This week on The Digital Pulse, we sat down with @DBatesSafety and Luciana D’Adderio to ask how AI is transforming diagnosis. We got into why AI may reverse the traditional diagnostic process, whether clinicians can resist automation bias when the AI answer arrives first, what trainees lose if they never learn on legacy imaging, and how patients using AI at home are changing the doctor-patient relationship. And whether the doctor’s job is to make the diagnosis—or verify it. Timestamps: 00:00 Intro 01:43 How AI is changing diagnosis 02:49 Studying stroke AI in Scotland 05:20 AI reverses the diagnostic process 07:33 How stroke AI reads the scan 11:21 Speeding care in rural Scotland 11:54 A faster pace of change than ever before 13:49 AI in its real context of use 17:39 Training in the AI era 18:09 Confirmation bias and diagnostic error 22:13 Verifying the AI output 24:11 Automation bias and “don’t believe the beautiful picture” 26:40 What junior clinicians could lose 27:35 Patients using AI at home 29:20 The physician as advisor 31:00 Health anxiety and somatization 33:00 “Vibe diagnosing” and the last mile 34:48 AI is too eager to please 35:37 AI in mammography 37:28 A broader revolution in diagnosis Hosted by @BenMazer and @sammargolis_. Produced by @danielkimjung.