Determining accuracy of diagnosis and management of common presenting semen analyses using artificial intelligence programs
Baylor Price, Madeline Helm, Christopher M Deibert · 2025
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Description
Baylor Price, Madeline Helm, and Christopher Deibert grade two chatbots on semen analysis. Their 2025 paper feeds sample results, volume, acidity, count, and motility, to Google's Bard and to Bing. Each tool had to name three likely diagnoses and next steps. Cases ranged from normal to clear blockage and low-count patterns. Clinicians scored the answers.
Bard got half its reads right, Bing under a third. Bard led on first-guess accuracy, while Bing nailed next steps every time. Both always told the patient to see a doctor. The authors conclude that neither chatbot can yet guide patients reliably on fertility results. Tailored training sets are needed before such tools counsel anyone.
Catalog record
| CREATOR | Baylor Price, Madeline Helm, Christopher M Deibert |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 17 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |