AI Advancements in Healthcare: Medical Imaging and Sensing Technologies

Dear Colleagues,

Artificial intelligence (AI) has recently revolutionized healthcare with advancements in medical imaging and sensing technologies. These advancements result in automated, precise, and efficient diagnosis and prognosis tools, significantly improving disease detection and patient care. AI algorithms demonstrate exceptional proficiency in analyzing medical images (MRI, CT, PET, etc.) and signals (EEG, ECG, EMG) for the classification of abnormalities, as well as the detection and segmentation of suspicious regions. This improves diagnostic accuracy, expedites decision-making processes, and offers benefits across various medical specialties. Moreover, researchers are actively addressing challenges such as artifact correction, image synthesis, and multi-modality registration to enhance medical data analysis, leading to more reliable clinical decisions and treatment plans. The integration of AI with medical imaging and sensing presents vast potential. It enables early disease detection, personalized treatment plans, and the enhanced monitoring of various conditions. With ongoing advancements in AI and computing capabilities, the potential for further innovation in healthcare is boundless, promising a future where healthcare delivery is more precise, efficient, and patient-centric than ever before.

This Special Issue invites novel research and technical advancements in biomedical imaging and sensing technologies. Original research papers and comprehensive reviews focusing on cutting-edge methodologies are encouraged.

Topics of interest for this Special Issue include, but are not limited to, the following:

• Biomedical imaging;
• Biosignals;
• Medical image analysis;
• Abnormalities classification and detection;
• Medical image segmentation;
• Medical image reconstruction;
• Medical image denoising;
• Medical image registration;
• AI in biomedical systems;
• Computer-aided diagnosis systems.

Dr. Mohammed A. Al-masni
Dr. Kanghyun Ryu
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. Bioengineering 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 2700 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.

• biomedical imaging
• biosignals
• medical image analysis
• abnormalities classification and detection
• medical image segmentation
• medical image reconstruction
• medical image denoising
• medical image registration
• AI in biomedical systems
• computer-aided diagnosis systems