Radiology: Artificial Intelligence (RAI)

Radiology: Artificial Intelligence is a high-impact, peer-reviewed scientific journal dedicated to the application of artificial intelligence techniques in medical imaging and radiology. Published by the Radiological Society of North America, the journal serves as a specialized platform for research at the intersection of healthcare and advanced computational technologies. The journal covers a broad range of topics including deep learning, machine learning, computer vision, and data analytics applied to radiological imaging such as CT, MRI, ultrasound, and X-ray. It emphasizes innovations in automated image interpretation, clinical decision support systems, workflow optimization, and predictive analytics in healthcare. A major focus of the journal is translating AI research into clinical practice, ensuring that new algorithms and tools are reliable, reproducible, and beneficial for patient care. It also addresses challenges such as model transparency, data bias, and regulatory considerations in medical AI.

Radiology: Artificial Intelligence (RAI) is :-

• International, Peer-Reviewed, Open Access, Refereed, Radiology & Medical Imaging, Artificial Intelligence & Machine Learning, Diagnostic Imaging, Computer-Aided Diagnosis, Medical Data Science, deep learning, machine learning, computer vision, and data analytics applied to radiological imaging such as CT, MRI, ultrasound, X-ray, clinical decision support systems, workflow optimization, predictive analytics in healthcare , Online , Bi-Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2638-6100, Established: 2019,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE