Results 31 to 40 of about 2,675,143 (333)

Prediksi Penyakit Ginjal Kronis Menggunakan Hibrid Jaringan Saraf Tiruan Backpropagation dengan Particle Swarm Optimization

Journal of Innovation Information Technology and Application, 2021
The number of Chronic Kidney Disease patient increased year by year while it doesn’t following by sufficient human resources and infrastructure needs the information of Chronic Kidney Disease patient prediction.
Sheren Afryan Tyastama, Tri Ginanjar Laksana, Amalia Beladina Arifa   +2 more
doaj   +1 more source

A wearable artificial kidney for patients with end-stage renal disease. [PDF]

JCI Insight, 2016
BACKGROUND Stationary hemodialysis machines hinder mobility and limit activities of daily life during dialysis treatments. New hemodialysis technologies are needed to improve patient autonomy and enhance quality of life.
Gura V, Rivara MB, Bieber S, Munshi R, Smith NC, Linke L, Kundzins J, Beizai M, Ezon C, Kessler L, Himmelfarb J.   +10 more
europepmc   +2 more sources

Connecting Mechanism for Artificial Blood Vessels with High Biocompatibility

Micromachines, 2019
This paper proposes a connecting mechanism for artificial vessels, which can be attached/detached with ease and does not deteriorate the biocompatibility of the vessels at the joint.
Ai Watanabe, Norihisa Miki
doaj   +1 more source

Artificial intelligence and radiomics in evaluation of kidney lesions: a comprehensive literature review

Therapeutic Advances in Urology, 2023
Radiomics and artificial intelligence (AI) may increase the differentiation of benign from malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma (RCC), differentiation of oncocytoma from RCC, differentiation of ...
M. Ferro, F. Crocetto, B. Barone, F. del Giudice, M. Maggi, G. Lucarelli, G. Busetto, R. Autorino, M. Marchioni, F. Cantiello, F. Crocerossa, S. Luzzago, M. Piccinelli, F. Mistretta, Marco Tozzi, L. Schips, U. Falagario, A. Veccia, M. Vartolomei, G. Musi, O. de Cobelli, E. Montanari, O. Tătaru   +22 more
semanticscholar   +1 more source

Deep Learning Algorithms for the Prediction of Posttransplant Renal Function in Deceased-Donor Kidney Recipients: A Preliminary Study Based on Pretransplant Biopsy

Frontiers in Medicine, 2022
BackgroundPosttransplant renal function is critically important for kidney transplant recipients. Accurate prediction of graft function would greatly help in deciding acceptance or discard of allocated kidneys.Methods: Whole-slide images (WSIs) of H& ...
You Luo, Jing Liang, Xiao Hu, Zuofu Tang, Jinhua Zhang, Lanqing Han, Zhanwen Dong, Weiming Deng, Bin Miao, Yong Ren, Yong Ren, Ning Na   +11 more
doaj   +1 more source

Revolutionizing Chronic Kidney Disease Management with Machine Learning and Artificial Intelligence

Journal of Clinical Medicine, 2023
Chronic kidney disease (CKD) poses a significant public health challenge, affecting approximately 11% to 13% of the global population [...].
P. Krisanapan, Supawit Tangpanithandee, C. Thongprayoon, Pattharawin Pattharanitima, W. Cheungpasitporn   +4 more
semanticscholar   +1 more source

COVID-19 in solid organ transplant recipients: initial report from national multicenter observational study «ROKKOR-recipient»

Вестник трансплантологии и искусственных органов, 2020
We herein present our initial report from «ROKKOR-recipient», a national multicenter observational study. The prevalence, risk factors, clinical manifestations and outcomes of the novel coronavirus disease 2019 (COVID-19) in solid organ transplant ...
S. V. Gautier, A. O. Shevchenko, O. M. Tsirulnikova, S. M. Khomyakov, O. N. Kotenko, V. E. Vinogradov, I. N. Abyzov, G. D. Avetisyan, A. Yu. Anisimov, L. Yu. Artyukhina, M. T. Bekov, V. A. Berdinsky, V. S. Bogdanov, A. Yu. Bykov, A. Yu. Vinokurov, A. Yu. Goncharova, D. P. Evdokimov, D. V. Ezersky, V. E. Zagainov, V. M. Zakharevich, K. N. Zelenin, E. S. Ivanova, A. A. Kartashev, N. G. Kvadratova, I. G. Kim, N. N. Koloskova, V. L. Korobka, I. R. Kurbanuglov, M. A. Lysenko, I. A. Miloserdov, Ya. G. Moisyuk, G. V. Nikolaev, I. V. Ostrovskaya, N. Yu. Petrova, A. V. Petryaev, A. V. Pinchuk, V. S. Platonov, V. N. Poptsov, Z. A. Porchkhidze, D. A. Saydulaev, A. D. Sapozhnikov, S. B. Semchenko, M. M. Skorobogatov, V. Yu. Tereshchenko, N. F. Frolova, D. V. Khalikova, T. A. Khalilulin   +46 more
doaj   +1 more source

Artificial Intelligence in Surgical Training for Kidney Cancer: A Systematic Review of the Literature

Diagnostics, 2023
The prevalence of renal cell carcinoma (RCC) is increasing due to advanced imaging techniques. Surgical resection is the standard treatment, involving complex radical and partial nephrectomy procedures that demand extensive training and planning ...
Natali Rodriguez Peñaranda, A. Eissa, Stefania Ferretti, G. Bianchi, Stefano Di Bari, R. Farinha, Pietro Piazza, E. Checcucci, I. R. Belenchon, A. Veccia, J. Gómez Rivas, M. Taratkin, K. Kowalewski, S. Rodler, Pieter De Backer, G. Cacciamani, R. De Groote, Anthony G. Gallagher, A. Mottrie, S. Micali, S. Puliatti   +20 more
semanticscholar   +1 more source

Predicting long-term outcomes of kidney transplantation in the era of artificial intelligence

Scientific Reports, 2023
The ability to accurately predict long-term kidney transplant survival can assist nephrologists in making therapeutic decisions. However, predicting kidney transplantation (KT) outcomes is challenging due to the complexity of the factors involved ...
S. Badrouchi, M. Bacha, Abdulaziz Ahmed, Taieb Ben Abdallah, Ezzedine Abderrahim   +4 more
semanticscholar   +1 more source

Temporal trends of incident diabetes mellitus and subsequent outcomes in patients receiving kidney transplantation: a national cohort study in Taiwan

Diabetology & Metabolic Syndrome, 2020
Background Allograft kidney transplantation has become a treatment of choice for patients with end-stage renal disease (ESRD), and post-transplant diabetes mellitus (PTDM) has been associated with impaired patient and graft survival.
Hsuan Yeh, Chihung Lin, Yan-Rong Li, Chieh-Li Yen, Cheng-Chia Lee, Jung-Sheng Chen, Kuan-Hsing Chen, Ya-Chun Tian, Pi-Hua Liu, Ching-Chung Hsiao   +9 more
doaj   +1 more source