Event Speaker

Ali S. Tejani, MD

Clinical Fellow, Radiology

UCSF

Ali S. Tejani, MD is a Clinical Fellow in Radiology at the University of California, San Francisco. His academic interests include artificial intelligence, head and neck imaging, and imaging informatics. Dr. Tejani has published on AI integration in radiology, bias in machine learning models, standardized reporting, and radiology education. He previously served as Senior Chief Resident in Diagnostic Radiology at UT Southwestern Medical Center, where he led the Imaging Informatics & Business Intelligence Track (I2BIT).

Sessions

From Idea to App: Vibe Coding Primer for Imaging Informaticists

Presented by Ali S. Tejani, MD, Dharmam Savani, MS in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 10, 2026 | 4:15 PM.

Vibe coding, the practice of building functional tools through natural language prompts and AI-assisted development, is rapidly lowering the barrier to create their own solutions without formal programming training. This session combines a focused didactic overview of vibe coding concepts and best practices in healthcare contexts with a short, guided hands-on experience, giving participants a taste of…

If Clinicians Designed AI: Creating Seamless, Human-Centered Imaging Solutions

Presented by Ali S. Tejani, MD, Nina Kottler, MD, MS, FSIIM, Robert Slater, PhD, Mohammed Younis, MS, James T. Whitfill, MD, CIIP, FSIIM, Marc Kohli, MD, FSIIM in Ophthalmology, Radiology Jun 12, 2026 | 8:15 AM.

As AI portfolios in imaging continue to expand, many organizations find that deployment is moving faster than user education, workflow alignment, and thoughtful interface design. Attendees will explore why technically strong AI models often fail to deliver real efficiency gains when results are difficult to access, inconsistently presented, or poorly aligned with clinical workflows. The session establishes the core…