Bias in AI-driven healthcare: A growing concern

WEBINAR • ONLINE EVENT

Managing bias in AI‑enabled medical devices

February 25, 2025 | 5:00 pm CET / 8:00 am PST

Bias in healthcare AI poses serious risks, from inequitable care to misdiagnoses for underrepresented groups. Studies reveal flaws in diagnostic tools for liver disease, cancer and organ transplants, driven by data, algorithmic and human biases. These biases stem from data-driven, algorithmic, and human factors, which leads to medical devices that are unfair to certain demographics and amplifies existing inequalities. To address this, AI-driven healthcare must prioritize inclusive data standards, transparent development practices and tools to detect and mitigate biases.

Join our webinar and master bias mitigation in AI-enabled medical devices

While AI drives unprecedented advancements in healthcare, hidden biases within AI systems risk unfair outcomes, diminished patient trust and complex regulatory challenges. This webinar, designed for medical device OEMs, focuses on actionable strategies for AI leads, product managers, regulatory experts and tech professionals to address bias at every stage of the product development lifecycle.

What you'll learn:

Bias vs fairness: Understanding data, human and engineering biases in AI systems
Mitigating bias across the AI lifecycle: Insights from ISO/IEC TR 24027 into bias detection, mitigation and fairness across all stages of the AI lifecycle — from data collection to system retirement
Fairness metrics: Tools and techniques for detecting and correcting bias

Reserve your spot today and be part of the conversation driving innovation and fairness in healthcare AI!

Why attend?

This webinar will equip you with actionable frameworks to build healthcare AI systems that are effective, ethical, inclusive and aligned with global standards. You’ll gain:

✓ Practical tools for identifying and reducing bias

✓ Compliance-ready strategies to meet complex healthcare regulations

✓ Guidance on transparency and trust-building to foster confidence in AI-driven healthcare

Master bias mitigation for AI-enabled medical devices!

Speaker

Antonina Burlachenko

Head of Quality and Regulatory Consulting at Star

Antonina is the Head of Quality and Regulatory Consulting at Star, with expertise in AI, medical device regulations, the software development lifecycle, quality assurance, project management, and product management. Antonina is a certified lead auditor for ISO 27001 and ISO 13485 and oversees quality management, information security management risk management (ISO 14971), and other compliance activities for Star’s clients.

As a trusted partner in responsible AI innovation, we offer: