AI Medical Compendium

Construction and verification of multimodal model for prognosis in elderly patients with aneurysmal subarachnoid hemorrhage.

BMC neurology May 8, 2026

OBJECTIVE: This study aimed to construct and validate an individualized prediction model for poor prognosis in elderly patients with Aneurysmal subarachnoid hemorrhage (aSAH) based on multimodal indicators such as clinical, imaging, and laboratory da... read more

Forecasting hospital bed occupancy: a time series approach with prophet.

BMC medical informatics and decision making May 8, 2026

BACKGROUND: Accurate hospital bed occupancy forecasting is essential for effective resource planning and patient flow management. While complex machine learning models have gained popularity in healthcare forecasting, their operational utility often ... read more

Exploration and analysis of the application of the internet of things in nursing education in the 5G era: innovation of nursing education methods.

BMC medical education May 8, 2026

BACKGROUND: Nursing education is of great significance for cultivating high-quality nursing professionals. The introduction of Internet of Things (IoT) technology can create new opportunities for the development of nursing education. This study aims ... read more

Multi-omics analysis of the mechanism by ATP13A2 regulates the tumor microenvironment and prognosis in hepatocellular carcinoma.

Cancer cell international May 8, 2026

BACKGROUND AND AIMS: Hepatocellular carcinoma (HCC) is a prevalent global cancer. Most patients with HCC are diagnosed at an advanced stage. Therefore, new biomarkers and treatments are urgently needed. METHODS: We employed eQTL and intersected the r... read more

The geographic digital divide among dementia caregivers in the U.S.: a cross-sectional study.

BMC health services research May 8, 2026

BACKGROUND: Digital health tools, particularly patient portals, can support caregiving, but there is limited understanding of how sociodemographic and geographic factors influence digital health engagement among U.S. caregivers, especially dementia c... read more

Agentic GPT-5.0 system outperforms standard large language models and human experts in critical care clinical decision-making: a simulation study.

BMC medical informatics and decision making May 8, 2026

BACKGROUND: Agentic artificial intelligence (AI) systems employing multi-model architectures with iterative reasoning may surpass standard single-model large language models (LLMs) in complex clinical decision-making. Comprehensive comparisons of age... read more

Machine learning and SHAP interpretation to identify high-level compassion fatigue among operating room nurses: a multicenter cross-sectional study.

BMC nursing May 8, 2026

BACKGROUND: Operating room nurses (ORNs) are at high risk for compassion fatigue (CF), which significantly impairs individuals' well-being, undermines the stability of the nursing workforce, and jeopardizes patients' safety. The study aimed to analyz... read more

Leveraging immune and clinicopathological profiles with machine learning to predict axillary lymph node metastasis in breast cancer patients.

Breast cancer research : BCR May 8, 2026

BACKGROUND: Breast cancer is the leading cause of cancer-related death in women, with mortality increasing when tumor cells spread to nearby lymph nodes, particularly the axillary lymph nodes (ALNs). Although several studies predict patients with ALN... read more

Development and external validation of an interpretable machine-learning model for HFpEF comorbidity risk in COPD patients.

Respiratory research May 8, 2026

BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) and Heart Failure with preserved Ejection Fraction (HFpEF) frequently coexist, leading to increased hospitalization, mortality, and healthcare burden. Early identification of HFpEF risk in COPD... read more

Machine learning-based transcriptomic analysis of differentially expressed genes in the epithelium and stroma of keratoconus.

Human genomics May 8, 2026

BACKGROUND: This study was conducted to delineate layer-specific transcriptomic alterations in the keratoconus (KC) epithelium and stroma and to identify potential biomarkers using machine learning (ML)-based analysis. METHODS: Two publicly available... read more

Artificial Intelligence Medical Compendium