Recent advances in artificial intelligence (AI) have revolutionized the healthcare sector, with intelligent AI programs having been applied to clinical practice including making diagnoses, developing personalized treatment and drugs, assisting in patient monitoring, automating administrative tasks and reducing operational costs. The use of AI and machine learning techniques in the ever-increasing quantity of healthcare data presents a variety of opportunities, but also a number of daunting challenges, such as algorithmic bias and unfairness, limited interpretability of black boxed algorithms, the concern of privacy and security issues and the lack of data standardization. These challenges have slowed the process of leveraging healthcare data, which in turn leads to the limited deployment of AI models in clinical practice.

To embrace the challenges and opportunities related to AI in healthcare, this Special Issue aims to encourage submissions detailing recent advances in designing and deploying AI-powered healthcare systems that present the fundamental theory, techniques, applications, and practical experiences in the fields of healthcare and medicine, as well as relevant AI research endeavors in this area. Please note that well-prepared papers approved for publication may be eligible for applying discounts and fee waivers. The topics covered by this Special Issue include, but are not limited to:

• Data mining and knowledge discovery in healthcare
• Medical expert systems
• Machine l-earning in healthcare
• Clinical decision support systems
• Text mining and natural language processing in medical documents
• Medical imaging
• Deep learning applications in healthcare
• Predictive modelling for personalized treatment  
• Medical recommender systems
• Intelligent systems for electronic health records
• Computational intelligence for healthcare
• Intelligent medical devices and sensors
• Visual analytics for healthcare
• Computer-aided diagnosis

Dr. Tianhua Chen
Dr. Pan Su
Dr. Yinghua Shen
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 quarterly 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
• machine learning
• healthcare informatics
• deep learning
• bioinformatics
• AI in medicine