This is a past event
Artificial intelligence (AI) is making a big leap in medical imaging analysis, offering a great deal of advancements in diagnosis, prognosis, and treatment planning. However, the deployment of AI in clinical practice demands not only technical excellence but also adherence to principles of responsibility and explainability to ensure trust and reliability. This talk explores the critical components of trustworthy AI in orthopedic imaging, emphasizing responsible and explainable AI practices that align with medical standards, regulatory frameworks, and ethical considerations. We will discuss the necessity of trustworthy AI in enhancing clinician interpretability and patient confidence. Through a case study in orthopedic imaging, we demonstrate practical applications and methodologies that reinforce the deployment of trustworthy AI, ultimately driving safer and more effective patient care.
- Speaker
- Ahmad Tafti
- Venue
- Meston G05 and Microsoft Teams