AI Medical Compendium

AI-augmented discovery of autophagy regulators through mechanistic interpretation of multiomics data.

Autophagy Aug 21, 2026

Yu Xue: [email protected] Large-scale multiomics profiling has delineated dynamic molecular landscapes during autophagy, yet translating these complex datasets into mechanistic regulatory insights remains a major challenge. In our recent work, we dev... read more

AI and neuroimaging in autism spectrum disorder: advances in diagnosis, methodological challenges and future directions.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Aug 21, 2026

BACKGROUND: Autism Spectrum Disorder (ASD) is characterized by challenges in social interaction, communication, and restricted or repetitive behaviors, with motor abnormalities increasingly recognized as potential indicators for early identification.... read more

An interpretable multi-instance learning method for accurate differentiation of malignant and benign laryngeal lesions in laryngoscopy.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Aug 20, 2026

BACKGROUND: Laryngeal cancer is a significant global health issue with high mortality, and early diagnosis is critical for survival. Developing accurate diagnostic models for laryngoscopy can reduce potential repeated biopsies and lessen the patient ... read more

Comparative perception of smiles designed by AI vs. dentist using standard esthetic rules: a visual preference study among laypeople and dental professionals.

Odontology Aug 21, 2026

Artificial intelligence (AI) has rapidly emerged as a transformative tool in digital smile design, offering automated and data-driven esthetic solutions. However, the comparative perception of AI-generated smiles and those designed by dental professi... read more

Radiological assessment of pulmonary vascularity in congenital heart disease: standardized clinician assessment versus deep learning-based prediction.

Journal of cardiovascular imaging Aug 21, 2026

BACKGROUND: Assessment of pulmonary vascularity on chest radiographs (CXRs) in congenital heart disease (CHD) is limited by subjectivity, and existing criteria lack sufficient validation. Artificial intelligence-based deep learning model (DLM) analys... read more

Topological contribution to the split first peak of the liquid water structure factor using the MACE machine-learning potential.

The Journal of chemical physics Aug 21, 2026

The splitting of the principal peak in the structure factor of liquid water is commonly interpreted as evidence of a competition between two distinct local environments. Here, we show that this peak splitting is captured by medium-range topological f... read more

STELT: A spatiotemporal deep learning framework for diffusion-ordered NMR spectroscopy reconstruction with artifact suppression.

The Journal of chemical physics Aug 21, 2026

Diffusion Ordered NMR Spectroscopy (DOSY) is a powerful technique for studying mixtures by probing the diffusion behavior of mixed compounds and enabling their identification and separation in mixture samples. The performance of DOSY generally relies... read more

Long-term microbiome and clinical effects of a microbiome-guided personalized diet versus low-FODMAP diet in irritable bowel syndrome: A 12-month follow-up randomized controlled trial.

Gut microbes Aug 20, 2026

Dietary therapy is central to irritable bowel syndrome (IBS) management, yet the long-term durability of the low-FODMAP diet (LFD), and of microbiome-guided personalization, remains unclear. We assessed the long-term clinical and gut-microbiome effec... read more

3D interactive radiology reports: referring physicians' acceptance of artificial intelligence varies across practice settings.

Neurological research Aug 20, 2026

INTRODUCTION: A 3D interactive report is a state-of-the-art artificial intelligence (AI) tool that integrates a patient's imaging history into an intuitive visualisation. Yet, despite the many potential benefits to patients, referring physicians, and... read more

Artificial intelligence in pituitary medicine: what should an endocrinologist know?

Pituitary Aug 20, 2026

Pituitary disorders often include complex radiology imaging, rare clinical presentations, and need for multidisciplinary decision-making and prolonged follow-up, all features that make them a natural target for artificial intelligence (AI). The resul... read more

Artificial Intelligence Medical Compendium