The Landscape of AI Adoption in Medical Imaging - Challenges & Opportunities
ai-summit-london
Access

DataForce Presentation

[img]
CAPTCHA
Diese Sicherheitsfrage überprüft, ob Sie ein menschlicher Besucher sind und verhindert automatisches Spamming.

DataForce Panel: The Landscape of AI Adoption in Medical Imaging - Challenges & Opportunities

Location: AI Summit London

Date: June 15, 2022

Presenters:

Alexandros Poulis, Senior Director, AI, DataForce

Dickon Ross, Editor in Chief, Engineering & Technology (E&T)

Andrew Davies, Digital Health Lead, Association of British HealthTech

Professor Emily Jefferson, Director of Health Informatics Centre & Professor of Health Data Science, Health Informatics Centre, University of Dundee

Felix Beacher, Practice Leader, Healthcare Technology, Omdia

Pro Philip Evans, CVSSP and NPL Professor of Medical Radiation Imaging, Surrey University

Session Description:

One of the most promising areas of health innovation is the application of AI in medical imaging. There are many benefits of applying this technology, from enhancing medical screenings to lightening the load for physicians and promoting early intervention. However, challenges remain for wider adoption. How can healthcare and tech leaders ensure the AI technologies adopted are effective, reliable, ethical, and safe? When targeting everyday clinical use cases, how can we seamlessly integrate the AI tools into existing workflow? How can we balance data protection and data availability to promote innovation and continue to improve healthcare?