Integrating chain of thought and explainable AI in BERT-based deep learning for interpretable medical diagnosis
Authors:
- Faisal BinsarFBFaisal Binsar
- SasmokoSASasmoko
Open Access
- 6 November 2025
- journal article
- Published by Elsevier in Procedia Computer Science
- Vol. 269, 389-399
Abstract
No abstract availableFunding Information
- Binus University
This publication has 23 references indexed in Scilit:
- The credibility transformerEuropean Actuarial Journal, 2025
- Local interpretable model-agnostic explanation approach for medical imaging analysis: A systematic literature reviewComputers in Biology and Medicine, 2024
- Where is my attention? An explainable AI exploration in water detection from SAR imageryInternational Journal of Applied Earth Observation and Geoinformation, 2024
- Applying large language models and chain-of-thought for automatic scoringComputers and Education: Artificial Intelligence, 2024
- Medical artificial intelligence and the black box problem: a view based on the ethical principle of “do no harm”Intelligent Medicine, 2023
- Interpreting Black-Box Models: A Review on Explainable Artificial IntelligenceCognitive Computation, 2023
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial IntelligenceInformation Fusion, 2023
- Comparison of BERT implementations for natural language processing of narrative medical documentsInformatics in Medicine Unlocked, 2022
- A study on loss function against data imbalance in deep learning correction of precipitation forecastsAtmospheric Research, 2022
- Introduction to Social Media Analysis2018