AI Medical Compendium

Association between aspirin use and mortality in critically ill patients with heart failure: a retrospective study using the MIMIC-IV database.

Heart & lung : the journal of critical care Apr 11, 2026

BACKGROUND: Despite the established antithrombotic benefits of aspirin in cardiovascular disease, its efficacy remains controversial for critically ill patients with heart failure (HF) admitted to the intensive care unit (ICU). OBJECTIVES: To determi... read more

Artificial intelligence and nursing science: Opportunities, challenges, implications, and guidelines.

Nursing outlook Apr 11, 2026

BACKGROUND: In the era of artificial intelligence (AI), nursing science has the potential to enable transformative change in healthcare driven by the nursing clinical focus, its deep commitment to improving patient and family outcomes, its legacy of ... read more

Analysis of spatial heterogeneity and influencing factors of carbon emission efficiency at the provincial level in China based on machine learning.

Journal of environmental management Apr 11, 2026

Under increasing pressure from global climate change, improving carbon emission efficiency (CEE) has become an important pathway for promoting green and low-carbon transformation. Using panel data for 30 Chinese provinces from 2006 to 2022, this stud... read more

Comparative evaluation of large language models for patient education after total knee arthroplasty.

The Knee Apr 11, 2026

BACKGROUND: Artificial intelligence (AI) tools are increasingly used to support healthcare communication. Total knee arthroplasty (TKA) is a common orthopedic procedure, and many patients seek perioperative information online; however, the accuracy, ... read more

Prediction of unplanned readmission in older adults during hospital stay: a data-driven approach to support care transition.

Geriatric nursing (New York, N.Y.) Apr 11, 2026

PURPOSE/AIMS: Accurately predicting 30-day unplanned readmission in older adults is critical for improving care transitions and reducing preventable hospitalizations. Most existing models rely only on data available at discharge, limiting early inter... read more

Content analysis of output from generative artificial intelligence chatbots when prompted about breast cancer and alcohol consumption.

Public health Apr 11, 2026

OBJECTIVES: Alcohol is a group one carcinogen and contributes to breast cancer risk for women. Awareness of this relationship remains low. Generative artificial intelligence (GenAI) chatbots are an increasingly used source of health information. It i... read more

TearNET: Validation of a convolutional neural network for grading of tear ferning patterns using deep learning.

Contact lens & anterior eye : the journal of the British Contact Lens Association Apr 11, 2026

PURPOSE: Tear-ferning patterns are microscopic crystallization formed when the solvent in the tears evaporates, and the solutes congregate to form a fern-like crystal structure. The ferning patterns are affected by the biomolecular properties of the ... read more

Generative deep learning-driven de novo design of targeted MAP4K6 inhibitors.

Computers in biology and medicine Apr 11, 2026

The discovery of selective small-molecule inhibitors for pharmacologically underexplored kinases remains a critical barrier to precision drug development, particularly under data-sparse conditions, where ligand annotations are scarce. Here, we presen... read more

DPA-Net: A dual-path attention neural network for estimating glycemic metrics from self-monitored blood glucose data.

Computers in biology and medicine Apr 11, 2026

Continuous glucose monitoring (CGM) provides dense and dynamic glucose profiles that enable reliable estimation of glycemic metrics, such as time-above-range (TAR), time-in-range (TIR), and time-below-range (TBR). However, the cost and limited access... read more

SCTGE infers transformer-based graph embeddings to improve cell-cell interaction identification and cell identity annotations.

Computational biology and chemistry Apr 11, 2026

Single-cell transcriptomic data analysis faces challenges in deciphering spatial embeddings due to high dimensionality, noise, and limitations in existing computational frameworks. Existing studies highlight the transformative potential of graph-base... read more

Artificial Intelligence Medical Compendium