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Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring
  Algorithm with Uncertainty-Guided Physician Review

Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review

22 December 2023
M. Bechny
Giuliana Monachino
Luigi Fiorillo
J. van der Meer
Markus H. Schmidt
C. Bassetti
A. Tzovara
F. Faraci
ArXiv (abs)PDFHTML

Papers citing "Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review"

8 / 8 papers shown
Title
aSAGA: Automatic Sleep Analysis with Gray Areas
aSAGA: Automatic Sleep Analysis with Gray Areas
M. Rusanen
Gabriel Jouan
R. Huttunen
Sami Nikkonen
Sigríður Sigurðardóttir
...
E. S. Arnardóttir
T. Leppänen
A. Islind
S. Kainulainen
H. Korkalainen
53
4
0
03 Oct 2023
U-Sleep's resilience to AASM guidelines
U-Sleep's resilience to AASM guidelines
Luigi Fiorillo
Giuliana Monachino
J. van der Meer
M. Pesce
J. Warncke
Markus H. Schmidt
C. Bassetti
A. Tzovara
Paolo Favaro
F. Faraci
73
25
0
19 Sep 2022
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with
  Uncertainty Estimates
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates
Luigi Fiorillo
Paolo Favaro
F. Faraci
112
80
0
24 Aug 2021
SleepTransformer: Automatic Sleep Staging with Interpretability and
  Uncertainty Quantification
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification
Huy P Phan
Kaare B. Mikkelsen
Oliver Y. Chén
P. Koch
Alfred Mertins
M. D. Vos
75
187
0
23 May 2021
Confidence Estimation via Auxiliary Models
Confidence Estimation via Auxiliary Models
Charles Corbière
Nicolas Thome
A. Saporta
Tuan-Hung Vu
Matthieu Cord
P. Pérez
TPM
134
50
0
11 Dec 2020
Neural network an1alysis of sleep stages enables efficient diagnosis of
  narcolepsy
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
Jens B. Stephansen
A. N. Olesen
Mads Olsen
A. Ambati
E. Leary
...
C. Kushida
P. Peppard
H. Sørensen
P. Jennum
Emmanuel Mignot
63
226
0
05 Oct 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
169
3,271
0
05 Dec 2014
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