Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis
Federico Cabitza
1, 2
,
Andrea Campagner
2
,
Luca Ronzio
3
,
Matteo Cameli
4
,
Giulia E. Mandoli
4
,
Maria Pastore
5
,
Luca Maria Sconfienza
2, 6
,
Duarte Folgado
7
,
Marília Barandas
7
,
Hugo Gamboa
7, 8
2
4
5
Azienda Ospedaliera Maggiore Della Carita’ Di Novara, Novara, Italy
|
Publication type: Journal Article
Publication date: 2023-04-01
scimago Q1
wos Q1
SJR: 1.396
CiteScore: 12.2
Impact factor: 6.2
ISSN: 09333657, 18732860
PubMed ID:
36990586
Medicine (miscellaneous)
Artificial Intelligence
Abstract
In this paper, we study human-AI collaboration protocols, a design-oriented construct aimed at establishing and evaluating how humans and AI can collaborate in cognitive tasks. We applied this construct in two user studies involving 12 specialist radiologists (the knee MRI study) and 44 ECG readers of varying expertise (the ECG study), who evaluated 240 and 20 cases, respectively, in different collaboration configurations. We confirm the utility of AI support but find that XAI can be associated with a “white-box paradox”, producing a null or detrimental effect. We also find that the order of presentation matters: AI-first protocols are associated with higher diagnostic accuracy than human-first protocols, and with higher accuracy than both humans and AI alone. Our findings identify the best conditions for AI to augment human diagnostic skills, rather than trigger dysfunctional responses and cognitive biases that can undermine decision effectiveness.
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Metrics
74
Total citations:
74
Citations from 2024:
65
(89.04%)
Cite this
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RIS |
BibTex
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GOST
Copy
Cabitza F. et al. Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis // Artificial Intelligence in Medicine. 2023. Vol. 138. p. 102506.
GOST all authors (up to 50)
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Cabitza F., Campagner A., Ronzio L., Cameli M., Mandoli G. E., Pastore M., Sconfienza L. M., Folgado D., Barandas M., Gamboa H. Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis // Artificial Intelligence in Medicine. 2023. Vol. 138. p. 102506.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1016/j.artmed.2023.102506
UR - https://doi.org/10.1016/j.artmed.2023.102506
TI - Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis
T2 - Artificial Intelligence in Medicine
AU - Cabitza, Federico
AU - Campagner, Andrea
AU - Ronzio, Luca
AU - Cameli, Matteo
AU - Mandoli, Giulia E.
AU - Pastore, Maria
AU - Sconfienza, Luca Maria
AU - Folgado, Duarte
AU - Barandas, Marília
AU - Gamboa, Hugo
PY - 2023
DA - 2023/04/01
PB - Elsevier
SP - 102506
VL - 138
PMID - 36990586
SN - 0933-3657
SN - 1873-2860
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2023_Cabitza,
author = {Federico Cabitza and Andrea Campagner and Luca Ronzio and Matteo Cameli and Giulia E. Mandoli and Maria Pastore and Luca Maria Sconfienza and Duarte Folgado and Marília Barandas and Hugo Gamboa},
title = {Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis},
journal = {Artificial Intelligence in Medicine},
year = {2023},
volume = {138},
publisher = {Elsevier},
month = {apr},
url = {https://doi.org/10.1016/j.artmed.2023.102506},
pages = {102506},
doi = {10.1016/j.artmed.2023.102506}
}