Transplantation

Reinforcement-Learning-Based Disturbance Rejection Control for Uncertain Nonlinear Systems.

This article investigates the reinforcement-learning (RL)-based disturbance rejection control for un...

ULMR: An Unsupervised Learning Framework for Mismatch Removal.

Due to radiometric and geometric distortions between images, mismatches are inevitable. Thus, a mism...

Artificial Intelligence Algorithm-Based MRI in the Diagnosis of Complications after Renal Transplantation.

This study was to explore the diagnostic value of magnetic resonance imaging (MRI) optimized by resi...

MTL-ABSNet: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.

Organ segmentation is one of the most important step for various medical image analysis tasks. Recen...

DeepSeqPanII: An Interpretable Recurrent Neural Network Model With Attention Mechanism for Peptide-HLA Class II Binding Prediction.

Human leukocyte antigen (HLA) complex molecules play an essential role in immune interactions by pre...

Snowflake: A deep learning-based human leukocyte antigen matching algorithm considering allele-specific surface accessibility.

Histocompatibility in solid-organ transplantation has a strong impact on long-term graft survival. A...

Is attention branch network effective in classifying dental implants from panoramic radiograph images by deep learning?

Attention mechanism, which is a means of determining which part of the forced data is emphasized, ha...

Nucleoside Triphosphate Hydrolases Assay in Toxoplasm gondii and Neospora caninum for High-Throughput Screening using a Robot Arm.

Protozoan parasites infect humans and many warm-blooded animals. Toxoplasma gondii, a major protozoa...

A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation.

BACKGROUND: We describe and evaluate a deep network algorithm which automatically contours organs at...

Identifying endotypes of individuals after an attack of pancreatitis based on unsupervised machine learning of multiplex cytokine profiles.

After an attack of pancreatitis, individuals may develop metabolic sequelae (eg, new-onset diabetes)...

Phenotypes of sickle cell intensive care admissions: an unsupervised machine learning approach in a single-center retrospective cohort.

Sickle cell disease (SCD) is associated with multiple known complications and increased mortality. T...

Advances in Organ-on-a-Chip Materials and Devices.

The organ-on-a-chip (OoC) paves a way for biomedical applications ranging from preclinical to clinic...

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].

Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease.

Organ volume measurements are a key metric for managing ADPKD (the most common inherited renal disea...

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].

Comparison of transvaginal mesh surgery and robot-assisted sacrocolpopexy for pelvic organ prolapse.

BACKGROUND: Pelvic organ prolapse (POP) is greatly affecting the quality of life (QOL) of women. The...

Provisional Decision-Making for Perioperative Blood Pressure Management: A Narrative Review.

Blood pressure (BP) is a basic determinant for organ blood flow supply. Insufficient blood supply wi...

Deep Learning-Based Intraoperative Stent Graft Segmentation on Completion Digital Subtraction Angiography During Endovascular Aneurysm Repair.

PURPOSE: Modern endovascular hybrid operating rooms generate large amounts of medical images during ...

Double-branch U-Net for multi-scale organ segmentation.

U-Net has achieved great success in the task of medical image segmentation. It encodes and extracts ...

Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation.

Artificial intelligence (AI) refers to computer algorithms used to complete tasks that usually requi...

Machine Learning for Renal Pathologies: An Updated Survey.

Within the literature concerning modern machine learning techniques applied to the medical field, th...