How AI, Theranostics and More Empowered Patients Have Led to Significant Changes in Radiology
In a recent interview, Phillip Koo, MD, discussed emerging trends with AI, theranostics and empowered patients, and how these developments may lead to challenges and potential opportunities for radiologists and nuclear medicine physicians.
While radiologists and nuclear medicine physicians historically have not had a great deal of direct interaction with patients, Phillip Koo, MD, says a confluence of events and trends have led to significant changes.
As Dr. Koo pointed out in a recent interview with Diagnostic Imaging, the rise of theranostics has presented nuclear medicine physicians with “a really amazing opportunity to participate in longitudinal care and be that patient-facing physician (who) really adds value to the health-care delivery team.” He also noted that the 21st Century Cures Act, which has enabled patient access to radiology reports “many times before the referring physicians would read” them, and the increasing utilization of AI has led to a more empowered patient.
“These are all new questions that we need to deal with. But in the end, even though we may not be as face-to-face with the patients, we need to think (and) practice like we are, whether it's virtually and perhaps even physically in the future,” posited Dr. Koo, the executive vice president and chief medical officer for the Prostate Cancer Foundation.
Why the HLTH USA Conference Matters
Dr. Koo will be discussing empowered patients during a session at the upcoming
The Opportunity for Radiologists and Nuclear Medicine Physicians in Facilitating Precision Medicine
While Dr. Koo called the emergence of theranostics “probably the biggest advancement in our generation when it comes to oncology,” he also expressed enthusiasm with radiologists and nuclear medicine physicians possibly being at the center of facilitating improved precision medicine with predictive models.
“(It’s) understanding the imaging (and) analyzing the imaging to a deeper level so that we can build prognostic, but more importantly, predictive models on how patients will respond,” encouraged Dr. Koo.
(Editor’s note: For related content on the HLTH USA conference, click
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