AI Medical Compendium

Commercial AI platforms improve reproducibility but fail to meet clinical precision thresholds for intracranial aneurysm measurement: implications for serial surveillance.

BMC medical imaging Feb 7, 2026

BACKGROUND: Intracranial aneurysm affect 3-7% of the global population, with rupture causing > 80% of non-traumatic subarachnoid hemorrhage and approximately 50% mortality. Clinical management relies on precise measurement of aneurysm neck width and ... read more

Application of machine learning for the diagnosis and prognosis of sepsis-induced acute respiratory distress syndrome: a systematic review and meta-analysis.

BMC medical informatics and decision making Feb 7, 2026

Advanced deep learning techniques for classifying dental conditions using panoramic X-ray images.

BMC oral health Feb 7, 2026

OBJECTIVE: This study evaluated multiple deep learning approaches for automated classification of dental conditions in panoramic radiographs, comparing custom convolutional neural networks (CNNs), hybrid CNN-machine learning models, and fine-tuned pr... read more

Ethical concerns and strategies for implementing artificial intelligence in healthcare: a review of empirical studies.

BMC medical ethics Feb 7, 2026

Artificial intelligence (AI) is profoundly transforming the healthcare landscape, presenting unprecedented opportunities to enhance patient care and clinical outcomes. However, the rapid integration of AI technologies has raised significant ethical c... read more

AI-driven 3D virtual surgical planning in total hip arthroplasty: a machine learning approach for precision implant positioning and improved clinical outcomes.

Journal of orthopaedic surgery and research Feb 7, 2026

PURPOSE: To explore the clinical significance of the artificial intelligence (AI)-assisted three-dimensional (3D) planning system AI-HIP in total hip arthroplasty (THA) and evaluate its accuracy and efficacy in clinical practice. METHODS: Preoperativ... read more

AI-driven biomarker learning for the early diagnosis of neurodegenerative diseases: ABLEDx.

Journal of nanobiotechnology Feb 7, 2026

BACKGROUND: Tears are an easily accessible biofluid that reflects both emotional states and disease conditions. They are particularly enriched in extracellular vesicles (EVs), which carry proteins and nucleic acids relevant to neurological health. Th... read more

Explainable machine learning for depression risk prediction in adults with obesity: development of an online tool.

BMC medical informatics and decision making Feb 7, 2026

AMP-CapsNet: a multi-view feature fusion approach for antimicrobial peptide prediction using capsule networks.

Genomics & informatics Feb 7, 2026

Antimicrobial peptides (AMPs) are universally found in both intracellular and extracellular settings and have significant antibiotic-resistant bacteria are becoming a bigger problem. In medical laboratories, it has shown notable anti-bacterial effect... read more

Performance of machine learning algorithms in diffusion tensor imaging of movement disorders: an exploratory meta-analysis.

Biomedical engineering online Feb 7, 2026

BACKGROUND: Machine learning (ML) applied to diffusion tensor imaging (DTI) has emerged as a promising tool for detecting microstructural brain alterations in movement disorders. However, existing studies vary widely in design, sample size, imaging p... read more

Artificial intelligence in medical ethics education: a descriptive study of eight models in multiple choice question generation.

BMC medical education Feb 7, 2026

INTRODUCTION: Integrating artificial intelligence (AI) into medical education poses barriers and opportunities for medical educators. One of those opportunities is content creation for medical ethics assessment. Assessing the performance of AI in gen... read more

Artificial Intelligence Medical Compendium