AI in Radiology & Medical Diagnosis: Case Studies

Is AI an Opportunity or a Threat to Highly Trained Professionals? The Emerging Case Study from Radiology and Medical Diagnosis.

Hello, data scientists! Join us for a casual evening of drinks and learning about applications of machine learning in medicine.

We'll be at The Kerryman starting at 6:00pm, and the talk will start at 6:30pm.

Talk Description:
There has been a glut of recent articles predicting that the rise of AI will be lead to the mass elimination of entire classes of jobs. The jobs that have been singled out for possible decimation include highly trained professionals such as physicians, attorneys and accountants. On the other hand, some have argued that while AI will likely transform the jobs of highly skilled professionals, augmented intelligence wlll be a huge boon for them.

So.... is AI an opportunity or a threat to these professionals?

Join us for a talk that examines this question from the perspective of the radiologist. Radiology was the first medical specialty to convert to a completely digital workflow over two decades ago. A large component of their job is to analyze sets of highly specialized images (e.g., generated by x-ray, MRI and CT machines) and interpret the data in those images as medical diagnoses.

We will look at some of the ways that AI is being applied to the practice of radiology, some of the challenges inherent in applying AI to medical image diagnosis and share our perspective why we believe that AI creates a tremendous opportunity for radiologists to improve the practice of radiology.

Speaker Bios:
Ayis Pyrros is a board certified diagnostic radiologist and neuroradiologist, as well as being board certified in clinical informatics. He graduated from Jefferson Medical College and did his residency and fellowship at Northwestern Memorial Hospital. He has served on the RSNA informatics committee and currently serves on the ARRS informatics committee. He also consults for several companies including Sage Medical solutions and Emmi Solutions. In addition, Ayis has dabbled in the world of startups at 1871 and Matter, with his analytics company MDNetX. He currently works at DuPage Medical Group, where he is using machine learning and AI to help improve medical coding.

Randy Horton is Managing Principal and Founder of 94 Westbound Consulting. He is passionate about helping established organizations break through to their What’s Next by building new capabilities and launching new products and services that are both innovative and successful. Randy’s clients often have strong track records of incremental innovation that go back upwards of several decades. But today, these clients are nervously eyeing the pace of change in technology and business and worry that they will soon be Ubered, Amazoned or Googled by a company they have never even heard of. They have decided to take bold steps today to ensure that in five years it’s not too late to save their (currently profitable) companies from obsolesce in ten years. Their main challenge is that their talented teams often struggle to innovate within the confines of their current environments and past experiences. After investing in smart, dedicated staff to “think different,” the results often fall far short of what is needed. This is where Randy plugs in. He helps smart people and organizations that are ready to stop trying to innovate alone, get out of their own way and break through to their What’s Next. They collaborate on the full lifecycle of Product Strategy, Product Development and Product Execution. Randy’s recent work includes helping clients such as the American College of Radiology (ACR) apply AI to improving healthcare outcomes and lowering costs.