Instructor: David Schuff, Section 003


AI Cardiologist Aces Its First Medical Exam

Rima Arnaout, an assistant professor and practicing cardiologist at UC San Francisco, created a neural network that outperformed human cardiologists in a task involving heart scans. She does not think the AI she created is ready to replace human cardiologists yet, but it was easily able to complete the first step in what a cardiologist does when evaluating an echocardiogram. The AI only performed this first step in the analysis of a heart image and the making of a diagnosis; however, Arnaout is now working to improve this technology so it can take the next steps to identify different diseases and heart problems. Experimental artificial intelligence systems are making rapid progress in the medical realm, so there could be major changes in the medical field in the near future. Despite the advances being made with AI in medicine, most people still want to see a human doctor when they have a health condition. Do you think we will ever get to a point where the majority of the population is comfortable being diagnosed by a machine and not a doctor? Will AI decrease job opportunities in the medical field in the near future?


Medical Imaging Devices can be hacked too

hacker photo

Cybersecurity researchers in Israel found out that hacks against Medical Imaging devices are increasing where hacks targeting MRI and CT scanning have the greatest risk. The reason these cyber attacks pose a huge risk is that they can be fatal if a tumor is added in error or there is any delay of analysis. Unfortunately for the hospital staff and patients, strict regulations don’t allow to keep these machines updated due to potential software incompatibility and bugs. System thinking can and should be applied in order to effectively solve many of security threats in the healthcare industry. Hackers tend to understand human habits and the interdependence of systems which allows them to exploit multiple systems in one breach. In order for security to improve, medical IT employees should start viewing their systems as interdependent structures rather than separate systems when configuring and implementing new technologies. While it’s incredibly hard to manage risk of code defects, hospitals can use system thinking to minimize potential breaches by keeping their systems updated and ensuring that the entire system is configured in an isolated manner while flexible enough to work with other systems at the same time. How do you think hospitals can address this issue using system thinking?

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