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

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

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