AI-Driven Innovations in Medical Computer Engineering and Healthcare

A special issue of AI (ISSN 2673-2688). This special issue belongs to the section "Medical & Healthcare AI".

Deadline for manuscript submissions: 30 April 2026 | Viewed by 79

Special Issue Editors


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Guest Editor
Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK
Interests: fetal ultrasound; medical image and video analysis; ubiquitous/pervasive computing; transfer learning; federated learning
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Guest Editor
School of Computer Science, University of Leeds, Leeds, UK
Interests: medical image analysis; machine learning; computer vision; cardiovascular imaging; biomedical signal processing

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Guest Editor
School of Information Technology, Halmstad University, Halmstad, Sweden
Interests: machine learning; explainable AI; privacy-preserving; data analytics, service design and business intelligence

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Guest Editor
Department of Computer Sciences, Ensenada Center for Scientific Research and Higher Education, Ensenada, Mexico
Interests: machine learning; wearable computing; human motion analysis; activity recognition
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Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) is driving advancements in diagnostics, treatment planning, and healthcare management by transforming how medical data—including imaging, physiological signals, and electronic health records—are processed, analyzed, and applied in clinical and research settings.

Innovations in machine learning, deep learning, and natural language processing are enhancing the accuracy and accessibility of healthcare solutions, including in resource-limited environments. These developments democratize decision-making support, enabling precise disease detection, predictive analytics, personalized medicine, and more efficient healthcare delivery.

This Special Issue welcomes contributions exploring cutting-edge developments in AI-driven computer engineering for medical applications, including but not limited to the following:

  • AI-powered medical image and video analysis for diagnosis and disease monitoring.
  • Machine learning applications in electronic health records, predictive analytics, and clinical decision support.
  • Computational approaches in personalized medicine.
  • AI-enhanced physiological signal processing (e.g., ECG, EEG, and wearable sensor data).
  • Telemedicine, remote patient monitoring, and AI-enabled healthcare automation.
  • Security, privacy, and ethical considerations in AI-driven medical technologies.
  • Explainability and interpretability of AI models in clinical decision-making and patient care.
  • AI systems with impact on healthcare accessibility, including their use in resource-limited or underserved environments.

Please note that this Special Issue does not cover contributions related to computational chemistry, biomolecular structure and dynamics, or drug discovery.

We aim to highlight interdisciplinary research that bridges AI, computer engineering, and medicine, showcasing how intelligent computational methods are advancing healthcare, improving patient outcomes, and shaping the future of medical practice.

Dr. Netzahualcoyotl Hernandez-Cruz
Dr. Ping Lu
Dr. Jens Lundström
Dr. Irvin Hussein Lopez-Nava
Guest 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 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. AI 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 1600 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 diagnostics
  • clinical decision support
  • telemedicine
  • remote monitoring
  • wearables
  • predictive analytics
  • biomedical signals
  • personalized medicine
  • healthcare automation
  • explainability

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Published Papers

This special issue is now open for submission.
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