Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 60,421 to 60,430 of 228,072 articles

Lactylation-driven gene signatures define breast cancer prognosis: a predictive model and insights into immune microenvironment dynamics.

European journal of medical research
BACKGROUND: Breast cancer is a leading cause of cancer-related mortality worldwide, with poor prognosis largely due to its invasive and metastatic nature. Tumor lactylation plays a crucial role in cancer progression by influencing immune modulation a... read more 

A multi-method analysis of employee-driven green service innovation in hotels based on the ability-motivation-opportunity framework.

Scientific reports
Against the backdrop of green transformation as a strategic priority in the hotel industry, the employee-driven mechanisms of green service innovation (GSI) remain insufficiently understood. Existing studies largely rely on linear pathways and fail t... read more 

Ubiquitous sensing of marine activities via the cooperation of autonomous underwater vehicles.

Scientific reports
Effective monitoring of marine activities is essential for optimizing the marine operations, ensuring the safety and protecting the marine environment. However, the existing monitoring approaches still have the problems of low intelligence, high cost... read more 

Machine learning-based prediction of progression from idiopathic cytopenia of undetermined significance to myeloid malignancies.

Scientific reports
Although the risk of progression varies, a subset of patients with idiopathic cytopenia of undetermined significance (ICUS) eventually develop myeloid malignancies. Early identification of high-risk patients is crucial for timely intervention and opt... read more 

The influence of study area selection and landslide inventory practices on landslides spatial distribution: an example from Northern Morocco.

Scientific reports
Numerous studies focused on the technical limitations of Landslides Susceptibility Maps (LSM). They were concerned with the impact of LSM technique selection, conditioning factor combinations, and/or Landslides Inventory Map (LIM) practices on LSM se... read more 

Identifying and predicting gait stability metrics in people with stroke in uneven-surface walking using machine learning.

Scientific reports
People with stroke (PwS) face increased fall risk on uneven surfaces; however, gait stability under such conditions remains unexplored. This study used machine learning (ML) to identify acceleration features distinguishing PwS from healthy controls (... read more 

Soil organic carbon modeling in cropland under several climatic scenarios using machine learning in western India.

Scientific reports
This study investigated how shared socioeconomic pathways (SSPs) scenarios affect farmland soil organic carbon (SOC). The effects of historical precipitation, temperature, soil type, soil features, land shape, farming methods, and land use changes on... read more