Artificial Intelligence in Medicine

Aims & Scope✦ Inferred from recent articles

This journal focuses on the application of artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL) techniques, to address challenges in healthcare. Key areas of investigation include improving diagnostic accuracy, predicting patient outcomes, and enhancing clinical decision-making across various medical domains such as oncology, cardiology, and dermatology. The journal also explores advancements in explainable AI (XAI) for medical applications, the development of privacy-preserving AI methods for sensitive health data, and the integration of AI in drug discovery and pain management. Furthermore, it examines the practical considerations of AI in healthcare, including the reliability of uncertainty estimates, domain adaptation for heterogeneous data, and the environmental impact of AI technologies.

AI-summarised from recent articles · verify on publisher page →

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification