Explainable AI for healthcare 5.0: opportunities and challenges
D Saraswat, P Bhattacharya, A Verma, VK Prasad… - IEEE …, 2022 - ieeexplore.ieee.org
In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …
[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …
diagnosis with their outstanding image classification performance. In spite of the outstanding …
DARPA's explainable AI (XAI) program: A retrospective
DARPA formulated the Explainable Artificial Intelligence (XAI) program in 2015 with the goal
to enable end users to better understand, trust, and effectively manage artificially intelligent …
to enable end users to better understand, trust, and effectively manage artificially intelligent …
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review
Abstract Transparency in Machine Learning (ML), often also referred to as interpretability or
explainability, attempts to reveal the working mechanisms of complex models. From a …
explainability, attempts to reveal the working mechanisms of complex models. From a …
Toward generalizability in the deployment of artificial intelligence in radiology: role of computation stress testing to overcome underspecification
T Eche, LH Schwartz, FZ Mokrane… - Radiology: Artificial …, 2021 - pubs.rsna.org
The clinical deployment of artificial intelligence (AI) applications in medical imaging is
perhaps the greatest challenge facing radiology in the next decade. One of the main …
perhaps the greatest challenge facing radiology in the next decade. One of the main …
Comparison and explanation of forecasting algorithms for energy time series
In this work, energy time series forecasting competitions from the Schneider Company, the
Kaggle Online platform, and the American society ASHRAE were considered. These …
Kaggle Online platform, and the American society ASHRAE were considered. These …
Psychological impact and influence of animation on viewer's visual attention and cognition: A systematic literature review, open challenges, and future research …
CK Praveen, K Srinivasan - Computational and Mathematical …, 2022 - Wiley Online Library
Animation is an excellent method to associate with the audience in a fun and innovative
manner. In recent span, animation has been employed in various fields to enhance …
manner. In recent span, animation has been employed in various fields to enhance …
Ten quick tips for computational analysis of medical images
D Chicco, R Shiradkar - PLoS computational biology, 2023 - journals.plos.org
Medical imaging is a great asset for modern medicine, since it allows physicians to spatially
interrogate a disease site, resulting in precise intervention for diagnosis and treatment, and …
interrogate a disease site, resulting in precise intervention for diagnosis and treatment, and …
An explainable machine-learning model for compensatory reserve measurement: methods for feature selection and the effects of subject variability
Tracking vital signs accurately is critical for triaging a patient and ensuring timely therapeutic
intervention. The patient's status is often clouded by compensatory mechanisms that can …
intervention. The patient's status is often clouded by compensatory mechanisms that can …
A Review of Artificial Intelligence (Ai) Challenges and Future Prospects of Explainable Ai in Major Fields: A Case Study of Nigeria
K Mohammed, A Shehu - Open Journal of Physical …, 2023 - openjournalsnigeria.org.ng
Artificial intelligence (AI) has been used widely in essential fields such as energy, health,
agriculture, finance etc. However, Artificial intelligence is still faced with social, ethical, legal …
agriculture, finance etc. However, Artificial intelligence is still faced with social, ethical, legal …