Is there any ai medical journals available to research
Executive summary
There are multiple dedicated, peer‑reviewed journals explicitly focused on AI in medicine available for research, including JMIR AI (inaugural impact factor 2.0) [1], Journal of Medical Artificial Intelligence (open‑access, indexed in ESCI and with a 2024 CiteScore 2.1) [2], and established titles such as Artificial Intelligence in Medicine from Elsevier [3]. Major publishers and mainstream medical outlets have launched AI‑specific venues as well: NEJM launched a series and a new journal NEJM AI (planned/active) and lists AI in Medicine coverage [4] [5], while specialty and multidisciplinary platforms such as Frontiers and MDPI also host AI‑and‑health sections and journals [6] [7] [8].
1. Where to start: recognized, AI‑focused medical journals
If you want journals devoted to medical AI, begin with titles explicitly dedicated to the field: JMIR AI promotes applications of AI in health and reports an inaugural Clarivate Journal Impact Factor of 2.0 [1]; the Journal of Medical Artificial Intelligence (JMAI) is peer‑reviewed, open access, and announced ESCI selection and a 2024 CiteScore of 2.1 [2]; and Artificial Intelligence in Medicine (Elsevier/ScienceDirect) publishes interdisciplinary original research tying AI methods to clinical problems [3]. These outlets focus reviewer attention and editorial scope squarely on AI methods applied to clinical, imaging, informatics and decision‑support problems [3] [2] [1].
2. Big‑name and multidisciplinary outlets publishing medical AI
Major medical and multidisciplinary publishers have launched AI‑centric platforms. The New England Journal of Medicine announced an “AI in Medicine” program and the launch of NEJM AI as a forum for evidence and debate around clinical AI [4]; NEJM AI is presented as a monthly journal offering research and perspectives on clinical applications [5]. Frontiers and Frontiers in Artificial Intelligence host medicine‑and‑public‑health sections publishing critical and bibliometric work on AI and disparities and the evolution of AI in healthcare [6] [7]. MDPI publishes an “AI in Medicine” open‑access journal as part of an AI journal cluster [8]. These venues can be useful when you want high editorial visibility or cross‑disciplinary readership [4] [5] [8].
3. Coverage types and what each journal emphasizes
Different journals emphasize different contributions: Artificial Intelligence in Medicine favors methodological and theoretical novelty in AI and expects clinical assessment of real‑world impact [3]; JMIR AI appears oriented to applied health settings and shows breadth across patient‑centered and systems topics [1]; JMAI covers bio‑ and clinical medicine, machine‑learning decision support, robotic surgery and education, signaling a broad remit for both technical and clinical research [2]. NEJM AI frames itself around rigorous randomized trials and standards to evaluate clinical applications, indicating stronger emphasis on clinical validation [5] [4].
4. Indexing, metrics and editorial quality cues
Indexing and metrics are visible signals but vary: JMIR AI has an inaugural Clarivate Impact Factor of 2.0 [1]; JMAI reports ESCI inclusion and a 2024 CiteScore of 2.1 [2]; established journals like Artificial Intelligence in Medicine appear in Scopus/SciMago listings and emphasize long publication history [9] [3]. Use indexing (Clarivate, Scopus/ESCI), editorial board composition, peer‑review policies and presence of clinical validation or randomized trials as proxies for editorial rigor [1] [2] [3] [5].
5. Topics you’ll reliably find and gaps to watch for
Expect papers on clinical decision support, imaging, diagnostics, algorithm development, implementation, ethics, disparities and bibliometric overviews [3] [2] [6] [7]. Available sources do not mention detailed lists of every specialty‑level AI journal (for example, domain‑specific oncology or neurology AI journals beyond general AI‑in‑medicine titles) — you may need targeted searches in oncology, radiology or informatics journals for niche areas (not found in current reporting).
6. Practical research tips and caveats
Search the journal sites and look for APCs and open‑access policies (Artificial Intelligence in Medicine lists an APC example) and for whether a journal prioritizes methodological novelty versus clinical trials [3] [8]. Be aware that some new journals boast rapid publication timelines and expanding metrics — verify peer‑review processes and indexing before relying on an outlet for high‑stakes evidence synthesis [8] [2]. Cross‑check high‑impact clinical validation claims in NEJM AI and similar venues where emphasis is on randomized trials and standards [5] [4].
If you want, I can compile direct links to a short reading list (by area: imaging, decision support, ethics, implementation) drawn from these journals’ recent articles and special issues noted in the sources above [1] [3] [2] [5] [6] [7] [8].