Will artificial intelligence make physicians obsolete? A debate published online on 7 November in the BMJ explores the question.
Dr. Jörg Goldhahn of the Institute for Translational Medicine at ETH Zurich, Switzerland, and colleagues discussed whether machines will ever completely replace doctors. The technology may prove to be more accurate than people at making diagnoses and performing surgical interventions, and has a "near unlimited capacity" for data processing and subsequent learning. It can also do this at a speed that humans cannot match, Goldhahn said in a statement released by the BMJ.
But colleagues Vanessa Rampton, PhD, of the McGill Institute for Health and Social Policy in Montreal, and Dr. Giatgen Spinas of University Hospital in Zurich argue that "machines will never replace doctors entirely because the interrelational quality of the doctor-patient relationship is vital and cannot be replicated."
"Computers aren't able to care for patients in the sense of showing devotion or concern for the other as a person, because they are not people and do not care about anything," Rampton and Spinas said in the statement. "Sophisticated robots might show empathy as a matter of form, just as humans might behave nicely in social situations yet remain emotionally disengaged because they are only performing a social role."














![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)



