Advancements in Medical and Assistive Technologies Using Artificial Intelligence and Deep Learning Techniques

Dear Colleagues,

Integrating artificial intelligence (AI) and deep learning (DL) techniques into medical and assistive technology (AT) is revolutionizing the healthcare landscape, offering unprecedented precision and efficiency in diagnosing, monitoring, and treating various conditions. As the demand for personalized and accessible healthcare grows, these technologies are crucial in overcoming the limitations of traditional methods, providing new avenues for innovation in patient care. AI and deep learning can allow healthcare systems to handle vast numbers of data, enabling more accurate and timely interventions, which are vital in developing assistive technologies that enhance the quality of life for individuals with disabilities. These advancements not only improve existing medical practices but also drive the creation of novel tools and systems to reshape the future of healthcare.

For this Special Issue, we will gather new research at the intersection of AI, deep learning (DL), and biomedical engineering, redefining modern healthcare by showcasing innovative methods for diagnosing, monitoring, and treating various medical conditions. The focus will be on cutting-edge developments in AI and DL applications within medical technologies and assistive devices, addressing challenges in designing and deploying AI-driven solutions across healthcare domains.

Contributions are invited on topics such as the following:

• AI and DL in medical diagnostics for early disease detection through medical imaging or signal processing;
• the development of adaptive assistive technologies and robotics to support individuals with disabilities;
• advancements in healthcare monitoring systems powered by AI for real-time analysis;
• AI-driven biomedical signal processing;
• the application of deep learning in biomedical imaging and signal interpretation;
• smart medical device innovation for improved patient care, including security for telemedicine technologies;
• the use of AI in personalized medicine for tailored treatment plans;
• the integration of AI into IoT in healthcare environments to optimize patient outcomes;
• the ethical and security challenges in AI-driven healthcare systems.

To conclude, we welcome submissions exploring the integration of AI-based programs and AT tools or devices into reinforcement learning principles and new technologies (e.g., augmented reality, virtual reality, serious games, and telerehabilitation) for both assessment and recovery purposes, to provide participants with highly customized and tailored technological solutions. This Special Issue will feature work that presents novel systems or approaches, frameworks, methods, algorithms, or applications, pushing the boundaries of what AI and DL can achieve in the healthcare sector.

Dr. Fabrizio Stasolla
Dr. Everardo Inzunza-González
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. Technologies 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.

• artificial intelligence
• medical imaging
• machine learning
• medical image classification
• deep learning
• H-IoT
• biomedical signal processing
• deep neural networks
• CNNs
• health informatics
• computer-aided diagnosis
• data science