Media and Press.
Interviews, commentary, and features focused on clinical innovation, artificial intelligence in healthcare, and system transformation.
Recorded Interviews
Radiologists face a challenging environment today. Rising imaging volumes and chronic workforce shortages are making it more difficult to provide quality service. And legacy imaging IT solutions like PACS don't make things any easier. In this edition of The Imaging Wire show, we talk to leading radiology key opinion leaders on how new software tools can help by boosting the interpretation efficiency of radiologists. Our guests include Amy Thompson of Signify Research; Melissa Davis, MD, MBA of Yale University; Eric Pepin, MD, PhD, of Radiology Associates of North Texas; Nicholas Said, MD, MBA, of Duke University; and Long Tu, MD, PhD, of Yale University.
Artificial intelligence is revolutionizing radiology—but not without consequences. Hidden biases in AI systems can lead to misdiagnoses and deepen health disparities, especially for underrepresented communities. In this eye-opening episode of RadCentral, Dr. Melissa Davis, Associate Professor at Yale School of Medicine, unpacks the risks, the realities, and the road ahead for equitable AI in healthcare. Don’t miss this critical conversation at the intersection of technology, medicine, and justice.
In Episode #9 of Unboxing AI by CARPL.ai, Melissa A. Davis, MD, MBA, Medical Director of System Radiology Imaging Informatics, Yale New Haven Health, shares her insights on her career journey, the integration of AI in radiology, and the future of healthcare technology.
Artificial intelligence (AI) holds the promise for patients to access new and individualized healthcare pathways, while increasing efficiencies for healthcare practitioners. Radiology has been at the forefront of this technology in medicine, with many radiology practices implementing and trialing AI-focused products. AI holds great promise to reduce health disparities and promote health equity. Radiology is ideally positioned to help reduce disparities given its central and critical role in patient management.
Articles & Appearances
Bundling isn’t just for your streaming plans anymore. In radiology, new artificial intelligence tools are getting cleared by the Food and Drug Administration to check for multiple findings at once — sometimes more than a dozen in one go.
Artificial intelligence(AI) technologies are incredibly complex, but the ethics of implementing AI may be even more challenging. At Yale, these issues are being addressed from many different angles.
The rapid expansion of private equity (PE) in the healthcare sector has become an area of increasing interest and scrutiny, particularly within the field of radiology. Melissa A. Davis, MD, MBA, vice chair of medical informatics and associate professor at Yale University’s Department of Radiology and Biomedical Imaging, recently published research examining the extent of private equity’s penetration in radiology, revealing significant trends and potential implications for the industry.
A recent Yale study in the journal Clinical Imaging raises concerns over racial bias when Open AI’s GPT Chat 3.5 and GPT 4.0 are provided with patients’ race.
Howie and Harlan are joined by Melissa Davis, a Yale radiologist and a graduate of Yale SOM's MBA for Executives program, to discuss the 'whoa' moments and the weaknesses she has encountered using artificial intelligence to help interpret scans. Harlan reflects on the slow progress toward a healthcare system that rewards value rather than volume; Howie reports on new treatments for Alzheimer's disease.
But one of the health system's top clinical leaders for imaging informatics and radiology cautions that providers must maintain critical thinking when working with artificial intelligence.