Artificial Intelligence Medical Compendium

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

Showing 9,901 to 9,910 of 208,614 articles

Gray matter brain age predicts cognitive outcome one year after ischemic stroke.

Journal of Alzheimer's disease : JAD
BackgroundPredicting post-stroke cognitive impairment (PSCI) remains challenging.ObjectiveThis study validated two brain age metrics-Gray Matter Brain Age (GMBA) and Predicted Age Difference (PAD)-as independent predictors of 12-month cognitive decli... read more 

Integrated cell-free DNA and omics genetic scores for early detection of gestational diabetes: evidence from a nationwide multicenter study.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
BACKGROUND: Gestational diabetes mellitus (GDM) affects 15.6% of pregnancies globally, with Vietnam exhibiting one of the highest prevalences at 21%. Current diagnostic approaches at 24-28 weeks limit early intervention opportunities. We developed a ... read more 

High-Throughput Prediction of Single-Point Energies for Charged Polymer Monomers through Feature-Engineered Machine Learning.

The journal of physical chemistry. B
Accurate prediction of single-point energy is essential for understanding molecular stability, electronic structure, and environment-dependent energetics, particularly for polar and charged polymeric monomers. Density functional theory (DFT) provides... read more 

A Benchmark Evaluation of Chemical Structure Extraction from Patents: Insights and Challenges in Chemical Structure Recognition.

Chemical research in toxicology
Early warning systems (EWSs) are currently being developed by various authorities aiming at identifying potentially hazardous chemicals before they become a threat to the environment and human health. In this context, patents provide an excellent dat... read more 

What Do We Know About How Generative AI is Being Used for Patient-Centered Communication? A Scoping Review.

Health communication
This paper offers a scoping review of extant research examining how generative artificial intelligence (AI) is being designed, tested, and used to facilitate patient-centered communication. Using the Joanna Briggs Institute methodology and PRISMA-ScR... read more 

Machine learning to predict occult neck node metastasis in early oral squamous cell carcinoma - a comparison of models to risk stratify patients undergoing a sentinel lymph node biopsy.

Future oncology (London, England)
BACKGROUND: Sentinel node biopsy (SNB) provides pathological staging of the neck in T1/T2 node-negative oral squamous cell carcinoma (OSCC). Up to 85% of SNB positive patients will have a negative completion neck dissection (CND), thus receiving unne... read more 

A review and evaluation of internal migration forecasting models.

Population studies
Recognizing that internal migration is an important source of error in population projections, we evaluate 21 forecasts from five classes of methods: (1) average of the most recent flows; (2) time-series econometric models with and without external f... read more 

Crystallization-Driven Stable Resistive Switching and Reproducible Synaptic Learning in GeSe-Based Artificial Synapses.

ACS applied materials & interfaces
The rising demand for high-performance, energy-efficient neuromorphic systems has driven the exploration of chalcogenide materials with tunable electronic properties. Here, Ag/GeSe/FTO resistive-switching devices are demonstrated that exhibit Pavlovi... read more 

Aquifer Thermal Energy Storage: Groundwater for Efficient Data Center Cooling in the United States.

Ground water
Data centers are energy end users with the fastest growing need for electricity in the United States, mainly because of the rapid expansion of cloud computing and artificial intelligence (AI). A substantial portion of this electricity, between 10% an... read more 

Smart dual-wavelength UV-vis spectroscopic method and smartphone-based RGB method for the rapid quantification of pyronaridine tetraphosphate: integration with the SDG approach.

Analytical methods : advancing methods and applications
The proposed study is based on the development of the UV-vis spectrum of pyronaridine tetraphosphate by AI, attention-based recurrent neural networks, DFT and in-lab experiments. This novel smart method was developed using water to maintain greenness... read more