A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …
dramatically changed the medical landscape. Medical centres have adopted AI applications …
[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 …
Explainable deep learning methods in medical image classification: A survey
The remarkable success of deep learning has prompted interest in its application to medical
imaging diagnosis. Even though state-of-the-art deep learning models have achieved …
imaging diagnosis. Even though state-of-the-art deep learning models have achieved …
Labeling neural representations with inverse recognition
Abstract Deep Neural Networks (DNNs) demonstrated remarkable capabilities in learning
complex hierarchical data representations, but the nature of these representations remains …
complex hierarchical data representations, but the nature of these representations remains …
Applications of explainable AI for 6G: Technical aspects, use cases, and research challenges
When 5G began its commercialisation journey around 2020, the discussion on the vision of
6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability …
6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability …
[HTML][HTML] Artificial intelligence-assisted dermatology diagnosis: from unimodal to multimodal
N Luo, X Zhong, L Su, Z Cheng, W Ma, P Hao - Computers in Biology and …, 2023 - Elsevier
Artificial Intelligence (AI) is progressively permeating medicine, notably in the realm of
assisted diagnosis. However, the traditional unimodal AI models, reliant on large volumes of …
assisted diagnosis. However, the traditional unimodal AI models, reliant on large volumes of …
[HTML][HTML] A deep neural network using modified EfficientNet for skin cancer detection in dermoscopic images
Artificial intelligence (AI) systems can assist in analyzing medical images and aiding in the
early detection of diseases. AI can also ensure the quality of services by avoiding …
early detection of diseases. AI can also ensure the quality of services by avoiding …
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions
Background and objective: During the initial stages, skin lesions may not have sufficient
intensity difference or contrast from the background region on dermatological macro-images …
intensity difference or contrast from the background region on dermatological macro-images …
[HTML][HTML] Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
T Chanda, K Hauser, S Hobelsberger… - Nature …, 2024 - nature.com
Artificial intelligence (AI) systems have been shown to help dermatologists diagnose
melanoma more accurately, however they lack transparency, hindering user acceptance …
melanoma more accurately, however they lack transparency, hindering user acceptance …
[HTML][HTML] Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
The purpose of this paper is to propose a novel hybrid framework for evaluating and
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …