Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer

Explainability is key to enhancing the trustworthiness of artificial intelligence in medicine. However, there exists a significant gap between physicians’ expectations for model explainability and the actual behavior of these models. This gap arises from the absence of a consensus on a physician-cen...

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Veröffentlicht in:	Artificial intelligence in medicine 2024-08, Vol.154, p.102929, Article 102929
Hauptverfasser:	Kobayashi, Kazuma, Takamizawa, Yasuyuki, Miyake, Mototaka, Ito, Sono, Gu, Lin, Nakatsuka, Tatsuya, Akagi, Yu, Harada, Tatsuya, Kanemitsu, Yukihide, Hamamoto, Ryuji
Format:	Artikel
Sprache:	eng
Schlagworte:	Explainability Human-centered artificial intelligence Multimodal transformer Rectal cancer Uncertainty
Online-Zugang:	Volltext
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