Media and Press.
Interviews, commentary, and features focused on clinical innovation, artificial intelligence in healthcare, and system transformation.
Recorded Interviews
Microsoft's retirement of PowerScribe created an inflection point across radiology. Yale New Haven Health's response shows how academic health systems are using the moment to redesign workflows instead of simply replacing software.
The radiology reporting segment is making news at SIIM 2026. Rad AI made headlines of its own by announcing a new deployment of its reporting solution at Yale New Haven Health System. We talked to Rishi Seth, MD, of Rad AI and Melissa Davis, MD, of Yale New Haven at the show.
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
Yale New Haven Health is replacing its legacy radiology reporting system with a cloud-based platform, aiming to streamline workflows, integrate AI tools, and improve radiologist well-being.
Melissa Davis, MD, MBA, is vice chair of medical informatics and an associate professor in the Department of Radiology and Biomedical Imaging at Yale University in New Haven, CT.
As artificial intelligence reshapes radiology reporting and workflow, many health systems see an opportunity to modernize legacy infrastructure and reduce administrative burden for radiologists.
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.
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.