Breaking Barriers of Artificial Intelligence and Machine Learning in Digital Health

Panel Session

Authors

  • Tarun Mohan Lal, Vice President, Chief Analytics and Solutions Officer, Navicent Health
  • Bradley J. Erickson, MD, PhD, Professor of radiology, Mayo Clinic College of Medicine and Science in Rochester, Minnesota, Mayo Clinic
  • Elad Walach, CEO, Aidoc, Israel

DOI:

https://doi.org/10.30953/tmt.v7.343

Keywords:

Ai and ML in digital health, digital health data variability, training AI algorithms, digital health deployment

Abstract

As the pace of innovation and adoption in healthcare runs at light speed, we now need to consider deployments and operationalizing tech as this lags today. Panelists will share challenges from a case use, data variability factors, how to build tools and clean data to train algorithms, workflows and what the best impact for healthcare is.

Downloads

Download data is not yet available.

Downloads

Published

2022-07-01

How to Cite

Mohan Lal, Vice President, Chief Analytics and Solutions Officer, Navicent Health, T. ., Erickson, MD, PhD, Professor of radiology, Mayo Clinic College of Medicine and Science in Rochester, Minnesota, Mayo Clinic , B. J. ., & Walach, CEO, Aidoc, Israel , E. . (2022). Breaking Barriers of Artificial Intelligence and Machine Learning in Digital Health: Panel Session. Telehealth and Medicine Today, 7(4). https://doi.org/10.30953/tmt.v7.343

Issue

Vol. 7 No. 4 (2022): ConVerge2Xcelerate (ConV2X) 2021 Symposium Proceedings Issue: Part II

Section

Conference Presentations

License

Copyright (c) 2022 Tarun Mohan Lal, Vice President, Chief Analytics and Solutions Officer, Navicent Health, Bradley J. Erickson, MD, PhD, Professor of radiology, Mayo Clinic College of Medicine and Science in Rochester, Minnesota, Mayo Clinic , Elad Walach, CEO, Aidoc, Israel

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors retain copyright of their work, with first publication rights granted to  Telehealth and Medicine Today (THMT).

THMT is published under a Creative Commons Attribution-NonCommercial 4.0 International License.