AIMC Topic: Transplant Recipients
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Advanced prognostic modeling with deep learning: assessing long-term outcomes in liver transplant recipients from deceased and living donors.
Journal of translational medicine
Feb 16, 2025
BACKGROUND: Predicting long-term outcomes in liver transplantation remain a challenging endeavor. This research aims to harness the power of deep learning to develop an advanced prognostic model for assessing long-term outcomes, with a specific focus...
Using machine learning for personalized prediction of longitudinal coronavirus disease 2019 vaccine responses in transplant recipients.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Dec 4, 2024
The coronavirus disease 2019 pandemic has underscored the importance of vaccines, especially for immunocompromised populations like solid organ transplant recipients, who often have weaker immune responses. The purpose of this study was to compare de...
Artificial intelligence-driven automated lung sizing from chest radiographs.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Aug 23, 2024
Lung size measurements play an important role in transplantation, as optimal donor-recipient size matching is necessary to ensure the best possible outcome. Although several strategies for size matching are currently used, all have limitations, and n...
A commentary on "Robot-assisted kidney transplantation as a minimally invasive approach for kidney transplant recipients: A systematic review and meta-analyses" [Int. J. Surg. 99 (2022) 106264].
International journal of surgery (London, England)
Jul 14, 2022
A commentary on "Robot-assisted kidney transplantation as a minimally invasive approach for kidney transplant recipients: A systematic review and meta-analyses" [Int. J. Surg. 99 (2022) 106264].
International journal of surgery (London, England)
Jul 11, 2022
Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study.
The Lancet. Digital health
Oct 28, 2021
BACKGROUND: Kidney allograft failure is a common cause of end-stage renal disease. We aimed to develop a dynamic artificial intelligence approach to enhance risk stratification for kidney transplant recipients by generating continuously refined predi...
Transplant Recipients
Humans
Renal Insufficiency
Allografts
Risk Assessment
Reproducibility of Results
Postoperative Complications
Adult
Area Under Curve
Kidney
Male
Bayes Theorem
Artificial Intelligence
Glomerular Filtration Rate
Middle Aged
Models, Biological
Kidney Transplantation
Proteinuria
Prognosis
Female
Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation.
PloS one
May 21, 2021
Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the increasing number of recipients and the small amount of donors in liver transplantation, the allocation method is crucial. In this paper, to establish a...
Dyspnea, effort and muscle pain during exercise in lung transplant recipients: an analysis of their association with cardiopulmonary function parameters using machine learning.
Respiratory research
Oct 15, 2020
BACKGROUND: Despite improvement in lung function, most lung transplant (LTx) recipients show an unexpectedly reduced exercise capacity that could be explained by persisting peripheral muscle dysfunction of multifactorial origin. We analyzed the cours...
Prediction modeling-part 2: using machine learning strategies to improve transplantation outcomes.
Kidney international
Sep 8, 2020
Kidney transplant recipients and transplant physicians face important clinical questions where machine learning methods may help improve the decision-making process. This mini-review explores potential applications of machine learning methods to key ...
Technological Innovation in Outpatient Assistance for Chronic Liver Disease and Liver Transplant Patients During the Coronavirus Disease Outbreak: A Method to Minimize Transmission.
Clinics (Sao Paulo, Brazil)
May 29, 2020
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