3rd Edition: AI/ML-Based Medical Image Processing and Analysis
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 October 2025 | Viewed by 282
Special Issue Editors
Interests: machine learning; artificial intelligence; image processing; Internet of Things (IoT); robotics
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; artificial intelligence; image processing; Internet of things (IoT)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The use of artificial intelligence (AI) and machine learning (ML) in medical image processing and analysis is becoming increasingly important due to advances in image processing and analysis technology for the automated recommendation of medical diagnoses. Medical professionals and institutions could benefit from machine learning (ML)- and artificial intelligence (AI)-enabled medical devices, as they could ease the workload of professional medical personnel, increase the accuracy of diagnoses, and enable early diagnosis and intervention. The U.S. Food and Drug Administration has already approved many AI/ML-enabled medical devices, which are listed at https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices. Researchers are encouraged to continue conducting studies in this field and establishing patentable methods and devices for use in medical institutions.
The International Conference on Advancement in Healthcare Technology and Biomedical Engineering (AHTBE 25) will be held in Vancouver, BC, Canada, on August 28–30, 2025. The conference aims to connect leading experts to discuss the latest innovations, challenges, and future directions in healthcare technology and biomedical engineering. The conference will provide a platform for the dissemination of cutting-edge research, fostering collaboration among researchers, practitioners, and policymakers from around the globe.
More information can be found on the conference website: https://ahtbe.ca/.
Dr. Ghazanfar Latif
Dr. Jaafar Alghazo
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. 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
- machine learning
- artificial intelligence
- medical imaging
- medical diagnosis
- medical
- magnetic resonance imaging (MRI)
- CT scan
- X-ray
- computer tomography
- imaging techniques
- medical conditions
- convolutional neural networks
- deep learning
- transfer learning
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