**The Convergence of Human and Artificial Intelligence on Clinical Care - Part I**

Editor **Vida Abedi**

MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade • Manchester • Tokyo • Cluj • Tianjin

*Editor* Vida Abedi Public Health Sciences The Pennsylvania State University Hershey United States

*Editorial Office* MDPI St. Alban-Anlage 66 4052 Basel, Switzerland

This is a reprint of articles from the Special Issue published online in the open access journal *Journal of Clinical Medicine* (ISSN 2077-0383) (available at: www.mdpi.com/journal/jcm/special issues/Artificial Intelligence on Clinical Care).

For citation purposes, cite each article independently as indicated on the article page online and as indicated below:

LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. *Journal Name* **Year**, *Volume Number*, Page Range.

**ISBN 978-3-0365-3296-7 (Hbk) ISBN 978-3-0365-3295-0 (PDF)**

© 2022 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications.

The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND.

## **Contents**


Reprinted from: *J. Clin. Med.* **2021**, *10*, 2513, doi:10.3390/jcm10112513 . . . . . . . . . . . . . . . . **113**


## **About the Editor**

### **Vida Abedi**

Dr. Abedi, Associate Professor at the Penn State College of Medicine, has a multidisciplinary background. Dr. Abedi has a Bachelor of Science in Biochemistry and a Bachelor's in Computer Engineering. She also has a Master's in Cellular and Molecular Medicine and a Master's in Bioinformatics. Dr. Abedi's Ph.D. degree is in Computer and Electrical Engineering. Given the years of experience and a unique fusion of expertise, Dr. Abedi has made a significant contribution to applied AI in healthcare. She is the AI lead on several funded studies aiming to bring predictive modeling to clinical settings to improve outcomes and reduce care gaps and health disparity.
