Signal-To-Noise Ratio Generative Adversarial Networks

[Research progress of large language models in tumor diagnosis: applications in textual reports and medical imaging].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 20, 2026
Large language models (LLMs) are emerging artificial intelligence technologies with strong text and image processing capabilities, offering critical support for the intelligent transformation of healthcare and improving clinical efficiency and qualit... read more 
Humans Artificial Intelligence Language Neoplasms Image Processing, Computer-Assisted Natural Language Processing Diagnostic Imaging Large Language Models

Artificial Intelligence Competencies and Educational Needs Among ERNICA Members: Results of a Multinational Survey.

European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie Jan 20, 2026
INTRODUCTION: Artificial Intelligence (AI) is increasingly recognized as a transformative force in healthcare. In the field of rare diseases, AI can enhance diagnostic accuracy and facilitate knowledge-sharing across borders. To effectively contribut... read more 

One-Step Design of Potent and Nonhemolytic Antimicrobial Peptides by Using a Database-Guided, Nonmachine Learning Approach.

ACS infectious diseases Jan 20, 2026
The search for antibiotics is urgent because of the global antibiotic resistance problem. While a variety of strategies are actively sought, interest in antimicrobial peptides persists due to high potency and low chance of resistance development. The... read more 

Retinal Coronary Artery Calcium Scoring - A Scalable Tool for Life Insurers.

Journal of insurance medicine (New York, N.Y.) Jan 20, 2026
BACKGROUND.—: Cardiovascular risk estimation for life insurance underwriting relies on risk estimation from conventional metrics: age, sex, smoking status, body mass index, systolic and diastolic blood pressure, total and high-density lipoprotein cho... read more 

Bridging Global Disparities in Drug Allergy Through AI-Assisted Training for Non-Specialists: Findings From the Multinational ADAPT-2 Course.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology Jan 20, 2026
BACKGROUND: Mislabelled drug allergy (DA) remains a global public health challenge. A prior randomised trial (ADAPT) demonstrated that an intensive educational course improved DA knowledge and confidence among non-specialists. However, ADAPT was rest... read more 
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