Quo vadis artificial intelligence?

Y Jiang, X Li, H Luo, S Yin, O Kaynak - Discover Artificial Intelligence, 2022 - Springer
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …

[HTML][HTML] Deep learning attention mechanism in medical image analysis: Basics and beyonds

X Li, M Li, P Yan, G Li, Y Jiang, H Luo… - International Journal of …, 2023 - sciltp.com
With the improvement of hardware computing power and the development of deep learning
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …

Denoising diffusion probabilistic models for 3D medical image generation

F Khader, G Müller-Franzes, S Tayebi Arasteh… - Scientific Reports, 2023 - nature.com
Recent advances in computer vision have shown promising results in image generation.
Diffusion probabilistic models have generated realistic images from textual input, as …

[HTML][HTML] Generative AI in medical practice: in-depth exploration of privacy and security challenges

Y Chen, P Esmaeilzadeh - Journal of Medical Internet Research, 2024 - jmir.org
As advances in artificial intelligence (AI) continue to transform and revolutionize the field of
medicine, understanding the potential uses of generative AI in health care becomes …

[HTML][HTML] Deep learning based synthesis of MRI, CT and PET: Review and analysis

S Dayarathna, KT Islam, S Uribe, G Yang, M Hayat… - Medical Image …, 2023 - Elsevier
Medical image synthesis represents a critical area of research in clinical decision-making,
aiming to overcome the challenges associated with acquiring multiple image modalities for …

Medical diffusion: denoising diffusion probabilistic models for 3D medical image generation

F Khader, G Mueller-Franzes, ST Arasteh… - arXiv preprint arXiv …, 2022 - arxiv.org
Recent advances in computer vision have shown promising results in image generation.
Diffusion probabilistic models in particular have generated realistic images from textual …

AI-powered blockchain technology for public health: A contemporary review, open challenges, and future research directions

R Kumar, Arjunaditya, D Singh, K Srinivasan, YC Hu - Healthcare, 2022 - mdpi.com
Blockchain technology has been growing at a substantial growth rate over the last decade.
Introduced as the backbone of cryptocurrencies such as Bitcoin, it soon found its application …

Evaluating synthetic medical images using artificial intelligence with the GAN algorithm

AB Abdusalomov, R Nasimov, N Nasimova, B Muminov… - Sensors, 2023 - mdpi.com
In recent years, considerable work has been conducted on the development of synthetic
medical images, but there are no satisfactory methods for evaluating their medical suitability …

A survey of automated data augmentation for image classification: Learning to compose, mix, and generate

TH Cheung, DY Yeung - IEEE transactions on neural networks …, 2023 - ieeexplore.ieee.org
Data augmentation is an effective way to improve the generalization of deep learning
models. However, the underlying augmentation methods mainly rely on handcrafted …

Deep convolutional generative adversarial networks to enhance artificial intelligence in healthcare: a skin cancer application

M La Salvia, E Torti, R Leon, H Fabelo, S Ortega… - Sensors, 2022 - mdpi.com
In recent years, researchers designed several artificial intelligence solutions for healthcare
applications, which usually evolved into functional solutions for clinical practice …