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Related papers: Decision Support System for Renal Transplantation

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To this day, there are still some countries where the exchange of kidneys between multiple incompatible patient-donor pairs is restricted by law. Typically, legal regulations in this context are put in place to prohibit coercion and…

Cryptography and Security · Computer Science 2022-06-03 Malte Breuer , Ulrike Meyer , Susanne Wetzel

The shortage of nephrologists and the growing public health concern over renal failure have spurred the demand for AI systems capable of autonomously detecting kidney abnormalities. Renal failure, marked by a gradual decline in kidney…

Computer Vision and Pattern Recognition · Computer Science 2024-04-26 Tahmim Hossain , Faisal Sayed , Solehin Islam

In this study, we present a novel clinical decision support system and discuss its interpretability-related properties. It combines a decision set of rules with a machine learning scheme to offer global and local interpretability. More…

Methodology · Statistics 2021-07-16 Francisco Valente , Simão Paredes , Jorge Henriques

Chronic Kidney Disease (CKD) constitutes a major global medical burden, marked by the gradual deterioration of renal function, which results in the impaired clearance of metabolic waste and disturbances in systemic fluid homeostasis. Owing…

Computer Vision and Pattern Recognition · Computer Science 2025-12-11 Anas Bin Ayub , Nilima Sultana Niha , Md. Zahurul Haque

Kidney volume is greatly affected in several renal diseases. Precise and automatic segmentation of the kidney can help determine kidney size and evaluate renal function. Fully convolutional neural networks have been used to segment organs…

Image and Video Processing · Electrical Eng. & Systems 2020-09-02 Omid Bazgir , Kai Barck , Richard A. D. Carano , Robby M. Weimer , Luke Xie

Kidney cancer is a global health concern, and accurate assessment of patient frailty is crucial for optimizing surgical outcomes. This paper introduces AI Age Discrepancy, a novel metric derived from machine learning analysis of…

Determining the type of kidney stones is crucial for prescribing appropriate treatments to prevent recurrence. Currently, various approaches exist to identify the type of kidney stones. However, obtaining results through the reference ex…

Computer Vision and Pattern Recognition · Computer Science 2025-05-26 Carlos Salazar-Ruiz , Francisco Lopez-Tiro , Ivan Reyes-Amezcua , Clement Larose , Gilberto Ochoa-Ruiz , Christian Daul

Kidney Exchange Programmes (KEPs) facilitate the exchange of kidneys, and larger pools of recipient-donor pairs tend to yield proportionally more transplants, leading to the proposal of international KEPs (IKEPs). However, as studied by…

Computer Science and Game Theory · Computer Science 2025-06-06 Rachael Colley , David Manlove , Daniel Paulusma , Mengxiao Zhang

With Polycystic Kidney Disease (PKD) potentially leading to fatal complications in patients due to the formation of cysts in kidneys, early detection of PKD is crucial for effective management of the condition. However, the various…

Machine Learning · Computer Science 2023-09-26 Kapil Panda , Anirudh Mazumder

In order for clinicians to manage disease progression and make effective decisions about drug dosage, treatment regimens or scheduling follow up appointments, it is necessary to be able to identify both short and long-term trends in…

Quantitative Methods · Quantitative Biology 2016-12-06 Norman Poh , Simon Bull , Santosh Tirunagari , Nicholas Cole , Simon de Lusignan

Thanks to advancements in diagnosis and treatment, prostate cancer patients have high long-term survival rates. Currently, an important goal is to preserve quality-of-life during and after treatment. The relationship between the radiation a…

Quantitative Methods · Quantitative Biology 2026-05-12 Zhijian Yang , Daniel Olszewski , Chujun He , Giulia Pintea , Jun Lian , Tom Chou , Ronald Chen , Blerta Shtylla

The ability to automatically learn task specific feature representations has led to a huge success of deep learning methods. When large training data is scarce, such as in medical imaging problems, transfer learning has been very effective.…

Computer Vision and Pattern Recognition · Computer Science 2017-04-21 Hariharan Ravishankar , Prasad Sudhakar , Rahul Venkataramani , Sheshadri Thiruvenkadam , Pavan Annangi , Narayanan Babu , Vivek Vaidya

In the last year more than 70,000 people have been brought to the UK hospitals with serious injuries. Each time a clinician has to urgently take a patient through a screening procedure to make a reliable decision on the trauma treatment.…

Artificial Intelligence · Computer Science 2008-05-27 L. Jakaite , V. Schetinin

Predicting invoice payment is valuable in multiple industries and supports decision-making processes in most financial workflows. However, the challenge in this realm involves dealing with complex data and the lack of data related to…

Artificial intelligence supports healthcare professionals with predictive modeling, greatly transforming clinical decision-making. This study addresses the crucial need for fairness and explainability in AI applications within healthcare to…

Machine Learning · Computer Science 2024-11-27 Chia-Hsuan Chang , Xiaoyang Wang , Christopher C. Yang

Risk prediction is central to both clinical medicine and public health. While many machine learning models have been developed to predict mortality, they are rarely applied in the clinical literature, where classification tasks typically…

Machine Learning · Statistics 2017-12-05 Maggie Makar , Marzyeh Ghassemi , David Cutler , Ziad Obermeyer

Currently in the United States, lung transplantations are allocated to candidates according to the candidates' Lung Allocation Score (LAS). The LAS is an ad-hoc ranking system for patients' priorities of transplantation. The goal of this…

Applications · Statistics 2020-04-20 Jingjing Zou , David J. Lederer , Daniel Rabinowitz

In the United States, prostate cancer is the second leading cause of deaths in males with a predicted 35,250 deaths in 2024. However, most diagnoses are non-lethal and deemed clinically insignificant which means that the patient will likely…

Machine Learning · Computer Science 2024-11-08 Benjamin Ng , Chi-en Amy Tai , E. Zhixuan Zeng , Alexander Wong

Over 10,000 candidates wait for a kidney transplantation in Eurotransplant, and are prioritized for transplantation based on the allocation rules of the Eurotransplant Kidney Allocation System (ETKAS) and Eurotransplant Senior Program…

Computers and Society · Computer Science 2025-02-24 H. C. de Ferrante , Rocio Laguna Goya , Bart M. L. Smeulders , Frits C. R. Spieksma , Ineke Tieken

The study of disparities in the liver transplantation process may focus on quantifying causal effects, particularly the average, direct, or indirect effects of various social determinants of health on being listed as a candidate for…