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Study analyzes how artificial intelligence system helps diagnose adverse childhood experiences A paper written by Arash Shaban-Nejad, PhD, MPH, an assistant professor, and Nariman Ammar, PhD, a postdoctoral fellow, both at the Center for Biomedical Informatics in the Department of Pediatrics at the University of Tennessee Health Science Center, was recently published in the Journal of Medical Internet Research - Medical Informatics. The paper discussed how an artificial intelligence system developed by the researchers was used to diagnose and treat children and adults who suffer from Adverse Childhood Experiences (ACEs). Their research study was named among the Top Milestones on Explainable AI In 2020. ....
E-Mail IMAGE: A paper written by Arash Shaban-Nejad, PhD, MPH, an assistant professor, and Nariman Ammar, PhD, a postdoctoral fellow, both at the Center for Biomedical Informatics in the Department of Pediatrics. view more Credit: UTHSC Memphis, Tenn. (January 5, 2021) - A paper written by Arash Shaban-Nejad, PhD, MPH, an assistant professor, and Nariman Ammar, PhD, a postdoctoral fellow, both at the Center for Biomedical Informatics in the Department of Pediatrics at the University of Tennessee Health Science Center, was recently published in the Journal of Medical Internet Research - Medical Informatics. The paper discussed how an artificial intelligence system developed by the researchers was used to diagnose and treat children and adults who suffer from Adverse Childhood Experiences (ACEs). ....