Clinical Studies, Big Data, and Artificial Intelligence in Medicine

Dear Colleagues, 

In recent years, artificial intelligence has increasingly played an essential role in diverse areas in medicine, helping clinicians in patient management. In healthcare, artificial intelligence can be utilized to enhance clinical care, such as health monitoring, drug development, management of medical data, disease diagnostics, digital consultation, personalized treatment, analysis of health plans, surgical treatment, and medical treatment. Furthermore, there are rapidly expanding applications and validations of comprehensive, computerized medical records and related databases, including national registries, health insurance, and drug prescriptions.

In this Topical Collection, we inviting researchers and clinicians to submit their invaluable works including original clinical research (single- or multi-center), database studies from registries, meta-analyses, and artificial intelligence research in medicine and subspecialties that will provide additional knowledge and skills in medicine to improve patient outcomes.

Potential topics include but are not limited to the following:

• Challenges and promises of machine learning-based risk prediction modelling in cardiovascular disease;
• Machine learning methodologies for identification and triage of heart failure exacerbations;
• Systematic reviews with meta-analyses: effect of inflammatory bowel disease therapy on lipid levels;
• Outcomes in patients with acute myocardial infarction and history of illicit drug use: a French nationwide analysis;
• Alcohol use and development of chronic kidney disease: a nationwide database analysis;
• Association of race and poverty with mortality on maintenance dialysis using the United States Renal Data System database;
• Prevention of contrast-induced acute kidney injury in patients undergoing cardiovascular procedures—a meta-analysis;
• Systematic reviews and meta-analyses of narrow band imaging for non-muscle-invasive bladder cancer;
• Systematic reviews and meta-analyses of renal replacement therapy modalities for acute kidney injury.

Dr. Wisit Cheungpasitporn
Dr. Charat Thongprayoon
Dr. Wisit Kaewput
Dr. Pattharawin Pattharanitima
Collection 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 250 words) can be sent to the Editorial Office for assessment.

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. Medicina 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 2200 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.