Artificial Intelligence
As RSNA kicks off in Chicago, here's a roundup of some recent radiology and imaging IT announcements.
The new deep learning model outperforms biomedical imaging analysis in understanding disease progression, pediatrics researchers at Children's Hospital of Philadelphia say.
It features speech-to-text and an AI that identifies high-risk findings from slide images.
TrialGPT could help providers navigate the vast and ever-changing range of clinical trials available to their patients by finding, ranking and explaining why a patient is matched, the agency says.
A pilot validation study found that the AI helped hasten case reviews and data analysis and determine the necessity of antibiotic use.
The interdisciplinary center will combine artificial intelligence with data science and genomics at Mount Sinai Hospital in New York City.
Ella is powered by Ema and functions as a personal-engagement platform where patients can learn from other patients with similar experiences.
The research shows how data integrity issues at every stage – training, model development, publication, implementation – can adversely impact patient outcomes, say clinicians at Yale School of Medicine.
Mark Polyak, president of analytics at IPSOS, and Dr. Lukasz Kowalczyk, a gastroenterolgy physician, offer a data-driven discussion about how patients feel about artificial intelligence, and how they want it used in their care.
Improving the care experience through technology is at the core of the cardiovascular center's values, says its CIO – who describes how the two-hospital system uses patient feedback to focus on optimal care delivery, and has the accolades to prove it.
