Sign up to save your podcasts
Or
Share AI in Medicine: Don't Get Caught Out For Your Interview
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
AI in Medicine: Don't Get Caught Out For Your Interview
AI in medicine is appearing in specialty training interviews across virtually every college right now. Most candidates haven't prepared for it — because it feels too new and too fast-moving to get a handle on.
This episode gives you a framework for answering AI questions even when you haven't specifically prepared for the topic, the current evidence base by specialty, the Australian regulatory landscape, and the ethical dimensions panels are increasingly testing.
What's covered:
→ The Australian TGA regulatory framework — what AI tools require ARTG registration, what the 2024–25 Government Safe and Responsible AI review changed, and what clinicians need to know before using AI tools in practice→ The evidence by specialty — radiology, cardiology, oncology, dermatology, with specific RCT data worth knowing→ The four ethical frameworks every interview expects — bias and health equity, explainability, consent and data privacy, accountability and liability→ Four model interview answers — including how to answer "will AI replace doctors?" without sounding naive or dismissive
This applies to JMOs preparing for specialty training interviews, IMGs preparing for PESCI and hospital interviews, and medical school applicants preparing for MMI.
🎧 AlexanderMedic: Australian Medical Interviews — free episodes every week on Spotify and Apple Podcasts.
Want to go deeper?
→ Premium podcast subscription — worked questions, model answers and scoring breakdowns: https://alexandermedic.supercast.com
→ 1:1 coaching, courses, and interview resources for Specialty Training Applicants , IMGs, and medical school applicants: https://alexandermedic.com
AI in medicine · artificial intelligence healthcare Australia · TGA AI regulation · ARTG medical device · machine learning clinical · deep learning radiology · AI cardiology · AI ethics medicine · health equity AI · specialty training interview · JMO interview · IMG interview Australia · MMI medical school · CANMEDs scholar role · CANMEDs health advocate · RACS interview · RACP interview alexandermedic
View all episodes
By AlexanderMedicAI in medicine is appearing in specialty training interviews across virtually every college right now. Most candidates haven't prepared for it — because it feels too new and too fast-moving to get a handle on.
This episode gives you a framework for answering AI questions even when you haven't specifically prepared for the topic, the current evidence base by specialty, the Australian regulatory landscape, and the ethical dimensions panels are increasingly testing.
What's covered:
→ The Australian TGA regulatory framework — what AI tools require ARTG registration, what the 2024–25 Government Safe and Responsible AI review changed, and what clinicians need to know before using AI tools in practice→ The evidence by specialty — radiology, cardiology, oncology, dermatology, with specific RCT data worth knowing→ The four ethical frameworks every interview expects — bias and health equity, explainability, consent and data privacy, accountability and liability→ Four model interview answers — including how to answer "will AI replace doctors?" without sounding naive or dismissive
This applies to JMOs preparing for specialty training interviews, IMGs preparing for PESCI and hospital interviews, and medical school applicants preparing for MMI.
🎧 AlexanderMedic: Australian Medical Interviews — free episodes every week on Spotify and Apple Podcasts.
Want to go deeper?
→ Premium podcast subscription — worked questions, model answers and scoring breakdowns: https://alexandermedic.supercast.com
→ 1:1 coaching, courses, and interview resources for Specialty Training Applicants , IMGs, and medical school applicants: https://alexandermedic.com
AI in medicine · artificial intelligence healthcare Australia · TGA AI regulation · ARTG medical device · machine learning clinical · deep learning radiology · AI cardiology · AI ethics medicine · health equity AI · specialty training interview · JMO interview · IMG interview Australia · MMI medical school · CANMEDs scholar role · CANMEDs health advocate · RACS interview · RACP interview alexandermedic