Transplantation

Latest AI and machine learning research in transplantation for healthcare professionals.

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Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model.

Visual discrimination of tissue during surgery can be challenging since different tissues appear sim...

Robotic Radical Prostatectomy for Prostate Cancer in Renal Transplant Recipients: Results from a Multicenter Series.

BACKGROUND: Despite an expected increase in prostate cancer (PCa) incidence in the renal transplant ...

Machine learning and artificial intelligence in cardiac transplantation: A systematic review.

BACKGROUND: This review aims to systematically evaluate the currently available evidence investigati...

Adaptive Anti-Disturbance Control for Systems With Saturating Input via Dynamic Neural Network Disturbance Modeling.

This article discusses the issue of disturbance rejection and anti-windup control for a class of com...

An Artificial Intelligence-Based Cosmesis Evaluation for Temporomandibular Joint Reconstruction.

OBJECTIVE: Management of the temporomandibular joint (TMJ) following condylar resection remains chal...

Breakthroughs and Applications of Organ-on-a-Chip Technology.

Organ-on-a-chip (OOAC) is an emerging technology based on microfluid platforms and in vitro cell cul...

Open-source personal pipetting robots with live-cell incubation and microscopy compatibility.

Liquid handling robots have the potential to automate many procedures in life sciences. However, the...

Enhanced fractional-order PID control for a forced circulation evaporator system via advanced disturbance observer.

Strong disturbances, time delays, and coupling effects complicate the control of evaporator systems....

The learning curve for open and minimally-invasive kidney transplantation: a systematic review.

INTRODUCTION: There is lack of evidence on the impact of surgeons' learning curve on postoperative o...

Robust deep learning-based semantic organ segmentation in hyperspectral images.

Semantic image segmentation is an important prerequisite for context-awareness and autonomous roboti...

Arterial Hypertension and the Hidden Disease of the Eye: Diagnostic Tools and Therapeutic Strategies.

Hypertension is a major cardiovascular risk factor that is responsible for a heavy burden of morbidi...

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor.

Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - pri...

Machine Learning-Based Ultrasound Radiomics for Evaluating the Function of Transplanted Kidneys.

The aim of the study described here was to investigate the value of different machine learning model...

Identification of vaccine targets & design of vaccine against SARS-CoV-2 coronavirus using computational and deep learning-based approaches.

An unusual pneumonia infection, named COVID-19, was reported on December 2019 in China. It was repor...

Tackling the class imbalance problem of deep learning-based head and neck organ segmentation.

PURPOSE: The segmentation of organs at risk (OAR) is a required precondition for the cancer treatmen...

Architectural design and development of an upper-limb rehabilitation device: a modular synthesis approach.

PURPOSE: Enormous assistance is required during rehabilitation activities, which might result in a v...

Reversing radiation-induced immunosuppression using a new therapeutic modality.

Radiation-induced immune suppression poses significant health challenges for millions of patients un...

Mutual enhancing learning-based automatic segmentation of CT cardiac substructure.

Current segmentation practice for thoracic cancer RT considers the whole heart as a single organ des...

Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine.

The skin is the main organ. It is approximately 8 pounds for the average adult. Our skin is a truly ...

Comparison of Open and Robot-Assisted Kidney Transplantation in terms of Perioperative and Postoperative Outcomes.

BACKGROUND: The gold standard treatment method for end-stage renal disease (ESRD) is renal transplan...

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