Transplantation

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

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Cross-convolutional transformer for automated multi-organs segmentation in a variety of medical images.

It is a huge challenge for multi-organs segmentation in various medical images based on a consistent...

Jan 2023 36623323
Machine learning using multi-modal data predicts the production of selective laser sintered 3D printed drug products.

Three-dimensional (3D) printing is drastically redefining medicine production, offering digital prec...

Jan 2023 36682506
Machine learning improves the accuracy of graft weight prediction in living donor liver transplantation.

Precise graft weight (GW) estimation is essential for planning living donor liver transplantation to...

Jan 2023 36168270
A deep learning based dual encoder-decoder framework for anatomical structure segmentation in chest X-ray images.

Automated multi-organ segmentation plays an essential part in the computer-aided diagnostic (CAD) of...

Jan 2023 36646735
The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science.

Laparoscopy is an imaging technique that enables minimally-invasive procedures in various medical di...

Jan 2023 36635312
Identify Hard-to-Place Kidneys for Early Engagement in Accelerated Placement With a Deep Learning Optimization Approach.

Recommended practices that follow match-run sequences for hard-to-place kidneys succumb to many decl...

Jan 2023 36641350
[Future perspectives in surgery from a German point of view].

In this article two aspects of the topic of future perspectives in surgery from a German point of vi...

Jan 2023 36593269
Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning.

In the field of computer science, known as artificial intelligence, algorithms imitate reasoning tas...

Dec 2022 36578657
A Flexible Memristor Model With Electronic Resistive Switching Memory Behavior and Its Application in Spiking Neural Network.

Memristive technologies are attractive due to their non-volatility, high-density, low-power and comp...

Dec 2022 35171775
Machine learning-based techniques to improve lung transplantation outcomes and complications: a systematic review.

BACKGROUND: Machine learning has been used to develop predictive models to support clinicians in mak...

Dec 2022 36564710
Opportunities and challenges of machine learning in bioprocesses: Categorization from different perspectives and future direction.

Recent advances in machine learning (ML) have revolutionized an extensive range of research and indu...

Dec 2022 36565818
Testing the delivery of human organ transportation with drones in the real world.

Last-mile transportation of human donor lungs in a densely populated urban environment has been made...

Dec 2022 36542685
A Brief Review of Artificial Intelligence in Genitourinary Oncological Imaging.

Genitourinary (GU) system is among the most commonly involved malignancy sites in the human body. Im...

Dec 2022 36515576
Predicting multipotency of human adult stem cells derived from various donors through deep learning.

Adult stem cell-based therapeutic approaches have great potential in regenerative medicine because o...

Dec 2022 36517519
Artificial Intelligence in Pediatric Nephrology-A Call for Action.

Artificial intelligence is playing an increasingly important role in many fields of clinical care to...

Dec 2022 36723276
Risk Classification and Subphenotyping of Acute Kidney Injury: Concepts and Methodologies.

Acute kidney injury (AKI) is a complex syndrome with a paucity of therapeutic development. One aspec...

Dec 2022 36470740
Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor-Recipient Matching?

Liver transplantation outcomes have improved in recent years. However, with the emergence of expande...

Nov 2022 36556945
Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer.

Although deep learning (DL) has demonstrated impressive diagnostic performance for a variety of comp...

Nov 2022 36516556
AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics.

Machine learning and in particular deep learning (DL) are increasingly important in mass spectrometr...

Nov 2022 36433986
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