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Role of artificial intelligence and machine learning in interventional cardiology.
In Current problems in cardiology
Subhan Shoaib, Malik Jahanzeb, Haq Abair Ul, Qadeer Muhammad Saad, Zaidi Syed Muhammad Jawad, Orooj Fizza, Zaman Hafsa, Mehmoodi Amin, Majeedi Umaid
2023-Mar-13
Deep learning, cardiology, coronary angiography, neural network
Machine learning predicts cardiovascular events in patients with diabetes: The Silesia Diabetes-Heart Project.
In Current problems in cardiology
Nabrdalik Katarzyna, Kwiendacz Hanna, Drożdż Karolina, Irlik Krzysztof, Hendel Mirela, Wijata Agata M, Nalepa Jakub, Correa Elon, Hajzler Weronika, Janota Oliwia, Wójcik Wiktoria, Gumprecht Janusz, Lip Gregory Y H
2023-Mar-13
Cardiovascular Disease, Diabetes, Machine Learning, Prediction Model, Risk Factors
Investigation of liquid biopsy analytes in peripheral blood of individuals after SARS-CoV-2 infection.
In EBioMedicine
BACKGROUND :
METHODS :
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INTERPRETATION :
FUNDING :
Qi Elizabeth, Courcoubetis George, Liljegren Emmett, Herrera Ergueen, Nguyen Nathalie, Nadri Maimoona, Ghandehari Sara, Kazemian Elham, Reckamp Karen L, Merin Noah M, Merchant Akil, Mason Jeremy, Figueiredo Jane C, Shishido Stephanie N, Kuhn Peter
2023-Mar-13
COVID-19, Liquid biopsy, Long COVID, Post-COVID sequelae, Post-acute COVID-19 syndrome (PACS), SARS-CoV-2
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI.
In Medical image analysis
Zheng Tianshu, Yan Guohui, Li Haotian, Zheng Weihao, Shi Wen, Zhang Yi, Ye Chuyang, Wu Dan
2023-Mar-01
Diffusion MRI, Microstructural model, Sparse coding, Transformer

An unsupervised learning approach to diagnosing Alzheimer's disease using brain magnetic resonance imaging scans.
In International journal of medical informatics ; h5-index 49.0
BACKGROUND :
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CONCLUSION :
Liu Yuyang, Mazumdar Suvodeep, Bath Peter A
2023-Mar-02
Alzheimer’s disease, Deep learning, MRI, Machine learning, Unsupervised learning

OCT2Former: A retinal OCT-angiography vessel segmentation transformer.
In Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE :
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Tan Xiao, Chen Xinjian, Meng Qingquan, Shi Fei, Xiang Dehui, Chen Zhongyue, Pan Lingjiao, Zhu Weifang
2023-Mar-05
Deep learning, Dynamic token aggregation, Optical coherence tomography angiography, Retinal vessel segmentation, Transformer
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