AI Medical Compendium

Deep learning-based Wilms tumor segmentation to create 3D models for surgical planning: Implementation in the clinical workflow.

Journal of pediatric surgery Apr 25, 2026

BACKGROUND AND AIM: Creating 3D models based on pre-operative MRI of patients with a Wilms tumor (WT) can aid surgical planning. However, creating these models requires manual delineation (segmentation) of the MRI imaging. Deep learning can automate ... read more

Feasibility of a hybrid SSVEP-motor imagery BCI with robotic feedback for upper limb motor rehabilitation in stroke patients.

Journal of neuroscience methods Apr 25, 2026

BACKGROUND: Stroke remains a leading cause of long-term disability, necessitating innovative neurorehabilitation strategies to address persistent motor deficits. Traditional therapies often exhibit limited efficacy due to therapeutic plateau, highlig... read more

Evaluation of large language models for carbohydrate counting in type 1 diabetes mellitus: a comparative study with patient estimations.

Diabetes research and clinical practice Apr 25, 2026

AIMS: To evaluate large language models (LLMs) accuracy in carbohydrate (CHO) counting (CC) and compare their performance with estimations by patients with type-1 diabetes mellitus (T1DM). METHODS: This cross-sectional study included 14 adults with T... read more

Are LLM-generated plain language summaries truly understandable? A large-scale crowdsourced evaluation.

Journal of biomedical informatics Apr 25, 2026

Plain language summaries (PLSs) are essential for facilitating effective communication between clinicians and patients by making complex medical information easier for laypeople to understand and act upon. Large language models (LLMs) have recently s... read more

Developing risk-decision rules for aeration in wastewater treatment plants using copula-enhanced machine learning with feature smoothing.

Bioresource technology Apr 25, 2026

Operational instability in biological wastewater treatment systems can lead to inefficient aeration and elevated energy consumption. Accurate prediction of key process variables, including ammonia nitrogen, dissolved oxygen (DO), and mixed liquor sus... read more

Ai-enhanced clinical decision support reduces medication errors and adverse drug events in a multicenter teaching hospital network: A prospective randomized controlled trial.

International journal of medical informatics Apr 25, 2026

BACKGROUND: Medication errors remain a leading source of preventable harm in hospitalized patients, contributing to adverse drug events (ADEs), prolonged hospital stay, and avoidable healthcare costs. Although clinical decision support systems (CDSS)... read more

Optimizing temporal windows for wearable-augmented post-discharge risk prediction: a methods study.

Journal of the American Medical Informatics Association : JAMIA Apr 25, 2026

OBJECTIVE: Traditional readmission risk models relying on static discharge data have limited predictive performance and fail to capture patients' recovery trajectories after hospitalization. We sought to identify optimal modeling parameters for dynam... read more

Artificial intelligence toolkit for scholarly writing.

Academic medicine : journal of the Association of American Medical Colleges Apr 25, 2026

From idea generation to publication, artificial intelligence (AI)-enhanced tools are transforming how scholars write, revise, and publish. This Last Page serves as a guide map to the academic writing process and identifies AI-enhanced scholarly tools... read more

A macrophage co-expression signature enables robust prognostic prediction in glioblastoma.

Translational oncology Apr 25, 2026

BACKGROUND: Glioblastoma (GBM) exhibits profound cellular heterogeneity and a highly immunosuppressive microenvironment in which tumor-associated macrophages represent a dominant immune component. However, how macrophage state-specific transcriptiona... read more

Predicting DNA replication-related protein expression at the nucleus level from HE: A deep learning study with same-specimen paired data.

Acta histochemica Apr 25, 2026

BACKGROUND: The inference of molecular information from hematoxylin-eosin (HE) specimens may reduce the ancillary testing burden in digital pathology. OBJECTIVE: To assess whether deep convolutional networks predict, at the per-nucleuslevel, continuo... read more

Artificial Intelligence Medical Compendium