AI Medical Compendium

Self-Care Competence and AI-Supported Learning as Predictors of Enhanced Clinical Decision-Making Skills Among Nurses

medRxiv May 4, 2026

Clinical decision-making is a critical competency for nurses particularly in resource-constrained healthcare systems where frontline practitioners must integrate clinical knowledge judgment and contextual constraints to ensure optimal patient outcome... read more

nursing

AI-based discovery of functional boundaries in the human brain from intraoperative electrophysiology

medRxiv May 4, 2026

Neurosurgical and neuromodulation therapies such as deep brain stimulation (DBS) require millimeter-level accuracy to effectively target functional brain regions. Yet, many neuroanatomical boundaries remain invisible to current imaging and electrophy... read more

neurology

An interpretable deep learning framework for classifying neuronal morphologies using topology and graph neural networks

bioRxiv May 4, 2026

Neuronal shape determines how neurons process and integrate information, yet a consistent and objective classi cation of neuronal morphologies remains elusive. Current approaches rely heavily on subjective expert views or on prede ned features, limit... read more

neuroscience

Isocaloric liquid and solid meals induce comparable postprandial gastric motility: Implications for oral drug delivery assessed by real-time MRI.

International journal of pharmaceutics: X May 4, 2026

Postprandial gastric motility critically influences the intragastric behavior of oral dosage forms and subsequent drug absorption. Combining real-time MRI with already established MR imaging, we compared an isocaloric liquid (Fresubin Energy) and a s... read more

Harnessing AI and bioinformatics to combat methicillin-resistant staphylococcus aureus: Innovations in genomic surveillance, diagnosis, and therapeutic development.

Journal of infection and public health May 4, 2026

The global rise of antimicrobial resistance (AMR), particularly methicillin-resistant Staphylococcus aureus (MRSA), poses a major health challenge, demanding innovative strategies for surveillance, diagnosis, and therapy. Advances in artificial intel... read more

EPPCMinerBen: A novel benchmark for evaluating large language models on electronic patient-provider communication via the patient portal.

Artificial intelligence in medicine May 4, 2026

Effective communication in health care is critical for treatment outcomes and adherence. With patient-provider exchanges shifting to secure messaging, analyzing electronic patient-communication (EPPC) data is both essential and challenging. We introd... read more

A systematic review and meta-analysis of medical image-based artificial intelligence models for predicting metastasis in ovarian cancer.

European journal of obstetrics, gynecology, and reproductive biology May 4, 2026

OBJECTIVE: To conduct a systematic review and meta-analysis evaluating the diagnostic performance of medical image-based artificial intelligence (AI) models for the preoperative noninvasive prediction of metastasis in ovarian cancer (OC). METHODS: We... read more

Elucidating superoxide dismutase interactions with whey protein isolate using multi-spectroscopy, deep learning, and molecular dynamic simulations.

Food chemistry May 4, 2026

Superoxide dismutase (SOD) is an appealing additive for sports beverages owing to its antioxidant activity, while its thermal lability restricts its application in high-protein formulations. Here, we found that whey protein isolate increases the ther... read more

A Machine Learning Framework for Meat Safety Risk Assessment with Cross-Domain Data Fusion.

Journal of food protection May 4, 2026

The escalating complexity of global meat supply chains and rising consumption levels heighten public health risks, particularly in high-volume regions. To address this, we developed a novel risk assessment framework integrating multisource heterogene... read more

Deep Learning-Driven Analysis and Quantification of Histopathologic Features in a Dextran Sulfate Sodium-Induced Colitis Mouse Model.

The American journal of pathology May 4, 2026

Dextran-based colitis models have been used extensively to study the pathophysiology of inflammatory bowel disease, including ulcerative colitis and Crohn disease. Histologic studies of animal colon sections require an unbiased scoring to yield meani... read more

Artificial Intelligence Medical Compendium