Artificial Intelligence Medical Compendium

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

Showing 17,271 to 17,280 of 213,726 articles

Machine-Learning-Based Predictive Model for Trifecta Achievement in Robot-Assisted Partial Nephrectomy.

Journal of endourology May 17, 2026
OBJECTIVE: To develop and internally validate a machine-learning-based nomogram for predicting trifecta achievement in patients undergoing robot-assisted partial nephrectomy (RAPN). MATERIALS AND METHODS: This retrospective single-center study includ... read more 

Agentic Artificial Intelligence in Medical Imaging Education: Architectural Autonomy and the Risk of Cognitive Surrender.

Journal of medical radiation sciences May 17, 2026
As agentic artificial intelligence systems become increasingly embedded in medical imaging, practice is moving from episodic decision support to workflow-based architectures that alter how practitioners think and practise. Medical imaging practice is... read more 

A synergistic framework integrating CPO-VMD with BiLSTM-TimesNet for accurate prediction of nonlinear and nonstationary runoff time series.

Scientific reports May 17, 2026
Accurate runoff prediction is essential for effective water resource management, yet the complex characteristics of runoff sequences-such as nonlinearity, non-stationarity, and intricate temporal dependencies-pose significant challenges. This study p... read more 

Assessing the suitability of automated registration and segmentation for dosimetry calculations in SIRT treatment planning.

EJNMMI physics May 17, 2026
BACKGROUND: Selective internal radiation therapy (SIRT) increasingly relies on accurate magnetic resonance imaging (MRI) to computed tomography (CT) registration and accurate liver and tumour segmentation, for effective pre-treatment planning. This s... read more 

Equilibrium and non-equilibrium thermodynamics in drug repurposing: Machine learning-guided discovery of high-affinity WEE1 kinase inhibitors.

Journal of molecular graphics & modelling May 17, 2026
WEE1 kinase represents a promising therapeutic target in oncology due to its critical role in cell cycle checkpoint regulation. Traditional drug discovery for WEE1 inhibitors has been constrained by the time and resource demands of conventional scree... read more 

Hydro-environmental dynamics of Kaptai Lake using satellite derived biophysical metrics and an ensemble Machine Learning Framework.

Journal of contaminant hydrology May 17, 2026
Bangladesh is a land of numerous fluvial waters bodies traversing across the whole landscape which has the complex waterbodies form the hydrological and ecological regime. Prediction of watershed change intrinsically imposes challenges due to complex... read more 

Comparative investigation of microwave-assisted and conventional pyrolysis: a machine learning-based approach.

Bioresource technology May 17, 2026
Pyrolysis can convert biomass into renewable energy carriers and chemicals. While microwave-assisted pyrolysis (MAP) enables volumetric heating with higher energy efficiency than conventional pyrolysis (CONV) relying on conductive-convective heat tra... read more 

A machine learning-assisted engineering of activation-free hierarchical and microporous biochars for selective adsorption.

Bioresource technology May 17, 2026
Biochar surface engineering for targeted applications is critical but typically relies on environmentally and economically burdensome activation processes. Here, we present a systematic, side-by-side comparison of cellulose (C) and cellulose acetate ... read more 

Unified interpretable machine learning framework for predicting pellet quality from raw and thermochemically pretreated biomass.

Bioresource technology May 17, 2026
Biomass pellets offer a renewable pathway for decarbonising industrial energy and metallurgical processes, yet inconsistent quality limits widespread adoption. This study presents a unified interpretable machine learning framework that predicts pelle... read more 

Automation and digitalization in drug product process development.

Journal of pharmaceutical sciences May 17, 2026
The pharmaceutical industry is undergoing a significant digital transformation, with automation emerging as a central strategy to streamline drug product (DP) process development, reduce costs, and enhance operational efficiency. This paper explores ... read more 
Popular Topics
Recent Journals