Artificial Intelligence and Machine Learning for Improving Medical Treatment and Healthcare Systems

Dear Colleagues,

We are pleased to announce a Special Issue titled "Artificial Intelligence and Machine Learning for Improving Medical Treatment and Healthcare Systems." As the field of healthcare undergoes transformative changes driven by the advancements in artificial intelligence (AI) and machine learning (ML), we cordially invite you to contribute your cutting-edge research to this groundbreaking Issue.

This Special Issue aims to showcase the latest breakthroughs, innovative methodologies, and promising applications of AI and ML in revolutionizing medical treatment and healthcare systems. We seek high-quality contributions encompassing a wide range of topics, including but not limited to AI-driven diagnostic tools, predictive modeling, personalized medicine, data mining and analysis, clinical decision support systems, image and signal processing, and healthcare resource management.

By sharing your research, you will have the opportunity to disseminate your findings to a global audience of renowned experts in the field, fostering collaborations and stimulating further advancements in the intersection of AI, ML, and healthcare. This Special Issue will serve as a platform for thought-provoking discussions, encouraging the exchange of ideas and paving the way for impactful solutions that can enhance patient care and improve healthcare outcomes.

We invite original research articles, review papers, case studies, and perspectives that explore the full potential of AI and ML in medical treatment and healthcare systems. All submissions will undergo a rigorous peer-review process to ensure the highest scientific standards.

Topics of interest include, but are not limited to:

• AI-driven diagnostic tools for accurate disease detection;
• Predictive modeling and forecasting for healthcare outcomes;
• Personalized medicine approaches using AI and ML;
• Data mining and analysis techniques for healthcare data;
• Clinical decision support systems based on AI and ML algorithms;
• Image and signal processing advancements in medical imaging;
• Natural language processing for automated medical record analysis;
• ML techniques for identifying disease biomarkers and genetic associations;
• Machine learning in healthcare resource management and optimization;
• AI-enabled wearable devices for remote patient monitoring;
• Deep learning algorithms for medical image interpretation and analysis;
• Ethical considerations and bias mitigation in AI and ML applications in healthcare;
• Explainable AI for transparency and trust in medical decision-making.

Dr. Giacomo Cappon
Dr. Martina Vettoretti
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. Applied Sciences 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 2400 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.

• advanced healthcare methods
• personalized medicine
• explainable artificial intelligence and machine learning
• decision support systems
• advanced algorithms in medicine
• diagnostic artificial intelligence and machine learning