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Aranzazu Vinas on Muck Rack

Aranzazu Vinas

As seen in: Nature, PLOS
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Articles

Doctors vs. Algorithms: Physicians, too, struggle to learn from evidence that contradicts AI suggestions

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By Aranzazu Vinas, Fernando Blanco, Helena Matute
| PLOS
Loading metrics Open Access Peer-reviewed Research Article Citation: Vinas A, Blanco F, Matute H (2026) Doctors vs. Algorithms: Physicians, too, struggle to learn from evidence that contradicts AI suggestions. PLOS Digit Health 5(7): e0001490. https://doi.org/10.1371/journal.pdig.0001490 Editor: Po-Chih Kuo, National Tsing Hua University, TAIWAN Received: October 15, 2025; Accepted: May 21, 2026; Published: July 9, 2026 Copyright: © 2026 Vinas et al.
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The combined effect of patient classification systems and availability of resources can bias the judgments of treatment effectiveness - Scientific Reports

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By FERNANDO BLANCO, Helena Matute, Aranzazu Vinas
| Nature Verified
Abstract Patient classification systems (PCS) support clinical decision-making but may rely on incorrect, outdated, or insufficient data. Doctors can sometimes override errors using their experience. However, certain factors such as scarcity of resources could lead to reliance on incorrect PCS recommendations, with consequences for patients. We conducted two experiments where participants interacted with a PCS that incorrectly classified fictitious patients as more or less sensitive to a treatment.
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