Artificial Intelligence Medical Compendium

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

Showing 44,071 to 44,080 of 224,055 articles

Evaluating Artificial Intelligence-Generated Nursing Care Plans: A Scenario-Based Comparative Study of Accuracy, Completeness, Quality, and Readability.

Journal of clinical nursing
AIM: This study aimed to evaluate the ability of three generative artificial intelligence tools (ChatGPT, Gemini and DeepSeek) to generate clinically accurate, comprehensive, and readable nursing care plans aligned with standardised nursing taxonomie... read more 

Dual-mode 0D/2D spatial asymmetry optoelectronic device enabled by in situ microzone femtosecond laser deposition.

Light, science & applications
To develop artificial intelligence and humanoid robotics, it is crucial to fabricate advanced vision systems with high efficiency and versatility. A key challenge is the functional integration of high-speed photodetectors (PD) and neuromorphic vision... read more 

Integrated photonic 3D tensor processing engine.

Light, science & applications
Optical computing leverages high bandwidth, low latency, and power efficiency, which is considered as one of the most effective solutions for accelerating deep learning tasks. However, mainstream photonic hardware accelerators are primarily optimized... read more 

Motion capture dataset of 137 post-operative total hip replacement patients performing activities of daily living.

Scientific data
Three-dimensional motion capture is a powerful tool in clinical and engineering applications, but it can be time consuming, expensive, and difficult to access patient populations. Here, we present an open-access dataset comprising 3D motion capture a... read more 

AMR-GNN: a multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction.

Nature communications
Whole-genome sequencing (WGS) data are an invaluable resource for understanding antimicrobial resistance (AMR) mechanisms. However, WGS data are high-dimensional and the lack of standardized genomic representations is a key barrier to AMR phenotype p... read more 

Fragmentomic liquid biopsy enables early breast cancer detection, molecular subtyping and lymph node assessment.

Nature communications
Breast cancer remains a leading global health concern in women, while screening is still limited by imaging accessibility and reduced sensitivity in dense breasts. Here we conduct a multicenter case-control study including 503 breast cancer patients ... read more 

A Benchmark Dataset for Machine Learning Surrogates of Pore-Scale CO2-Water Interaction.

Scientific data
Accurately capturing the complex interaction between CO2 and water in porous media at the pore scale is essential for various geoscience applications, including carbon capture and storage (CCS). We introduce a comprehensive dataset generated from hig... read more 

Explainable machine learning for incipient anomaly detection in compact molten salt heat exchanger with overlapping feature distributions.

Scientific reports
High-temperature molten salt-cooled reactors (MSCRs) are a promising next-generation nuclear technology option, offering efficient power conversion and inherent safety features. However, the reliability of these systems depends on the robust operatio... read more 

Automated measurement of hallux valgus angles using a deep learning model: validation and comparison with surgeons of varying expertise.

Scientific reports
Hallux valgus (HV) assessment commonly relies on measuring the hallux valgus angle (HVA) and intermetatarsal angle (IMA) on weight-bearing radiographs. Manual measurement is time-consuming and subject to intra- and inter-observer variability. Deep le... read more