Will AI replace Urologists?
Estimated risk score: 31 out of 100
Lower replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (12 to 50).
For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 29-1229.03 · Healthcare Practitioners and Technical
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 1 of its 14 rated tasks. In O*NET’s words.
- Document or review patients' histories.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 5 of its 14 rated tasks. In O*NET’s words.
- Perform abdominal, pelvic, or retroperitoneal surgeries.
- Perform brachytherapy, cryotherapy, high intensity focused ultrasound (HIFU), or photodynamic therapy to treat prostate or other cancers.
- Treat lower urinary tract dysfunctions using equipment such as diathermy machines, catheters, cystoscopes, or radium emanation tubes.
- Treat urologic disorders using alternatives to traditional surgery such as extracorporeal shock wave lithotripsy, laparoscopy, or laser techniques.
- Teach or train medical and clinical staff.
What the job is
Diagnose, treat, and help prevent benign and malignant medical and surgical disorders of the genitourinary system and the renal glands.
Also called: Urology MD (Urology Medical Doctor), Owner, Urology MD, Neurourologist, General Urologist, Urology Physician, Pediatric Urologist, Acute Care Physician.
Closest jobs we score by hand
In the same field (Healthcare Practitioners and Technical). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate