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Behavioral AI and a fully integrated toolset are critical elements for information protection.
Nearly all 20,000 of the healthcare cluster's staff readily used a new mobile application upon implementation.
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 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.
