Artificial Intelligence Medical Compendium

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

Showing 69,781 to 69,790 of 234,067 articles

IMF-DDI: Information Mapping and Fusion Framework for Drug-drug Interaction Prediction.

Interdisciplinary sciences, computational life sciences
Drug-drug interactions (DDIs) are crucial throughout various stages of drug development. Using computer-aided methods for accurate prediction of DDIs can enhance clinical safety and accelerate drug discovery. However, most existing deep learning meth... read more 

Electride-induced interlayer charge transfer enhances single-cluster catalysts for CO2 electroreduction.

Journal of colloid and interface science
Single-cluster catalysts (SCCs) exhibit great potential for tackling the sluggish kinetics and low Faraday efficiency of the CO2 reduction reaction (CRR) owing to their unique catalytic activity and maximum atom efficiency. However, the development o... read more 

Direction-Aware convolution for airway tubular feature enhancement network.

Medical image analysis
Manual annotation of airway regions in computed tomography images is a time-consuming and expertise-dependent task. Automatic airway segmentation is therefore a prerequisite for enabling rapid bronchoscopic navigation and the clinical deployment of b... read more 

Deep data consistency: A fast and robust diffusion model-based solver for inverse problems.

Neural networks : the official journal of the International Neural Network Society
Diffusion models have become a successful approach for solving various image inverse problems by providing a powerful diffusion prior. Many studies have tried to combine the measurement into diffusion by score function replacement, matrix decompositi... read more 

Machine learning in geriatric care: a scoping review of models using multidimensional assessment data.

International journal of medical informatics
BACKGROUND: Geriatric assessments capture multidimensional data on physical, cognitive, psychological, and social health, offering opportunities to apply machine learning (ML) to support clinical decision-making in aged care. However, the application... read more 

A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer.

Medical image analysis
The histopathological evaluation of biopsies by human experts is a gold standard in clinical disease diagnosis. While recent artificial intelligence-based (AI) approaches have reached human expert-level performance, they often display shortcomings ca... read more 

Molecular targeted therapies, omics, and AI based theranostics approaches for the treatment of prostate cancer.

Talanta
Cancer is a disease that begins with genetic and epigenetic alterations occurring in specific cells, some of which can spread and migrate to other tissues. Prostate cancer ranks as one of the most prevalent malignancies among men globally, particular... read more 

An integrated machine learning framework for predicting anthropogenic and natural iodine isotopes in the South China Sea with uncertainty quantification.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Anthropogenic Iodine-129 (129I) is a critical long-lived radionuclide for tracing ocean circulation and environmental contamination. However, its measurement is costly and yields spatially sparse data, limiting comprehensive environmental assessment.... read more 

Development and application of DAISY framework for benchmarking AI generated vs human-written abstracts in dental research.

International journal of medical informatics
BACKGROUND: Despite the increasing use of AI tools like ChatGPT, Claude, and Gemini in scientific writing, concerns remain about their ability to generate accurate, high-quality, and consistent abstracts for research publications. The reliability of ... read more