Tuesday May 26, 2026
Attrayee (Atty) Chakraborty, will present “Case Study: Engineering Safety for AI-Enabled Medical Applications”
Venue: Lenzi's Catering & Function Facility, Dracut, MA 01826
Time: 5:30 pm to 8:00 pm
Registration: https://mp.gg/ssxvwgrbo
This is a joint meeting of Granite State and Merrimack Valley ASQ sections.
Description:
The FDA has introduced the Early Alerts program and issued warning letters for AI device misclassification, signaling heightened enforcement in this area. While FDA guidance focuses on risk elements to be included in a submission, this talk will emphasize the "how" to create and implement a comprehensive risk management file for an AI-enabled medical device—comprising a risk management plan, risk assessment, and risk management report.
We will demonstrate how Failure Modes and Effects Analysis (FMEA) can systematically identify, assess, and mitigate AI-specific risks such as algorithmic bias, data drift, and unintended behaviors, illustrated through a case study of an AI-enabled medical device. Attendees will learn how FMEA aligns with ISO 1497/AAMI 34971 and engineer safety through the total product lifecycle (TPLC). Drawing on FDA’s latest guidance on AI-enabled device software functions and lifecycle management, we highlight the need to integrate risk management, data quality assurance, algorithm transparency, and post-market monitoring across the total product lifecycle, enabling robust compliance and patient safety.