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Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors'
  Reasoning with Deep Reinforcement Learning

Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning

13 October 2022
Arsène Fansi Tchango
Rishab Goel
Julien Martel
Zhi Wen
G. Caron
J. Ghosn
ArXivPDFHTML

Papers citing "Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning"

6 / 6 papers shown
Title
Interpretable Differential Diagnosis with Dual-Inference Large Language
  Models
Interpretable Differential Diagnosis with Dual-Inference Large Language Models
Shuang Zhou
Sirui Ding
Jiashuo Wang
Mingquan Lin
Genevieve B. Melton
Rui Zhang
LM&MA
30
2
0
10 Jul 2024
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax
  Segmentation
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation
Han Yuan
Chuan Hong
Nguyen Tuan Anh Tran
Xinxing Xu
Nan Liu
28
7
0
26 Nov 2023
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature
  Selection for Tabular Biomedical Data
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data
Xiangjian Jiang
Andrei Margeloiu
Nikola Simidjievski
M. Jamnik
OOD
29
10
0
21 Jun 2023
DDXPlus: A New Dataset For Automatic Medical Diagnosis
DDXPlus: A New Dataset For Automatic Medical Diagnosis
Arsène Fansi Tchango
Rishab Goel
Zhi Wen
Julien Martel
J. Ghosn
102
36
0
18 May 2022
A Bayesian Approach for Medical Inquiry and Disease Inference in
  Automated Differential Diagnosis
A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis
Hong Guan
Chitta Baral
90
9
0
15 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,134
0
06 Jun 2015
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