Do ChatGPT and Gemini provide accurate answers to patient questions about glenohumeral arthritis?
Ohlsen SM; Pirkle SB; Yang J; Gee AO; Hsu JE · 2026 · JSES reviews, reports, and techniques
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Background Machine learning, a subset of artificial intelligence, enables large language models (LLMs) like ChatGPT and Gemini to analyze data, learn from context, and generate responses without explicit programming. While machine learning…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Europe PMC · DOI 10.1016/j.xrrt.2026.100715