AI-Driven Innovations in Medicine—Encyclopedia of Artificial Intelligence
A topical collection in Encyclopedia (ISSN 2673-8392). This collection belongs to the section "Mathematics & Computer Science".
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Interests: artificial intelligence; machine learning; data science & engineering; big data; business intelligence & data warehousing; data quality management; data integration and heterogeneous information systems
Special Issues, Collections and Topics in MDPI journals
Topical Collection Information
Dear Colleagues,
The rapid advancement of Artificial Intelligence (AI) in healthcare is transforming the way medical data is analyzed, diagnoses are made, and treatments are personalized. This Topical Collection on AI in Medicine aims to bring together cutting-edge research, methodologies, and applications that leverage AI and Data Science to address key challenges in healthcare. Potential contributions include the development of intelligent diagnostic tools, predictive models for patient outcomes, personalized treatment recommendations, and the integration of heterogeneous medical datasets for improved clinical decision-making.
By focusing on AI in the medical domain, this collection encourages submissions that explore both theoretical innovations and practical implementations. Topics of interest include machine learning algorithms for medical imaging, natural language processing of electronic health records, predictive analytics in epidemiology, AI-driven drug discovery, and ethical considerations in deploying AI in clinical settings.
The goal of this collection is to provide a comprehensive overview of how AI and data-driven approaches can enhance patient care, optimize healthcare workflows, and foster innovation in medical research. We invite authors to submit entries and review articles that demonstrate the potential and impact of AI technologies in medicine. This collection will serve as a guide for researchers, practitioners, and policy-makers interested in the intersection of AI, Data Science, and healthcare.
Dr. Otmane Azeroual
Dr. Robert Friedman
Collection Editors
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 Topical Collection website. Review articles and Entry papers 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. Encyclopedia is an international peer-reviewed open access monthly 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 1200 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
- artificial intelligence in medicine
- machine learning
- data science & engineering
- medical imaging
- predictive analytics
