Lowering the Barrier to Surgical Research: Can Artificial Intelligence (AI) Support Trainees?
Michael Rouse, Yumna Kaleem, Justin M Yeung · 2026
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Description
Michael Rouse, Yumna Kaleem, and Justin M Yeung discuss in 2026 how artificial intelligence can lower barriers to research for surgical trainees. Research is now core to training, yet cost, time, thin mentoring, and ethics delays block many juniors. Their view maps AI help across each research stage.
Tools can aid idea shaping, literature search, protocol drafting, ethics forms in plain language, data extraction, and analysis code. The authors stress that AI should support, not replace, core skills like design judgement and critical reading. Risks and limits must stay in view for safe trainee use.
Catalog record
| CREATOR | Michael Rouse, Yumna Kaleem, Justin M Yeung |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 10670 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |