Ganesh Paramasivam

Urinary metabolomic signatures associated with left ventricular hypertrophy in chronic kidney disease: an exploratory gas chromatography-mass spectrometry study

Kunal Chandrakar, Monalisa Biswas, Ysphaneendra Mallimoggala, Ganesh Paramasivam et autres

Abstract Although left ventricular hypertrophy (LVH) is common in people with chronic kidney disease (CKD); its mechanisms are not well understood. Metabolomic profiling may reveal novel mechanistic pathways linked to cardiac remodelling in CKD patients. In this single-centre cross-sectional study, fifty-three adults …

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Machine Learning Models for Predicting the Progression of Diabetic Kidney Disease

Cynthia Amrutha Sukumar, Ganesh Paramasivam, Ajit Singh, Indu Rao

This scoping review aims to systematically map and summarize the existing evidence on machine learning (ML) models developed to predict the progression of diabetic kidney disease (DKD). The review will examine the types of ML algorithms used, predictor variables incorporated, renal outcomes …

Remote Ischemic Preconditioning for Prevention of Contrast-Associated Acute Kidney Injury following Coronary Angiography or Percutaneous Coronary Intervention

Indu Ramachandra Rao, Ganesh Paramasivam, Shravana Acharya, Sunil R et autres

KEY POINTS: Remote ischemic preconditioning reduced the risk of contrast-associated AKI in patients undergoing coronary angiography or percutaneous coronary intervention. The benefits of remote ischemic preconditioning were consistent across coronary angiography, percutaneous coronary intervention, diabetes, and CKD subgroups. Remote ischemic preconditioning probably …

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Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol

Sidharth Satish Menon, Umesh Velu, Lavanya Gurram, Ganesh Paramasivam et autres

BACKGROUND: Deep learning (DL)-based artificial intelligence (AI) models, the fourth generation in autosegmentation, have been adopted both for commercial and research applications worldwide and have shown great promise as reliable and comprehensive resource strategies for radiotherapy workflows. METHODS: A comprehensive search will …

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Additional file 3 of Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol

Sidharth Satish Menon, Umesh Velu, Lavanya Gurram, Ganesh Paramasivam et autres

Supplementary Material 3

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Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol

Sidharth Satish Menon, Umesh Velu, Lavanya Gurram, Ganesh Paramasivam et autres

Abstract Background Deep learning (DL)-based artificial intelligence (AI) models, the fourth generation in autosegmentation, have been adopted both for commercial and research applications worldwide and have shown great promise as reliable and comprehensive resource strategies for radiotherapy workflows. Methods A comprehensive search …

in, ca (code pays fourni par la source)

Additional file 1 of Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol

Sidharth Satish Menon, Umesh Velu, Lavanya Gurram, Ganesh Paramasivam et autres

Supplementary Material 1

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Additional file 2 of Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol

Sidharth Satish Menon, Umesh Velu, Lavanya Gurram, Ganesh Paramasivam et autres

Supplementary Material 2

in, ca (code pays fourni par la source)

Additional file 1 of Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol

Sidharth Satish Menon, Umesh Velu, Lavanya Gurram, Ganesh Paramasivam et autres

Supplementary Material 1

in, ca (code pays fourni par la source)

Additional file 2 of Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol

Sidharth Satish Menon, Umesh Velu, Lavanya Gurram, Ganesh Paramasivam et autres

Supplementary Material 2

in, ca (code pays fourni par la source)

Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol

Sidharth Satish Menon, Umesh Velu, Lavanya Gurram, Ganesh Paramasivam et autres

Abstract Background Deep learning (DL)-based artificial intelligence (AI) models, the fourth generation in autosegmentation, have been adopted both for commercial and research applications worldwide and have shown great promise as reliable and comprehensive resource strategies for radiotherapy workflows. Methods A comprehensive search …

in, ca (code pays fourni par la source)

Additional file 3 of Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol

Sidharth Satish Menon, Umesh Velu, Lavanya Gurram, Ganesh Paramasivam et autres

Supplementary Material 3

in, ca (code pays fourni par la source)