Karen Feinstein Speaks at Auton Lab’s 30th Anniversary Celebration
Type: News
Focus Area: Patient Safety
Panelist Gilles Clermont, Cara Jones, and Karen Feinstein discuss applications of AI/ML.
The Auton Lab 30th Anniversary celebration was held September 8 at Carnegie Mellon University, including presentations from the illustrious alumni of Auton Lab, panel discussions with some of the region's leading informatics and technology leaders and researchers, and a poster session featuring the current research at Auton Lab.
Dr. Karen Wolk Feinstein, president and CEO of the Jewish Healthcare Foundation and Pittsburgh Region Health Initiative (PRHI) sat on the panel "AI/ML with Impact." Moderated by Jeff Schneider, the panel also included Cara Jones, William King, and Gilles Clermont. The discussion focused on current innovations and applications of AI and ML to solve challenging problems in a variety of industries, including health care. Dr. Feinstein called out the work of Auton Lab to support The Enhanced Detection System for Healthcare-Associated Transmission System and the ongoing work of the RAPS initiative to foster more patient safety technology innovations.
HackAuton winners (from left to right): Charlie Sun, Minh Tran, and HackAuton organizer Jack Good.
The Auton Lab at Carnegie Mellon University is a leading research facility focused on artificial intelligence and machine learning. Its interdisciplinary team of experts collaborates to develop cutting-edge algorithms and systems that solve complex real-world problems.
PRHI, as part of its Patient Safety Technology Challenge, was also an event sponsor for the Auton Lab HackAuton held Sept. 15-17. HackAuton provided CMU students with the opportunity to engage with lab members, apply their skills, work with peers, learn from mentors, and tackle an exciting challenge in competition for a prize.
The winning team's focus was Prescription Evaluation using GPT4 and openFDA where they created a demo of a prescription checker that used artificial intelligence which would reduce human oversight and improve effectiveness. Team members include Charlie Sun and Minh Tran.