Radiology Imaging Cancer Podcast | RSNA

Dr. Noreen Siddiqi speaks with Dr. Iwan Paolucci, Dr. Bruno Odisio, and Dr. Alda Lui Tam about the vital role clinical trials play in advancing interventional oncology and strengthening its position within multidisciplinary cancer care. Together, they explore how imaging, engineering, collaboration, and evidence generation are shaping the future of image guided cancer therapies and improving outcomes for patients.
Radiology: Imaging Cancer

Host Dr. Yashbir Singh sits down with Dr. Michael Wallace, a leader in advanced endoscopy and cancer detection, to discuss how imaging, artificial intelligence, and minimally invasive technologies are transforming the early diagnosis and treatment of gastrointestinal cancers. Drawing on decades of experience in pancreatic cyst research, AI enhanced endoscopy, and scientific publishing, Dr. Wallace shares insights on the future of cancer screening, the promise of radiomics, and why curiosity remains the foundation of a fulfilling research career.
Radiology: Imaging Cancer

Dr. Bahar Ataeinia sits down with Dr. Austin Pantel, recipient of an RSNA Research Scholar Grant, to discuss how dual tracer PET imaging and long axial field of view PET technology could transform cancer diagnosis and treatment. They also explore the power of mentorship, building a research niche, and practical advice for trainees pursuing successful academic careers.

Dr. Ghazal Zandieh sits down with renowned neuroradiologist and educator Dr. David Yousem to explore the foundations of a meaningful and successful career in radiology, from training and academic advancement to mentorship and leadership. Drawing on decades of experience, Dr. Yousem shares practical insights on clinical excellence, education, research, physician wellness, and the importance of building a life that balances achievement with purpose.
Radiology: Imaging Cancer

Dr. Yashbir Singh sits speaks with Dr. Imon Banerjee to explore how multimodal data and fair AI techniques are reshaping cancer imaging and clinical decision making. The conversation dives into bridging computer science and medicine, tackling bias in healthcare AI, and what it takes to translate innovation into real patient impact.
Radiology: Imaging Cancer