Advances in Artificial Intelligence for Biomedicine
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 708
Special Issue Editor
Interests: artificial intelligence; computer vision; software engineering; algorithm design; big data; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has made significant contributions to the field of biomedicine, revolutionizing biomedical research. The integration of AI in biomedicine has great promises for enhancing diagnostics, drug discovery, personalized medicine, and overall patient care. Despite its numerous benefits, there are challenges and ethical considerations regarding the application of AI in biomedicine, namely ensuring data privacy, addressing ethical concerns, maintaining the transparency and interpretability of AI algorithms, and integrating AI technologies into existing healthcare systems.
This Special Issue will aim to explore the potential of using AI technologies in biomedicine to improve diagnostics, accelerate drug discovery, enable personalized medicine, and optimize healthcare operations. Both theoretical and experimental studies are welcome, as well as comprehensive review and survey papers.
Topics of interest for this Special Issue include, but are not limited to, the following:
- Medical imaging analysis;
- AI for diagnosis prognosis;
- AI for genomics and personalized medicine;
- AI for drug discovery and development;
- Natural Language Processing (NLP) in Electronic Health Record (EHR) analysis;
- AI in medical robotics and surgery;
- AI for remote patient monitoring.
Dr. Anca Udristoiu
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- deep learning
- machine learning
- natural language processing
- diagnosis prognosis
- drug discovery
- personalized medicine
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
