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2025
Machine learning in point-of-care testing: innovations, challenges, and opportunities
Nature Communications
2025
Task-Related EEG as a Biomarker for Preclinical Alzheimer’s Disease: An Explainable Deep Learning Approach
Biomimetics
2025
Learning and Analytics in Intelligent Systems
2025
Optimizing Hydrogen Production in the Co-Gasification Process: Comparison of Explainable Regression Models Using Shapley Additive Explanations
Entropy
2025
Artificial Intelligence and Cybersecurity in Healthcare
2025
Interpretable modelling and visualization of biomedical data
Neurocomputing
2025
Reducing inference cost of Alzheimer’s disease identification using an uncertainty-aware ensemble of uni-modal and multi-modal learners
Scientific Reports
2025
A multiview-slice feature fusion network for early diagnosis of Alzheimer’s disease with structural MRI images
Information Fusion
2025
Extensive Review of Literature on Explainable AI (XAI) in Healthcare Applications
Recent Advances in Computer Science and Communications
2025
2025 15th International Conference on Electrical Engineering (ICEENG)
2025
Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers
International Journal of Molecular Sciences
2024
Advances in Medical Technologies and Clinical Practice
2024
A confidence machine for sparse high‐order interaction model
Stat
2024
Steroid profiling in adrenal disease
Clinica Chimica Acta
2024
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
IEEE Transactions on Artificial Intelligence
2024
Disruptive Technologies and Digital Transformations for Society 5.0
2024
Hepatic encephalopathy post-TIPS: Current status and prospects in predictive assessment
Computational and Structural Biotechnology Journal
2024
Interpretable Disease Progression Prediction Based on Reinforcement Reasoning Over a Knowledge Graph
IEEE Transactions on Systems, Man, and Cybernetics: Systems
2024
Extreme Gradient Boosting Beats In‐Silico Identification of Proteins Potentially Associated With Alzheimer’s
Applied Computational Intelligence and Soft Computing
2024
Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine
Informatics in Medicine Unlocked
2024
Explainable AI approaches in deep learning: Advancements, applications and challenges
Computers and Electrical Engineering
2023
Revealing the Roles of Part-of-Speech Taggers in Alzheimer Disease Detection: Scientific Discovery Using One-Intervention Causal Explanation
JMIR Formative Research
2023
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
2023
IFIP Advances in Information and Communication Technology
2023
Interpretable machine learning for dementia: A systematic review
Alzheimer's & Dementia
2023
2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2023
Neuropsychological features evaluation of data related to Alzheimer’s disease progression using feature selection
Intelligent Decision Technologies
2023
Assessment for Alzheimer’s Disease Advancement Using Classification Models with Rules
Applied Sciences
2023
Explainable Machine Learning Techniques to Predict Muscle Injuries in Professional Soccer Players through Biomechanical Analysis
Sensors
2023
An Experimental Study on Evaluating Alzheimer’s Disease Features using Data Mining Techniques
Journal of Information & Knowledge Management
2023
Lecture Notes in Computer Science
2023
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Artificial Intelligence Review
2022
From Blackbox to Explainable AI in Healthcare: Existing Tools and Case Studies
Mobile Information Systems
2022
Lecture Notes in Computer Science
2022
Development and External Validation of a Simple-To-Use Dynamic Nomogram for Predicting Breast Malignancy Based on Ultrasound Morphometric Features: A Retrospective Multicenter Study
Frontiers in Oncology
2022
An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI
Sensors
2022
In-depth insights into Alzheimer’s disease by using explainable machine learning approach
Scientific Reports
2022
Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
Diagnostics
2022
Recent Applications of Bioinformatics in Target Identification and Drug Discovery for Alzheimer’s Disease
Current Topics in Medicinal Chemistry
2022
Profiling hearing aid users through big data explainable artificial intelligence techniques
Frontiers in Neurology
2022
Machine learning prediction and tau-based screening identifies potential Alzheimer’s disease genes relevant to immunity
Communications Biology
2022
Lecture Notes on Data Engineering and Communications Technologies
2022
Machine Learning Workflow to Explain Black-Box Models for Early Alzheimer’s Disease Classification Evaluated for Multiple Datasets
SN Computer Science
2022
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Information Fusion
2022
Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model‐agnostic explanations
International Journal of Imaging Systems and Technology
2021
Review of wearable technologies and machine learning methodologies for systematic detection of mild traumatic brain injuries
Journal of Neural Engineering
2021
A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease
Scientific Reports
2021
Sparse Nonnegative Interaction Models
IEEE Access
2021
Potential value and impact of data mining and machine learning in clinical diagnostics
Critical Reviews in Clinical Laboratory Sciences
2020
2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)
2020
Machine Learning Applied to Diagnosis of Human Diseases: A Systematic Review
Applied Sciences
2020
Automated MRI-Based Deep Learning Model for Detection of Alzheimer’s Disease Process
International Journal of Neural Systems
2020
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery
Computers in Biology and Medicine
2020
Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review
Journal of the American Medical Informatics Association
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