Justin Schneiderman

Justin Schneiderman’s new assignment supports management in AI developments

In order to assist Sahlgrenska Academy researchers in staying up-to-date on this fast-developing field, their management has appointed MedTech West researcher Justin Schneiderman to serve as an AI advisor for the faculty.

In recent years, both competence and infrastructure for AI have taken great steps forward, among other things through the initiatives AI Sweden and Chalmers AI Research Center, Chair.

“The opportunities to conduct AI research in Gothenburg are excellent, and at Sahlgrenska Academy we must be careful to create good conditions for researchers and teachers to apply AI methodology in their research and teaching. Justin Schneiderman has great interest and knowledge in the field, and we are extremely pleased that he has accepted the assignment to help employees stay up to date and well informed about AI”, Vice Dean Henrik Hagberg comments.

“AI is an exciting area that is incredibly promising for the future. While it may not live up to all of the hype, it will clearly be a powerful tool for many people working in healthcare,” says Justin Schneiderman.

Justin is a senior lecturer in experimental multimodal neuroimaging and associate professor in experimental clinical neurophysiology. He is based at MedTech West and affiliated with Chalmers as a researcher in quantum device physics.

Enormous amounts of data

The only way for the health and medical care system as well as medical researchers to process the huge—and growing—volumes of data generated on patients is through development and implementation of technical solutions. Imaging is one example where new technologies result in increasingly high resolutions, both spatially and temporally.

“If we can interpret these huge amounts of data, we could potentially develop preventive methods, where we can predict risk before a negative health outcome develops. AI then becomes a tool that can boil down the data into something useful.”

Lots of AI activity

There are already many AI-related activities involving researchers at Sahlgrenska Academy. SCAPIS is, for example, an enormous project where researchers are using AI to find relevant aspects of large amounts of data collected from each test subject, such as x-ray and MR images, genetic information, and register data. There are also smaller studies that include AI, such as a project examining variations in heart rate that links these to the risk of stroke and another project analyzing patient records to identify words and patterns that can support early diagnosis of lung cancer.

Collaboration is key

Since AI software must be created based on the conditions for each project, networks and interdisciplinary collaboration are required.

“At this point, everyone knows that AI is important, but many are asking what has already been done, what is possible, and what they need to do to get started. My job is to help highlight interesting activities and projects, as well as meetings or other events, within AI to increase awareness and inspire efforts.”

Under the heading AI Nytt in Akademiliv (link below), Justin will be highlighting information and news about artificial intelligence that can be useful for staff at Sahlgrenska Academy.

Text: Elin Lindström, GU. Read the article in Akademiliv here.