[Isl] FW: CCI Guest Speaker Dr. Gregor Stiglic's talk on Health Data Science on September 13

[Neil Charness]

Hi Folks:

Upcoming presentation that would be of interest to those working in health care and AI.  See below.  Best, Neil

Neil Charness, Ph.D., William G. Chase Professor of Psychology
FSU Distinguished Research Professor
Director, Institute for Successful Longevity www.isl.fsu.edu<http:// www.isl.fsu.edu>
Department of Psychology, Florida State University
1107 West Call Street, Tallahassee, Florida, USA 32306-4301
Phone (office): 850-644-6686; Fax: 850-644-7739
E-mail: charness at psy.fsu.edu<mailto:charness at psy.fsu.edu>; http://www.psy.fsu.edu/~charness/
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From: Zhe He <zhe at fsu.edu>
Sent: Thursday, September 1, 2022 12:36 PM
To: Willard Edmonds <btedmond at fsu.edu>; Neil Charness <charness at psy.fsu.edu>
Subject: CCI Guest Speaker Dr. Gregor Stiglic's talk on Health Data Science on September 13

Hi, Dr. Charness and Bill,

Could you help advertise this seminar to ISL? Thanks very much!

Best
Zhe
--

Dear all,

CCI gladly invites you to attend a hybrid seminar by Dr. Gregor Stiglic, an Associate Professor and Head of the Research Institute at the University of Maribor (in Slovenia) Faculty of Health Science.

During Dr. Stiglic’s visit, he will be speaking on the topic of building interpretable AI models based on electronic health records (EHR) data for Type 2 Diabetes Mellitus prediction and screening. Dr. Stiglic will discuss their success in bringing the prediction models closer to the healthcare experts by involving family medicine physicians, nurse practitioners, patients, and computer science experts in the research process, and deploying the models in Slovenian primary healthcare. The current state of the art in interpretability of the prediction models will be demonstrated by examples from local and global model interpretability.

Come join us on September 13th from 11 A.M -12 P.M in the SSB Building Room 208, 218. If you are unable to physically be there, join us via zoom with the link below. Whether you decide to join us in person or via zoom, don’t forget to register for the event!

Light refreshments will be served at the conclusion of Dr. Stiglic’s presentation from 12:00-1:00p.m, so don’t forget stick around for any questions you might have.

Zoom Registration: https://fsu.zoom.us/meeting/register/tJ0pd-CsqDojEtQQ51voRSSeUqsYYSGHXil4

In person Registration: https://fsu.qualtrics.com/jfe/form/SV_4VDYW6vRHmGAGLI

Bio: Gregor Štiglic is an Associate Professor and Head of the Research Institute at the University of Maribor Faculty of Health Science. Since 2014, he has been working as the Vice Dean for Research at the same faculty, where he coordinates research work of various research groups. He led and worked on numerous research projects in the field of digital healthcare and the application of advanced methods of artificial intelligence in various fields of healthcare since 2003. As a visiting researcher, he conducted research at the Center for Data Analysis and Biomedical Analytics (Temple University, 2012), Stanford Center for Biomedical Research (Stanford University, 2013) and the Usher Institute (University of Edinburgh, 2019). In June 2021 he was appointed to the board of the Artificial Intelligence and Medicine in Europe (AIME) association, and in October 2021 to the board of the Slovenian Society for Medical Informatics (SDMI). His research collaboration with the University of Edinburgh researchers was recognized in March 2021 when he became Honorary Fellow at the Deanery of Molecular, Genetic & Population Health Sciences in the College of Medicine & Veterinary Medicine, University of Edinburgh. In the last 10 years, he worked as a research project proposals reviewer and panel member for different funding agencies such as EU Horizon Europe (2021), UKRI Medical Research Council (2020), The Netherlands Organisation for Scientific Research - NWO (2018), and The Research Council of Norway (2015).  Gregor serves as Associate Editor at Artificial Intelligence in Medicine (Elsevier), BMC Medical Informatics and Decision Making (Nature Springer) and Big Data (Mary Ann Liebert) journals as well as an editorial board member at PloS ONE (Public Library of Science), Journal of Healthcare Informatics Research (Nature Springer) and BMC Digital Health (Nature Springer).

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