Dartmouth event bats around promise, shortcomings of AI in healthcare
Dartmouth's Center for Precision Health and Artificial Intelligence held its first symposium April 3 featuring leaders from radiology, pathology, and more.
A keynote delivered by Curtis Langlotz, MD, PhD, professor of radiology, medicine, and biomedical data science at Stanford University, summarized that AI algorithms can assist radiologists at every step of the imaging process.
"There are aids that can provide inputs to help decide which imaging tests to order; programs to enhance image quality, making it possible to reduce radiation doses used in imaging; tools that instantaneously detect imaging problems to ensure that faulty images are retaken right away; applications that conduct basic triage to identify cases that may need immediate attention; and virtual assistants that help with reporting observations and following up with patients," Dartmouth shared in a blog post.
Langlotz's laboratory investigates the use of deep neural networks and other machine-learning technologies to detect disease and eliminate diagnostic errors through analysis of medical images and clinical notes. He also serves as associate director of Stanford’s Institute for Human-Centered Artificial Intelligence and as director of the Center for Artificial Intelligence in Medicine and Imaging.Curtis Langlotz, MD, PhD, professor of radiology, medicine, and biomedical data science at Stanford University, was among the keynote speakers at the Dartmouth event April 3. Photo courtesy of Dartmouth.
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Source: AuntMinnie.com Headlines - Category: Radiology Authors: AuntMinnie.com staff writers Tags: Practice Management Imaging Informatics Industry News Source Type: news
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