AI Medical Compendium

Prediction of cancer-associated thrombosis by machine learning: results from the Vienna Cancer and Thrombosis Study.

ESMO open May 27, 2026

BACKGROUND: Improved risk prediction of cancer-associated venous thromboembolism (VTE) remains an unmet clinical need. We aimed to apply machine learning for the prediction of cancer-associated VTE. PATIENTS AND METHODS: Data from the Vienna Cancer a... read more

Artificial intelligence in retrospective observational studies in internal medicine: Methodological gaps and opportunities for improvement.

Medicina clinica May 27, 2026

Labelling in cryogenic electron tomography - Bridging the gap between correlative light and electron microscopy and protein identification.

Current opinion in structural biology May 27, 2026

Cryogenic electron tomography (cryoET) offers unparalleled views into the molecular architecture of cells. As no stains or fixation are used, electrons scatter off the native atoms, and all molecules contribute to the final tomogram. As a result, it ... read more

Multimodal Deep Learning for Benign vs Malignant Eyelid Lesion Classification Using Optical Coherence Tomography and Clinical Images.

Ophthalmic plastic and reconstructive surgery May 27, 2026

PURPOSE: To evaluate the performance of deep learning models using optical coherence tomography (OCT) volumes, clinical photographs, and their multimodal fusion to classify eyelid lesions as benign or malignant, using histopathology as the reference ... read more

Gut microbiome composition and functional potential associate with incident type 2 diabetes in 4,685 adults from a Swedish prospective cohort.

Cell reports. Medicine May 27, 2026

Cross-sectional studies link gut microbiome alterations to type 2 diabetes (T2D), but prospective evidence remains limited. We aim to identify taxonomic and functional features associated with future T2D risk. We analyze shotgun metagenomic data from... read more

Low Power HfOx/TaOx stacked memristors with nanocolumn electrode for neuromorphic computing.

Nanotechnology May 27, 2026

Emulating biological synaptic behavior using the Resistive Random Access Memory (RRAM) is promising for neuromorphic applications. A stacked HfOx/TaOx RRAM model with nanocolumn electrode for low-power neuromorphic computing was constructed, and the ... read more

Deep Learning-Enhanced X-Space Reconstruction for Magnetic Particle Imaging: A Physics-Consistent Approach.

Biomedical physics & engineering express May 27, 2026

Magnetic Particle Imaging (MPI) is an emerging tracer-based imaging modality with high sensitivity and excellent temporal resolution; however, X-space reconstruction suffers from inherent point spread function (PSF) blur that limits spatial resolutio... read more

Advances in ophthalmic artificial intelligence.

Lancet (London, England) May 27, 2026

Interpretive Diagnostic Error Reduction: Guideline Update from the College of American Pathologists in Collaboration With the Association of Directors of Anatomic and Subspecialty Pathology.

Archives of pathology & laboratory medicine May 27, 2026

CONTEXT.—: In 2016, the College of American Pathologists published an evidence-based guideline to develop recommendations for interpretive diagnostic error reduction in anatomic pathology. New evidence, together with evolving practice environments an... read more

The evolution of scientific knowledge in childhood asthma over time.

European respiratory review : an official journal of the European Respiratory Society May 27, 2026

Paediatric asthma management has undergone a significant transformation from rudimentary assessments in the early 20th century to sophisticated diagnostic and therapeutic approaches today. Early clinical observations lacked paediatric specificity, bu... read more

Artificial Intelligence Medical Compendium