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Assessing the communication gap between AI models and healthcare
  professionals: explainability, utility and trust in AI-driven clinical
  decision-making
v1v2v3 (latest)

Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making

11 April 2022
Oskar Wysocki
J. Davies
Markel Vigo
Anne Caroline Armstrong
Dónal Landers
Rebecca Lee
André Freitas
ArXiv (abs)PDFHTML

Papers citing "Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making"

8 / 8 papers shown
Title
When Two Wrongs Don't Make a Right" -- Examining Confirmation Bias and
  the Role of Time Pressure During Human-AI Collaboration in Computational
  Pathology
When Two Wrongs Don't Make a Right" -- Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology
Emely Rosbach
Jonas Ammeling
S. Krügel
Angelika Kießig
Alexis Fritz
...
N. Stathonikos
Matthias W. Uhl
C. Bertram
Andreas Riener
Marc Aubreville
82
1
0
01 Nov 2024
A Pilot Study on Clinician-AI Collaboration in Diagnosing Depression
  from Speech
A Pilot Study on Clinician-AI Collaboration in Diagnosing Depression from Speech
Kexin Feng
Theodora Chaspari
108
0
0
23 Oct 2024
Contrasting Attitudes Towards Current and Future AI Applications for
  Computerised Interpretation of ECG: A Clinical Stakeholder Interview Study
Contrasting Attitudes Towards Current and Future AI Applications for Computerised Interpretation of ECG: A Clinical Stakeholder Interview Study
Lukas Hughes-Noehrer
Leda Channer
Gabriel Strain
Gregory Yates
Richard Body
Caroline Jay
24
0
0
22 Oct 2024
Diagnosis of Malignant Lymphoma Cancer Using Hybrid Optimized Techniques
  Based on Dense Neural Networks
Diagnosis of Malignant Lymphoma Cancer Using Hybrid Optimized Techniques Based on Dense Neural Networks
Salah A. Aly
Ali M. Bakhiet
Mazen Balat
51
0
0
09 Oct 2024
A Two-Phase Visualization System for Continuous Human-AI Collaboration
  in Sequelae Analysis and Modeling
A Two-Phase Visualization System for Continuous Human-AI Collaboration in Sequelae Analysis and Modeling
Ouyang Yang
Chenyang Zhang
He Wang
Tianle Ma
Chang Jiang
Yuheng Yan
Zuo-Qin Yan
Xiaojuan Ma
Chuhan Shi
Quan Li
80
0
0
20 Jul 2024
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization
Yitao Peng
Lianghua He
D. Hu
FAtt
118
0
0
23 May 2024
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a
  Mental Model
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model
Mohsen Abbaspour Onari
Isel Grau
M. S. Nobile
Yingqian Zhang
78
1
0
15 Jul 2023
A systematic review of biologically-informed deep learning models for
  cancer: fundamental trends for encoding and interpreting oncology data
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data
Magdalena Wysocka
Oskar Wysocki
Marie Zufferey
Dónal Landers
André Freitas
AI4CE
109
28
0
02 Jul 2022
1