News | Artificial Intelligence | August 07, 2017

Xavier University Announces Healthcare Artificial Intelligence Summit

New Xavier Center for Artificial Intelligence will host event to accelerate adoption of AI in healthcare

Xavier University Announces Healthcare Artificial Intelligence Summit

August 7, 2017 — Xavier University has launched the Xavier Center for Artificial Intelligence (AI), a pioneering effort to accelerate the use of artificial intelligence to improve healthcare. The Center’s first major initiative will be the AI Summit on Aug. 24-25 on Xavier’s campus in Cincinnati. Xavier will lead representatives from the medical device and pharmaceutical industries and the U.S. Food and Drug Administration to further develop artificial intelligence to promote and protect patient health.

In addition to learning from each other, attendees will form working teams tasked with developing plans that apply AI to solve their quality, regulatory and supply chain challenges. They will continue to meet in the months after the summit and present their solutions at the 2018 AI Summit. Solutions from the summit will be available for free for any company or organization across the globe to implement.

Representatives from the FDA, Johnson & Johnson, AstraZeneca, Eli Lilly & Co., Abbott, Dell and IBM Watson Health will be among the speakers.

“We’re bringing together the major global players in artificial intelligence to focus on technology that could transform the healthcare industry,” said Marla Phillips, director of Xavier Health, which runs the Center for AI. “We believe the implementation of AI in the healthcare field is needed now more than ever.”

The Center for AI is a collaborative effort involving all three of Xavier’s colleges — Arts & Sciences, Professional Sciences and the Williams College of Business — presenting new academic opportunities for students across the campus.

AI could be used to improve patient safety, reduce drug costs, and avoid product and drug recalls, in addition to the advances being made in healthcare diagnostics, including the early detection of conditions such as dementia and depression.

AI Summit speakers will share how AI already is advancing healthcare, providing hope that AI will advance the diagnosis and treatment of complex conditions by putting powerful information in the hands of physicians. Participants also will learn how computers can be used to scan unstructured data to identify trends and patterns that humans are unable to detect. That can minimize failures in drug and product safety, moving organizations from reactive to predictive mindsets.

FDA officials will share the agency’s strategic priorities involving AI implementation to increase product quality and patient safety.

“Some people think that artificial intelligence is still just a concept, that its practical application is still years away,” Phillips said. “But it’s been used for years in many applications and has tremendous potential to make a difference in the pharmaceutical and medical device industries.”

Watch the VIDEO "Expanding Role for Artificial Intelligence in Medical Imaging."

For more information: www.xavierai.com

Related Content

Healthcare cybersecurity concerns have increased dramatically as EMRs and medical devices become more digitally connected.

Healthcare cybersecurity concerns have increased dramatically as EMRs and medical devices become more digitally connected.

Feature | Cybersecurity| August 18, 2017 | Dave Fornell
August 17, 2017 — Cybersecurity has become a growing concern in healthcare as patient data, medical systems and impla
Houston Methodist Hospital Enters Multi-Year Technology and Research Agreement With Siemens Healthineers
News | Cardiac Imaging| August 17, 2017
Houston Methodist Hospital and Siemens Healthineers have entered into a multi-year agreement to bring cutting-edge...
ScImage Awarded U.S. Government DIN-PACS IV Contract
News | PACS| August 16, 2017
ScImage Inc. was recently awarded a new DIN-PACS IV (Digital Imaging Network/Picture Archiving and Communications...
The FDA is concerned about cybersecurity of ICDs and cyber security of other medical devices.
Feature | Cybersecurity| August 16, 2017 | Dave Fornell
There is growing concern among patients and regulators that medical devices, especially implantable electrophysiology
Nuance Restores Service to Majority of eScription Clients Following Malware Incident
News | Information Technology| July 28, 2017
Nuance Communications Inc. provided an update on its restoration process following the previously reported June 27,...
The Centricity Cardio Enterprise (CCE) Interactive Guide offers information on GE's cardiovascular information system (CVIS)
News | Cardiac PACS| July 28, 2017
July 28, 2017 — GE Healthcare has released the eight-page...
WVU Medicine Deploys Enterprise PACS from ScImage
News | Cardiac PACS| July 24, 2017
ScImage Inc. recently announced West Virginia University Health System has partnered with ScImage to utilize ScImage’s...
TomTec Unveils TomTec Zero Cardiovascular Viewing Software
Technology | Remote Viewing Systems| July 24, 2017
TomTec Zero is the latest addition to the TomTec portfolio. Now every physician reading cardiovascular studies at...
CareSelect Declared Fully Qualified Clinical Decision Support Mechanism by CMS
News | Clinical Decision Support| July 18, 2017
National Decision Support Company announced the full qualification of its CareSelect Platform as a Qualified Clinical...
Automated medical imaging views using deep learning, artificial intelligence, Philips Epiq

GE, Siemens and Philips are among the echocardiography vendors that incorporate deep learning algorithms into its echo software to help automatically extract standard imaging views from 3-D ultrasound datasets. This is an example of the Philips Epiq system, which uses the vendor's Anatomical Intelligence software to define the anatomical structures and automatically display standard diagnostic views of the anatomy without human intervention. This can greatly speed workflow and reduce inter-operator variability. 

Feature | Artificial Intelligence| July 17, 2017 | Oksana Bandura
Medical image analysis based on artificial intelligence (AI) employ convolutional neural networks, support vector mac
Overlay Init