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Explainable Artificial Intelligence for Human Decision-Support System in
  Medical Domain

Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain

Machine Learning and Knowledge Extraction (MLKE), 2021
5 May 2021
Samanta Knapic
A. Malhi
Rohit Saluja
Kary Främling
ArXiv (abs)PDFHTML

Papers citing "Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain"

13 / 13 papers shown
Title
Enhancing IoMT Security with Explainable Machine Learning: A Case Study on the CICIOMT2024 Dataset
Enhancing IoMT Security with Explainable Machine Learning: A Case Study on the CICIOMT2024 Dataset
Mohammed Yacoubi
Omar Moussaoui
C. Drocourt
52
0
0
10 Sep 2025
X-Ray-CoT: Interpretable Chest X-ray Diagnosis with Vision-Language Models via Chain-of-Thought Reasoning
X-Ray-CoT: Interpretable Chest X-ray Diagnosis with Vision-Language Models via Chain-of-Thought Reasoning
Chee Ng
Liliang Sun
Shaoqing Tang
LM&MALRM
80
1
0
17 Aug 2025
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions
Courtney Ford
Mark T. Keane
AAML
124
0
0
08 Jul 2025
Predicting Space Tourism Demand Using Explainable AI
Predicting Space Tourism Demand Using Explainable AIActa Astronautica (AA), 2025
Tan-Hanh Pham
Jingchen Bi
Rodrigo Mesa-Arangom
Kim-Doang Nguyen
222
0
0
05 Mar 2025
Informed Deep Abstaining Classifier: Investigating noise-robust training
  for diagnostic decision support systems
Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems
H. Schneider
Sebastian Nowak
Aditya Parikh
Yannik C. Layer
Maike Theis
Wolfgang Block
Alois M. Sprinkart
U. Attenberger
R. Sifa
NoLa
103
1
0
28 Oct 2024
How explainable AI affects human performance: A systematic review of the
  behavioural consequences of saliency maps
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency mapsInternational journal of human computer interactions (IJHCI), 2024
Romy Müller
HAI
172
12
0
03 Apr 2024
XAI for In-hospital Mortality Prediction via Multimodal ICU Data
XAI for In-hospital Mortality Prediction via Multimodal ICU Data
Xingqiao Li
Jindong Gu
Zhiyong Wang
Yancheng Yuan
Bo Du
Fengxiang He
154
3
0
29 Dec 2023
Interpretability is in the eye of the beholder: Human versus artificial
  classification of image segments generated by humans versus XAI
Interpretability is in the eye of the beholder: Human versus artificial classification of image segments generated by humans versus XAIInternational journal of human computer interactions (IJHCI), 2023
Romy Müller
Marius Thoss
Julian Ullrich
Steffen Seitz
Carsten Knoll
189
4
0
21 Nov 2023
Beyond Known Reality: Exploiting Counterfactual Explanations for Medical
  Research
Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research
Toygar Tanyel
S. Ayvaz
B. Keserci
MedIm
254
13
0
05 Jul 2023
A Survey on Explainable Artificial Intelligence for Cybersecurity
A Survey on Explainable Artificial Intelligence for CybersecurityIEEE Transactions on Network and Service Management (TNSM), 2023
Gaith Rjoub
Jamal Bentahar
Omar Abdel Wahab
R. Mizouni
Alyssa Song
Robin Cohen
Hadi Otrok
Azzam Mourad
228
52
0
07 Mar 2023
The Human in the Infinite Loop: A Case Study on Revealing and Explaining
  Human-AI Interaction Loop Failures
The Human in the Infinite Loop: A Case Study on Revealing and Explaining Human-AI Interaction Loop FailuresMessage Understanding Conference (MUC), 2022
Changkun Ou
Daniel Buschek
Sven Mayer
A. Butz
131
7
0
26 Jul 2022
Contextual Importance and Utility: aTheoretical Foundation
Contextual Importance and Utility: aTheoretical FoundationApplied Informatics (AI), 2022
Kary Främling
60
11
0
15 Feb 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.9K
19,183
0
16 Feb 2016
1