WebIt is increasingly difficult to identify complex cyberattacks in a wide range of industries, such as the Internet of Vehicles (IoV). The IoV is a network of vehicles that consists of sensors, actuators, network layers, and communication systems between vehicles. Communication plays an important role as an essential part of the IoV. Vehicles in a network share and … WebMar 16, 2024 · The explainable AI can be adopted in autonomous car decisionmaking and energy efficiency in smart homes [64] and medical imaging [65, 66]. Meanwhile, generative AI is a machine learning algorithm ...
Translational Laboratory for Cardiothoracic Imaging and Artificial ...
WebMar 12, 2024 · For medical images, a feature attribution map, or heatmap, is the most common form of explanation that highlights important features for AI models' prediction. However, it is unknown how well heatmaps perform on explaining decisions on multi-modal medical images, where each image modality or channel visualizes distinct clinical … WebMay 10, 2024 · 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 human-level accuracy on the classification of different types of medical data, these models are hardly adopted in clinical workflows, mainly due to their … parallel computing matlab
Explainable AI for medical imaging: Explaining …
WebMay 15, 2024 · An Explainable Medical Imaging Framework for Modality Classifications Trained Using Small Datasets ... To better understand why this happens, we provided an explainable AI analysis, which takes into account the number of parameters of each network and exploits the visual explanations of the activation functions obtained when … Web1 Explainable AI and Regulation in Medical Devices. David Ritscher. Senior Consultant. Cambridge Consultants. [email protected] WebJun 8, 2024 · Explainable AI may build such trust by helping medical experts to understand the AI decision processes behind diagnostic judgements. Here we introduce and evaluate explanations based on … parallel concordance