Sheela Agarwal, MD MBA
Dr. Sheela Agarwal joins Nuance from Bayer Healthcare Radiology, where she held the position of Digital Medical Advisor, acting as medical lead for the Digital Solutions Business. Prior to that, Dr. Agarwal held other leadership roles at Bayer including Head of the Digital Solutions Business and Head of Medical Affairs for region Americas. She is an experienced leader with a history of working in academics and industry, has written multiple AI-related publications through her work with the American College of Radiology DSI and was recently involved in establishing “AI Central,” the FDA-Cleared Algorithm Catalog. Dr. Agarwal completed her undergraduate and graduate degrees in Economics, as well as her MD from Duke University, her graduate radiology training subspecializing in abdominal radiology and MRI from Massachusetts General Hospital/Harvard Medical School and her MBA from the University of Chicago Booth School of Business. She continues to practice as an abdominal radiologist at Lenox Hill Radiology in New York City.
Sheela Agarwal, MD MBA’s stories
Harnessing outcomes-focused AI in radiology reporting: It all starts with the data

We often talk about the value of AI in radiology reporting, but AI can only deliver value if it provides meaningful, actionable insights that inform care and improve outcomes. To do that, AI needs a steady diet of high-quality, relevant data and advanced analytics to measure its performance. Many radiology organizations are starting to integrate […]

AI in Radiology, part 5: How to amplify the impact of radiology reporting

Last time, we examined how AI can serve as a reliable safety net—driving quality and follow-up care by helping to detect the things radiology can’t miss. As the industry continues to shift towards value-based care, radiologists have a golden opportunity to amplify their impact and demonstrate their value like never before. AI can help them seize […]

AI in Radiology, part 4: Transforming radiology reporting with AI that’s ‘got your back’

Earlier in the series, we focused on how AI helps alleviate some of the biggest causes of radiologist burnout by automating mundane tasks and surfacing hidden or hard-to-find information. In this article, we turn our attention to how AI-powered solutions can help ensure we capture and deliver the critical information needed to support personalized care […]

AI in Radiology, part 3: How can AI’s ‘super-vision’ reduce cognitive load in radiology reporting?

In the previous article in this series, we looked at how AI helps reduce administrative burdens in radiology reporting. But tiresome administrative tasks are just one factor in burnout; over the last couple of decades, imaging volumes have continued to grow, and the work has become more complex, increasing radiologists’ cognitive load. Radiologists are inundated with […]

AI in Radiology, part 2: How can AI unlock next-generation radiology reporting?

Diagnostic imaging is central to most healthcare journeys; it’s a field that’s a privilege to work in, but sometimes the workload can be overwhelming. Radiology workloads have increased by 300% over the last 15 years,1 so it’s unsurprising that 77% of practice leaders report that burnout is a problem.2 One of the major contributors to […]

AI in Radiology, part 1: Why it’s essential to have an integrated strategy

Nearly every patient story starts with an image. In fact, 80% of all hospital and health system visits include at least one diagnostic imaging study. Prompt, accurate imaging results are essential for determining appropriate care pathways, and any delay can have a dramatic impact on patient outcomes. Diagnostic imaging is integral to most healthcare journeys. But with increasing patient […]

Powering AI in radiology: The role of structured data

In a world of rising patient volumes and increasing provider burnout, the need for AI has never been greater. In radiology, AI-powered solutions can streamline workflow, allowing radiologists to focus on image interpretation instead of report creation while calling attention to important diagnostic clues locked in the pixels. It’s important to remember one of the […]

Open System Imaging empowers next-generation radiology reporting with PowerScribe One

Open System Imaging (OSI) is a network of radiologists that operates across five facilities in California. The outpatient practice provides a wide range of medical imaging, from ultrasound and X-rays to high-end CT and MRI scans. For many years, OSI was using a speech recognition plugin for reporting that integrated with its PACS system. But […]

Evaluating AI-driven analytics for radiology, part 2: What “good” looks like

Right now, AI is transforming radiology—whether it’s supporting diagnosis and care planning, enabling clinical research, or powering quality improvement initiatives. But the field of AI-driven analytics is often new to radiologists and their organizations. In my last post, we explained the technical terms that anyone shopping for a clinical analytics solution must understand to make […]

Evaluating AI-driven analytics for radiology, part 1: Understanding the lingo and the landscape

Having the right data at the right time has always been the key to better clinical and business outcomes. And today, AI-powered analytics solutions are helping providers across the care continuum collect, analyze, and act on data with unprecedented focus. In radiology, the pressure is on to deliver even more in even less time and […]

RSNA 2021: Reconnecting, redefining, and recognizing the challenges and opportunities ahead

Every year, the RSNA annual meeting provides exceptional opportunities to learn about emerging technologies, renew and expand our professional networks, and be challenged and inspired by the talented members of the radiology community. That’s especially true this year when we can reconnect in-person after a two-year hiatus, while still taking full advantage of the virtual […]