A Comprehensive Review of Generative AI in Healthcare

no code implementations • 1 Oct 2023 • Yasin Shokrollahi, Sahar Yarmohammadtoosky, Matthew M. Nikahd, Pengfei Dong, Xianqi Li, Linxia Gu

This review paper aims to offer a thorough overview of the generative AI applications in healthcare, focusing on transformers and diffusion models.

Image Classification Image Reconstruction +3

Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment

no code implementations • 3 Aug 2023 • Yasin Shokrollahi1, Pengfei Dong1, Xianqi Li, Linxia Gu

The trained U-Net models can accurately predict von Mises stress and strain fields, with structural similarity index scores (SSIM) of 0. 854 and 0. 830 and mean squared errors of 0. 017 and 0. 018 for stress and strain, respectively, on a reserved test set.

Generative Adversarial Network SSIM +1

Prediction of stent under-expansion in calcified coronary arteries using machine-learning on intravascular optical coherence tomography

no code implementations • 16 May 2022 • Yazan Gharaibeh, Juhwan Lee, Vladislav N. Zimin, Chaitanya Kolluru, Luis A. P. Dallan, Gabriel T. R. Pereira, Armando Vergara-Martel, Justin N. Kim, Ammar Hoori, Pengfei Dong, Peshala T. Gamage, Linxia Gu, Hiram G. Bezerra, Sadeer Al-Kindi, David L. Wilson

CONCLUSIONS We used calcifications and lumen features to identify lesions at risk of stent under-expansion.

regression