Rethink Imaging

In this episode of Rethink Imaging, host Chris St. John welcomes back radiologist Dr. Ari Goldberg to discuss the ongoing debate between prospective and retrospective gating in cardiac CT. Dr. Goldberg breaks down how advancements like CTFFR have elevated the need for high quality imaging, the trade-offs between radiation dose and data completeness, and why modern scanner technologies are reshaping this clinical debate.

In this episode of Rethink Imaging, host Chris St. John sits down with Dr. Ehsan Samei to explore the paradigm shift of Medical Physics 3.0. Moving away from traditional machine-focused compliance, Dr. Samei breaks down why medical physics must shift directly toward patient-centric care, task-based image quality, and closer collaboration between radiologists, technologists, and physicists.

In this episode of Rethink Imaging, host Chris St. John sits down with medical physics legend Dr. Ehsan Samei to dissect why medical imaging often treats patients as population aggregates rather than individuals. Dr. Samei breaks down the hidden "degrees of freedom" in scan acquisitions, challenges the industry's reliance on rigid manufacturer default protocols, and outlines how physicists and radiologists can work together to deliver truly personalized, patient-centric care.

In this episode of Rethink Imaging, host Chris St. John sits down with Dr. Kalpana Kanal and Dr. Thomas Griglock to discuss the newly updated Diagnostic Reference Levels (DRLs) and Achievable Doses (ADs) published ten years after the benchmark 2014 study. Analyzing a massive dataset of 5.2 million CT exams from 2025, they break down the 22% reduction in national DRLs, explain why low dose isn't always good dose, and emphasize why clinical optimization and diagnostic image quality must take precedence over endless dose reduction.

In this episode of Rethink Imaging, host Chris St. John sits down with Dr. Nina Kottler, Associate Chief Medical Officer of Clinical AI at Radiology Partners. Moving past basic lesion detection, Dr. Kottler addresses the massive 10x capacity-volume mismatch causing severe turnaround delays across healthcare systems. She breaks down the shift from fragmented, narrow AI tools to agentic foundation models and explains why funding clinical AI governance is key to sustainable medical innovation.