This journal focuses on the application of computational methods, machine learning, and artificial intelligence to address challenges in biomedicine and healthcare. Articles explore the development and evaluation of algorithms for medical image analysis, disease diagnosis, drug discovery, and patient monitoring. The scope includes the use of deep learning, transfer learning, and other AI techniques to improve diagnostic accuracy, standardize clinical workflows, and extract meaningful insights from medical data.
AI in cancer detectionCOVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingMachine Learning in HealthcareArtificial Intelligence in HealthcareArtificial Intelligence in Healthcare and EducationMobile Health and mHealth ApplicationsEEG and Brain-Computer InterfacesCOVID-19 epidemiological studiesRetinal Imaging and Analysis