Will AI replace Cytotechnologists?
Estimated risk score: 33 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 (14 to 52).
For the occupation as a whole, from ratings of its 13 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 29-2011.02 · 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 13 rated tasks. In O*NET’s words.
- Document specimens by verifying patients' and specimens' information.
- Attend continuing education programs that address laboratory issues.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 4 of its 13 rated tasks. In O*NET’s words.
- Adjust, maintain, or repair laboratory equipment, such as microscopes.
- Assist pathologists or other physicians to collect cell samples by fine needle aspiration (FNA) biopsy or other method.
- Prepare cell samples by applying special staining techniques, such as chromosomal staining, to differentiate cells or cell components.
- Maintain effective laboratory operations by adhering to standards of specimen collection, preparation, or laboratory safety.
What the job is
Stain, mount, and study cells to detect evidence of cancer, hormonal abnormalities, and other pathological conditions following established standards and practices.
Also called: Cytology Coordinator, Cytology Applications Specialist, Certified Cytotechnologist, Cytopathology Technologist, Cytology Technical Specialist.
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