Will AI replace Cardiologists?
Estimated risk score: 40 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 (21 to 59).
For the occupation as a whole, from ratings of its 26 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 29-1212.00 · 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: 2 of its 26 rated tasks. In O*NET’s words.
- Calculate valve areas from blood flow velocity measurements.
- Compare measurements of heart wall thickness and chamber sizes to standards to identify abnormalities, using the results of an echocardiogram.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 8 of its 26 rated tasks; the first 6 are shown. In O*NET’s words.
- Administer emergency cardiac care for life-threatening heart problems, such as cardiac arrest and heart attack.
- Inject contrast media into patients' blood vessels.
- Perform minimally invasive surgical procedures, such as implanting pacemakers and defibrillators.
- Perform vascular procedures, such as balloon angioplasty and stents.
- Conduct tests of the pulmonary system, using a spirometer or other respiratory testing equipment.
- Diagnose cardiovascular conditions, using cardiac catheterization.
What the job is
Diagnose, treat, manage, and prevent diseases or conditions of the cardiovascular system. May further subspecialize in interventional procedures (e.g., balloon angioplasty and stent placement), echocardiography, or electrophysiology.
Also called: Cardiac Specialist, Cardiology Physician, General Cardiologist, Invasive Cardiologist, Pediatric Cardiologist, Noninvasive Cardiologist, Non-Invasive Cardiologist, Heart Failure Cardiologist.
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