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What do we need to build explainable AI systems for the medical domain?

What do we need to build explainable AI systems for the medical domain?

28 December 2017
Andreas Holzinger
Chris Biemann
C. Pattichis
D. Kell
ArXivPDFHTML

Papers citing "What do we need to build explainable AI systems for the medical domain?"

50 / 141 papers shown
Title
Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry
Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry
J. Kim
Chaeeun Shim
Sungjin Park
Su Yeon Lee
Gee Young Suh
...
Yong Soo Kim
Hee-Joon Bae
Sung Yoon Lim
Han-Gil Jeong
Edward Choi
LRM
34
0
0
05 May 2025
Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI
Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI
Hugo Georgenthum
Cristian Cosentino
Fabrizio Marozzo
Pietro Liò
MedIm
90
0
0
28 Apr 2025
Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans
Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans
Ashley Suh
Isabelle Hurley
Nora Smith
H. Siu
42
1
0
13 Mar 2025
ECG-Expert-QA: A Benchmark for Evaluating Medical Large Language Models in Heart Disease Diagnosis
ECG-Expert-QA: A Benchmark for Evaluating Medical Large Language Models in Heart Disease Diagnosis
Xu Wang
Jiaju Kang
Puyu Han
Yubao Zhao
Qian Liu
Liwenfei He
Lingqiong Zhang
Lingyun Dai
Yongcheng Wang
Jie Tao
LM&MA
60
1
0
16 Feb 2025
AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
K. M. T. Jawad
Anusha Verma
Fathi H. Amsaad
Lamia Ashraf
54
1
0
28 Jan 2025
Faithful Counterfactual Visual Explanations (FCVE)
Faithful Counterfactual Visual Explanations (FCVE)
Bismillah Khan
Syed Ali Tariq
Tehseen Zia
Muhammad Ahsan
David Windridge
36
0
0
12 Jan 2025
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
Duy M. Nguyen
Hasan Md Tusfiqur Alam
T. Nguyen
Devansh Srivastav
H. Profitlich
Ngan Le
Daniel Sonntag
34
2
0
07 Jan 2025
Mapping the Mind of an Instruction-based Image Editing using SMILE
Mapping the Mind of an Instruction-based Image Editing using SMILE
Zeinab Dehghani
Koorosh Aslansefat
Adil Khan
Adín Ramirez Rivera
Franky George
Muhammad Khalid
DiffM
75
0
0
20 Dec 2024
Explainable Artificial Intelligence for Medical Applications: A Review
Explainable Artificial Intelligence for Medical Applications: A Review
Qiyang Sun
Alican Akman
Björn Schuller
79
6
0
15 Nov 2024
Explainability in AI Based Applications: A Framework for Comparing
  Different Techniques
Explainability in AI Based Applications: A Framework for Comparing Different Techniques
Arne Grobrugge
Nidhi Mishra
Johannes Jakubik
G. Satzger
99
1
0
28 Oct 2024
A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy
A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy
Xiaowei Jiang
Liang Ou
Yanan Chen
Na Ao
Yu-Cheng Chang
T. Do
Chin-Teng Lin
93
2
0
26 Sep 2024
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable
  Approach
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach
Debarpan Bhattacharya
A. H. Poorjam
Deepak Mittal
S. Ganapathy
25
0
0
17 Sep 2024
Explainable AI: Definition and attributes of a good explanation for
  health AI
Explainable AI: Definition and attributes of a good explanation for health AI
E. Kyrimi
S. McLachlan
Jared M Wohlgemut
Zane B Perkins
David A. Lagnado
W. Marsh
the ExAIDSS Expert Group
XAI
21
1
0
09 Sep 2024
A prototype-based model for set classification
A prototype-based model for set classification
Mohammad Mohammadi
Sreejita Ghosh
VLM
83
1
0
25 Aug 2024
AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias
AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias
Sribala Vidyadhari Chinta
Zichong Wang
Xingyu Zhang
Thang Doan Viet
A. Kashif
Monique Antoinette Smith
Jun Liu
W. Zhang
34
1
0
29 Jul 2024
Comprehensive Attribution: Inherently Explainable Vision Model with
  Feature Detector
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
Xianren Zhang
Dongwon Lee
Suhang Wang
VLM
FAtt
40
3
0
27 Jul 2024
Applications of Generative AI in Healthcare: algorithmic, ethical, legal
  and societal considerations
Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations
Onyekachukwu R. Okonji
Kamol Yunusov
Bonnie Gordon
MedIm
39
3
0
15 Jun 2024
Evaluating Explanatory Capabilities of Machine Learning Models in
  Medical Diagnostics: A Human-in-the-Loop Approach
Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach
José Bobes-Bascarán
E. Mosqueira-Rey
Á. Fernández-Leal
Elena Hernández-Pereira
David Alonso-Ríos
V. Moret-Bonillo
Israel Figueirido-Arnoso
Y. Vidal-Ínsua
ELM
19
0
0
28 Mar 2024
"It is there, and you need it, so why do you not use it?" Achieving
  better adoption of AI systems by domain experts, in the case study of natural
  science research
"It is there, and you need it, so why do you not use it?" Achieving better adoption of AI systems by domain experts, in the case study of natural science research
Auste Simkute
Ewa Luger
Michael Evans
Rhianne Jones
16
1
0
25 Mar 2024
What is the focus of XAI in UI design? Prioritizing UI design principles
  for enhancing XAI user experience
What is the focus of XAI in UI design? Prioritizing UI design principles for enhancing XAI user experience
Dian Lei
Yao He
Jianyou Zeng
24
1
0
21 Feb 2024
MultiFIX: An XAI-friendly feature inducing approach to building models
  from multimodal data
MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data
Mafalda Malafaia
Thalea Schlender
Peter A. N. Bosman
T. Alderliesten
19
0
0
19 Feb 2024
Advancing Explainable AI Toward Human-Like Intelligence: Forging the
  Path to Artificial Brain
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain
Yongchen Zhou
Richard Jiang
19
2
0
07 Feb 2024
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect
  Estimation
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
Lucile Ter-Minassian
Liran Szlak
Ehud Karavani
Chris Holmes
Y. Shimoni
14
0
0
31 Jan 2024
Useful Blunders: Can Automated Speech Recognition Errors Improve
  Downstream Dementia Classification?
Useful Blunders: Can Automated Speech Recognition Errors Improve Downstream Dementia Classification?
Changye Li
Weizhe Xu
Trevor Cohen
Serguei V. S. Pakhomov
23
7
0
10 Jan 2024
Understanding and Estimating Domain Complexity Across Domains
Understanding and Estimating Domain Complexity Across Domains
Katarina Z. Doctor
M. Kejriwal
Lawrence Holder
Eric J. Kildebeck
Emma Resmini
Christopher Pereyda
Robert J. Steininger
Daniel V. Olivença
11
0
0
20 Dec 2023
Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis
  Framework with Prompt-Generated Rationales
Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
Taeyoon Kwon
Kai Tzu-iunn Ong
Dongjin Kang
Seungjun Moon
J. Lee
Dosik Hwang
Yongsik Sim
B. Sohn
Dongha Lee
Jinyoung Yeo
LRM
LM&MA
21
29
0
12 Dec 2023
Explaining by Imitating: Understanding Decisions by Interpretable Policy
  Learning
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning
Alihan Huyuk
Daniel Jarrett
M. Schaar
6
21
0
28 Oct 2023
Explanation-based Training with Differentiable Insertion/Deletion
  Metric-aware Regularizers
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers
Yuya Yoshikawa
Tomoharu Iwata
14
0
0
19 Oct 2023
Explaining with Attribute-based and Relational Near Misses: An
  Interpretable Approach to Distinguishing Facial Expressions of Pain and
  Disgust
Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust
Bettina Finzel
Simon Kuhn
David E. Tafler
Ute Schmid
FAtt
15
1
0
27 Aug 2023
Explainable AI applications in the Medical Domain: a systematic review
Explainable AI applications in the Medical Domain: a systematic review
Nicoletta Prentzas
A. Kakas
Constantinos S. Pattichis
16
11
0
10 Aug 2023
Measuring Faithfulness in Chain-of-Thought Reasoning
Measuring Faithfulness in Chain-of-Thought Reasoning
Tamera Lanham
Anna Chen
Ansh Radhakrishnan
Benoit Steiner
Carson E. Denison
...
Zac Hatfield-Dodds
Jared Kaplan
J. Brauner
Sam Bowman
Ethan Perez
ReLM
LRM
17
164
0
17 Jul 2023
Explainable Representations for Relation Prediction in Knowledge Graphs
Explainable Representations for Relation Prediction in Knowledge Graphs
R. T. Sousa
Sara Silva
Catia Pesquita
11
5
0
22 Jun 2023
Hardness of Deceptive Certificate Selection
Hardness of Deceptive Certificate Selection
Stephan Wäldchen
AAML
9
1
0
07 Jun 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised
  Attention Multiple Instance Learning
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
Zhe Huang
B. Wessler
M. C. Hughes
14
3
0
25 May 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why,
  How, and When?
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
M. Rubaiyat
Hossain Mondal
Prajoy Podder
13
56
0
10 Apr 2023
Explainable AI And Visual Reasoning: Insights From Radiology
Explainable AI And Visual Reasoning: Insights From Radiology
Rob Kaufman
David Kirsh
13
5
0
06 Apr 2023
Explainable Intrusion Detection Systems Using Competitive Learning
  Techniques
Explainable Intrusion Detection Systems Using Competitive Learning Techniques
Jesse Ables
Thomas Kirby
Sudip Mittal
I. Banicescu
Shahram Rahimi
William Anderson
Maria Seale
11
1
0
30 Mar 2023
Toward Defining a Domain Complexity Measure Across Domains
Toward Defining a Domain Complexity Measure Across Domains
Katarina Z. Doctor
Christine Task
Eric J. Kildebeck
M. Kejriwal
Lawrence Holder
Russell Leong
23
8
0
07 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey
A System's Approach Taxonomy for User-Centred XAI: A Survey
Ehsan Emamirad
Pouya Ghiasnezhad Omran
A. Haller
S. Gregor
21
1
0
06 Mar 2023
Directive Explanations for Monitoring the Risk of Diabetes Onset:
  Introducing Directive Data-Centric Explanations and Combinations to Support
  What-If Explorations
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations
Aditya Bhattacharya
Jeroen Ooge
Gregor Stiglic
K. Verbert
11
30
0
21 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A
  Survey and a Mapping Function Proposal
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal
M. Hashemi
Ali Darejeh
Francisco Cruz
27
3
0
07 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to
  Address the Gap in XAI
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI
Upol Ehsan
Koustuv Saha
M. D. Choudhury
Mark O. Riedl
16
56
0
01 Feb 2023
On Explainability in AI-Solutions: A Cross-Domain Survey
On Explainability in AI-Solutions: A Cross-Domain Survey
S. D. Antón
Daniel Schneider
Hans D. Schotten
6
2
0
11 Oct 2022
A survey of Identification and mitigation of Machine Learning
  algorithmic biases in Image Analysis
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis
Laurent Risser
Agustin Picard
Lucas Hervier
Jean-Michel Loubes
FaML
25
5
0
10 Oct 2022
Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers
Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers
Behnam Mohammadi
Nikhil Malik
Timothy P. Derdenger
K. Srinivasan
17
1
0
07 Sep 2022
Semantic Interactive Learning for Text Classification: A Constructive
  Approach for Contextual Interactions
Semantic Interactive Learning for Text Classification: A Constructive Approach for Contextual Interactions
Sebastian Kiefer
Mareike A Hoffmann
VLM
10
1
0
07 Sep 2022
Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for
  Patients with Cerebral Palsy
Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy
A. Rind
D. Slijepcevic
Matthias Zeppelzauer
F. Unglaube
A. Kranzl
B. Horsak
16
4
0
10 Aug 2022
Diagnosis of Paratuberculosis in Histopathological Images Based on
  Explainable Artificial Intelligence and Deep Learning
Diagnosis of Paratuberculosis in Histopathological Images Based on Explainable Artificial Intelligence and Deep Learning
Tuncay Yiugit
Nilgun cSengoz
Ozlem Ozmen
Jude Hemanth
Ali Hakan Icsik
MedIm
21
7
0
02 Aug 2022
An Urban Population Health Observatory for Disease Causal Pathway
  Analysis and Decision Support: Underlying Explainable Artificial Intelligence
  Model
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model
Whitney S. Brakefield
Nariman Ammar
A. Shaban-Nejad
8
9
0
26 Jul 2022
Creating an Explainable Intrusion Detection System Using Self Organizing
  Maps
Creating an Explainable Intrusion Detection System Using Self Organizing Maps
Jesse Ables
Thomas Kirby
William Anderson
Sudip Mittal
Shahram Rahimi
I. Banicescu
Maria Seale
20
13
0
15 Jul 2022
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