Teaching Radiologists for an AI-First World with Ali Tejani скачать в хорошем качестве

Teaching Radiologists for an AI-First World with Ali Tejani

Radiology education is at an inflection point. Dr. Ali Tejani joins Rethink Imaging to explore how artificial intelligence, digital learning, and changing trainee expectations are transforming how radiologists are trained.  He argues that programs that fail to introduce AI education are doing trainees a disservice, not because radiologists must become engineers, but because they must understand how to safely, ethically, and effectively use AI in real clinical environments. Ali reflects on his journey into radiology, his early passion for teaching, and how frustration with fragmented AI learning resources led him to help build structured curricula and national training programs. He breaks down why modern learners gravitate toward case-based learning, flipped classrooms, podcasts, and social media and why education must be personalized rather than monolithic. The discussion also tackles harder questions: how to introduce AI early without deskilling trainees, how to create psychologically safe learning environments, and why educators must shift from “hot seat” teaching to collaborative peer learning. Ali emphasizes that AI education should focus on pitfalls, bias, automation risk, and workflow integration, so radiologists graduate ready to practice with or without AI support. Ali closes with a call to action for both trainees and educators: stay curious, advocate for better resources, and ensure AI is placed in trainees’ hands early, within controlled environments that protect patient care while accelerating learning. What You’ll Learn: • Why radiology programs must include AI education now • How AI will impact every radiology practice setting • Why being a critical AI user matters more than coding skills • How generational learning preferences are reshaping education • The rise of podcasts, social media, and micro-learning in radiology • How flipped classrooms and case-based learning improve retention • The risks of deskilling and how to introduce AI responsibly • Why psychological safety matters in radiology training • How social media can be used responsibly for medical education • What trainees and educators can do today to prepare for the future Chapters: • [00:00] Why AI Education Is No Longer Optional • [00:21] Introducing Dr. Ali Tejani • [01:31] What Drew Ali to Radiology • [03:17] When Teaching Became a Core Passion • [06:43] Launching an Informatics & AI Track in Residency • [10:20] Generational Differences in Learning • [14:01] Digital Content, Podcasts & Micro-Learning • [16:25] National Imaging Informatics Course Trends • [19:20] Case-Based Learning vs Traditional Didactics • [21:26] Psychological Safety & Peer Learning • [23:23] Social Media in Radiology Education • [28:06] Separating Signal from Noise Online • [30:06] The Future of CME & Interactive Learning • [31:34] What Radiologists Really Need to Know About AI • [35:38] Avoiding Deskilling While Teaching AI • [38:54] Advice for Trainees & Educators • [42:27] Where to Find Ali & Final Thoughts Frame by Frame: Rethink Imaging Podcast is handcrafted by our friends over at: fame.so (https://www.fame.so/)