Innovative Advances in Diagnosis Through Artificial Intelligence

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 106

Special Issue Editor


E-Mail Website
Guest Editor
Expert Medical Analysis Group, Institute of Technology, University of Castilla-La Mancha, 16071 Cuenca, Spain
Interests: artificial intelligence; machine learning; deep learning

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) continues to revolutionize numerous fields, with its impact being particularly evident in healthcare diagnostics. AI-driven advancements in diagnosis promise enhanced precision, efficiency, and personalization in medical decision-making, addressing critical challenges in modern healthcare systems. The computational power and learning capabilities of AI algorithms have led to breakthroughs in pattern recognition, predictive analytics, and image processing. These advancements have redefined diagnostic approaches, allowing healthcare professionals to detect and treat conditions earlier and more accurately. Techniques such as machine learning, deep learning, and natural language processing have become indispensable tools in advancing diagnostics across a range of medical disciplines. This Special Issue, entitled "Innovative Advances in Diagnosis Through Artificial Intelligence", seeks to present cutting-edge research on AI-based diagnostic techniques and their applications in diverse healthcare domains. The scope of this Special Issue includes, but is not limited to, the following topics:          

  • Predictive diagnostics using machine learning         
  • Integration of AI in personalized healthcare       
  • Diagnostic systems leveraging multimodal data      
  • Early disease detection using AI tools
  • Advances and diagnosis in liver diseases
  • Smart diagnostic systems and wearable technology
  • Other related topics addressing AI and advanced diagnostics

Dr. Jorge Mateo Sotos
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Diagnostics 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 2600 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
  • medical diagnostics
  • predictive analytics
  • machine learning
  • deep learning
  • digital pathology
  • early disease detection
  • personalized medicine
  • smart healthcare

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Published Papers

This special issue is now open for submission.
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