Deep learning on chest X-ray and computed tomography scans for detection of COVID-19 as a part of a network-centric digital health stack for future pandemics

Algorithm development and metal oxide nanoparticle analysis in magnetic resonance imaging: Advancing neurodegenerative disease diagnostics

Does improving diagnostic accuracy increase artificial intelligence adoption? A public acceptance survey using randomized scenarios of diagnostic methods

The role of artificial intelligence in higher medical education and the ethical challenges of its implementation

Enhancing spinal MRI segmentation with an asymmetric U-Net architecture

Diagnosis of COVID-19 from computed tomography slices using flower pollination algorithm, k-nearest neighbor, and support vector machine classifiers

Vision transformers for glioma classification using T1 magnetic resonance imaging

Benchmarking machine learning missing data imputation methods in large-scale mental health survey databases

Machine learning-driven prediction of EBNA1 inhibitors against Epstein–Barr virus in nasopharyngeal carcinoma

A machine learning approach to unravel client and program-specific effects in opioid treatment retention