Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 23,761 to 23,770 of 217,366 articles
Physics-Informed Machine Learning in Biomedical Science and Engineering.
Annual review of biomedical engineering
May 1, 2026
Physics-informed machine learning (PIML) is emerging as a potentially transformative paradigm for modeling complex biomedical systems by integrating parameterized physical laws with data-driven methods. Here, we review three main classes of PIML fram... read more
Integrating Artificial intelligence within sustainable smart analytical chemistry for analyzing the divisor impact on UV-spectrophotometric efficiency of solifenacin and mirabegron combination.
Scientific reports
May 1, 2026
This study examines the influence of divisor selection on the efficacy of advanced analytical spectrophotometric methods that integrate artificial intelligence (AI), green-chemistry principles, and white-analytical-chemistry (WAC) frameworks for phar... read more
EED-Astig: A Multimodal Dataset for Pediatric Astigmatism Severity Prediction.
Scientific data
May 1, 2026
Astigmatism is a prevalent refractive error in preschool children and a leading cause of preventable early visual impairment. Conventional screening methods are often unsuitable for young children due to high costs, specialized equipment, and the nee... read more
Hybrid machine learning approach for predicting compressive strength of sustainable concrete incorporating palm oil fuel ash.
Scientific reports
May 1, 2026
Accurate prediction of compressive strength is important for the efficient design of sustainable concrete incorporating palm oil fuel ash (POFA). This study developed a hybrid artificial neural network model optimized using biogeography based optimiz... read more
GNN-ML-FRL: a graph-enhanced meta-adaptive federated learning framework for scalable pest identification and ernvironmental modeling.
Scientific reports
May 1, 2026
Heterogeneous agro-ecological factors, insect breeding, and climate change are serious challenges to sustainable agricultural management. The study proposes a graph-enhanced meta-adaptive federated learning framework (GNN-ML-FRL) to address the chall... read more
A hybrid simulation-machine learning proxy model for waterflood design optimization in the Bahariya Formation.
Scientific reports
May 1, 2026
This study presents a novel hybrid methodology combining machine learning (ML) with conventional reservoir simulation to optimize waterflooding in the geologically complex Bahariya Formation, Western Desert, Egypt. The research addresses the critical... read more
Data-driven assessment of industrial influences on urban heat index dynamics across Telangana, India.
Scientific reports
May 1, 2026
Urban heat stress is an escalating environmental risk in rapidly industrialising regions of India, where land-use transformation and industrial expansion interact with background climatic warming. This study examines the spatio-temporal evolution of ... read more
The impact of AI technology for ideological and political education teaching based on deep learning.
Scientific reports
May 1, 2026
This study investigates the innovative use of deep learning models in ideological and political education (IPE) at vocational colleges. The study focuses on addressing two core challenges in traditional IPE: limited adaptability of educational resour... read more
Data-driven prioritization of carbon neutral strategies using agentic artificial intelligence and fractal fuzzy decision analysis.
Scientific reports
May 1, 2026
This study proposes an integrated decision-making framework to prioritize carbon-neutral strategies under complex and uncertain conditions. The model combines an agentic artificial intelligence structure, which systematically extracts relevant strate... read more
A hybrid flower pollination algorithm-deep learning approach for strength prediction of sustainable recycled fine aggregate concrete with GUI-based implementation.
Scientific reports
May 1, 2026
This study presents an integrated experimental-machine learning framework for evaluating and predicting the compressive strength of sustainable rigid pavement concrete incorporating 50% washed recycled fine aggregates (WRFA) as a replacement for natu... read more
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