Epistemological Challenges of Artificial Intelligence Clinical Decision Support Tools in Otolaryngology: The black Box Problem

Christopher S Babu; Floyd Christopher Holsinger; Lena Zuchowski; Emanuele Ratti; Anaïs Rameau

doi:10.1002/ohn.410

Epistemological Challenges of Artificial Intelligence Clinical Decision Support Tools in Otolaryngology: The black Box Problem

Christopher S Babu, Floyd Christopher Holsinger, Lena Zuchowski, Emanuele Ratti, Anaïs Rameau^*

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

9 Citations (Scopus)

Original language	English
Pages (from-to)	1697-1700
Number of pages	4
Journal	Otolaryngology: Head and Neck Surgery
Volume	169
Issue number	6
Early online date	21 Jun 2023
DOIs	https://doi.org/10.1002/ohn.410
Publication status	Published - 21 Nov 2023

Bibliographical note

Funding Information:
Anaïs Rameau was supported by a Paul B. Beeson Emerging Leaders Career Development Award in Aging (K76 AG079040) from the National Institute on Aging and by the Bridge2AI award (OT2 OD032720) from the NIH Common Fund. Emanuele Ratti was supported in part by an award from the Notre Dame‐IBM Tech Ethics Lab (number 262812UB) and Innovate UK and Horizon Europe (project ID 10063119). Such support does not constitute an endorsement by the sponsor of the views expressed in this publication.

Keywords

Artificial Intelligence
Black box
Philosophy of Science
philosophy of medicine

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Cite this

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title = "Epistemological Challenges of Artificial Intelligence Clinical Decision Support Tools in Otolaryngology: The black Box Problem",

keywords = "Artificial Intelligence, Black box, Philosophy of Science, philosophy of medicine",

author = "Babu, \{Christopher S\} and Holsinger, \{Floyd Christopher\} and Lena Zuchowski and Emanuele Ratti and Ana{\"i}s Rameau",

note = "Funding Information: Ana{\"i}s Rameau was supported by a Paul B. Beeson Emerging Leaders Career Development Award in Aging (K76 AG079040) from the National Institute on Aging and by the Bridge2AI award (OT2 OD032720) from the NIH Common Fund. Emanuele Ratti was supported in part by an award from the Notre Dame‐IBM Tech Ethics Lab (number 262812UB) and Innovate UK and Horizon Europe (project ID 10063119). Such support does not constitute an endorsement by the sponsor of the views expressed in this publication.",

year = "2023",

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Epistemological Challenges of Artificial Intelligence Clinical Decision Support Tools in Otolaryngology: The black Box Problem. / Babu, Christopher S; Holsinger, Floyd Christopher; Zuchowski, Lena et al.
In: Otolaryngology: Head and Neck Surgery, Vol. 169, No. 6, 21.11.2023, p. 1697-1700.

Research output: Contribution to journal › Article (Academic Journal) › peer-review

TY - JOUR

T1 - Epistemological Challenges of Artificial Intelligence Clinical Decision Support Tools in Otolaryngology

T2 - The black Box Problem

AU - Babu, Christopher S

AU - Holsinger, Floyd Christopher

AU - Zuchowski, Lena

AU - Ratti, Emanuele

AU - Rameau, Anaïs

N1 - Funding Information: Anaïs Rameau was supported by a Paul B. Beeson Emerging Leaders Career Development Award in Aging (K76 AG079040) from the National Institute on Aging and by the Bridge2AI award (OT2 OD032720) from the NIH Common Fund. Emanuele Ratti was supported in part by an award from the Notre Dame‐IBM Tech Ethics Lab (number 262812UB) and Innovate UK and Horizon Europe (project ID 10063119). Such support does not constitute an endorsement by the sponsor of the views expressed in this publication.

PY - 2023/11/21

Y1 - 2023/11/21

KW - Artificial Intelligence

KW - Black box

KW - Philosophy of Science

KW - philosophy of medicine

U2 - 10.1002/ohn.410

DO - 10.1002/ohn.410

M3 - Article (Academic Journal)

C2 - 37344955

SN - 0194-5998

VL - 169

SP - 1697

EP - 1700

JO - Otolaryngology: Head and Neck Surgery

JF - Otolaryngology: Head and Neck Surgery

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ER -