Trainees and trainers hold mixed views on AI-generated heat maps for postoperative coaching¶
Claim · All claims
Evidence · 1 study · reviewr2·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? In the single qualitative study, 73% of trainees and trainers strongly agreed that AI-generated heat maps showing safe and unsafe dissection could be effective for postoperative coaching and feedback, but 40% reported they would not use it routinely. → Dick L 2024
Evidence¶
Dick L 2024¶
Dick L, Boyle CP, Skipworth RJE, Smink DS, Tallentire VR, Yule S. (2024). Automated analysis of operative video in surgical training: scoping review. BJS Open. https://doi.org/10.1093/bjsopen/zrae124
q2 · i? · review · r2
The review reports the one included qualitative study (Hameed et al.), which surveyed trainees and trainers on AI-generated heat maps for laparoscopic cholecystectomy. It reports mixed opinions, with some raising "concerns over potential dependence on it for making intraoperative decisions".
"Trainees and trainers strongly agreed (73%) that their use after surgery for coaching and feedback could be effective. Most suggested that heat maps should be incorporated in the surgical training curriculum, particularly for those at an earlier stage in training. However, 40% reported that, even if readily available, they would not use it routinely."
Discussion¶
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Page metadata
| Field | Value |
|---|---|
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review |
generated |
by process:wiki-ingest on 2026-10-31 |
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