[HTML][HTML] Ethical challenges and solutions of generative AI: An interdisciplinary perspective
Background: Open Access Systematic Review Ethical Challenges and Solutions of
Generative AI: An Interdisciplinary Perspective by Mousa Al-kfairy 1,*, Dheya Mustafa 2, Nir …
Generative AI: An Interdisciplinary Perspective by Mousa Al-kfairy 1,*, Dheya Mustafa 2, Nir …
Deepfakes: An integrative review of the literature and an agenda for future research
PN Vasist, S Krishnan - … of the Association for Information Systems, 2022 - aisel.aisnet.org
We are witnessing a growing concern around the impact of hyper-realistic synthetic media
and its dissemination in what is widely known as" deepfakes." However, the phenomenon's …
and its dissemination in what is widely known as" deepfakes." However, the phenomenon's …
A novel deep learning approach for deepfake image detection
Deepfake is utilized in synthetic media to generate fake visual and audio content based on a
person's existing media. The deepfake replaces a person's face and voice with fake media …
person's existing media. The deepfake replaces a person's face and voice with fake media …
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance
Abstract Most applications of Artificial Intelligence (AI) are designed for a confined and
specific task. However, there are many scenarios that call for a more general AI, capable of …
specific task. However, there are many scenarios that call for a more general AI, capable of …
Diffusion-based conditional ECG generation with structured state space models
Generating synthetic data is a promising solution for addressing privacy concerns that arise
when distributing sensitive health data. In recent years, diffusion models have become the …
when distributing sensitive health data. In recent years, diffusion models have become the …
DeepFake knee osteoarthritis X-rays from generative adversarial neural networks deceive medical experts and offer augmentation potential to automatic classification
Recent developments in deep learning have impacted medical science. However, new
privacy issues and regulatory frameworks have hindered medical data sharing and …
privacy issues and regulatory frameworks have hindered medical data sharing and …
ME-GAN: Learning panoptic electrocardio representations for multi-view ECG synthesis conditioned on heart diseases
Electrocardiogram (ECG) is a widely used non-invasive diagnostic tool for heart diseases.
Many studies have devised ECG analysis models (eg, classifiers) to assist diagnosis. As an …
Many studies have devised ECG analysis models (eg, classifiers) to assist diagnosis. As an …
Synthetic data in healthcare
Synthetic data are becoming a critical tool for building artificially intelligent systems.
Simulators provide a way of generating data systematically and at scale. These data can …
Simulators provide a way of generating data systematically and at scale. These data can …
Golden standard or obsolete method? Review of ECG applications in clinical and experimental context
T Stracina, M Ronzhina, R Redina… - Frontiers in …, 2022 - frontiersin.org
Cardiovascular system and its functions under both physiological and pathophysiological
conditions have been studied for centuries. One of the most important steps in the …
conditions have been studied for centuries. One of the most important steps in the …
[HTML][HTML] Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges
Training deep neural network classifiers for electrocardiograms (ECGs) requires sufficient
data. However, imbalanced datasets pose a major problem for the training process and …
data. However, imbalanced datasets pose a major problem for the training process and …