Transplantation

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

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Spintronic leaky-integrate-fire spiking neurons with self-reset and winner-takes-all for neuromorphic computing.

Neuromorphic computing using nonvolatile memories is expected to tackle the memory wall and energy e...

Deep learning enabled multi-organ segmentation of mouse embryos.

The International Mouse Phenotyping Consortium (IMPC) has generated a large repository of three-dime...

Non-destructive classification of unlabeled cells: Combining an automated benchtop magnetic resonance scanner and artificial intelligence.

In order to treat degenerative diseases, the importance of advanced therapy medicinal products has i...

A 3D Tumor-Mimicking In Vitro Drug Release Model of Locoregional Chemoembolization Using Deep Learning-Based Quantitative Analyses.

Primary liver cancer, with the predominant form as hepatocellular carcinoma (HCC), remains a worldwi...

The impact of diabetes mellitus on pelvic organ prolapse recurrence after robotic sacrocolpopexy.

INTRODUCTION AND HYPOTHESIS: Data examining the effect of diabetes mellitus (DM) on prolapse recurre...

A robot is watching me!: Five-year-old children care about their reputation after interaction with a social robot.

Since robots are becoming involved in children's lives, it is urgent to determine how children perce...

Robot-assisted radial forearm free flap harvesting: a propensity score-matched case-control study.

Although some surgeons prefer anterolateral thigh and latissimus dorsi flap for soft tissue reconstr...

DapNet-HLA: Adaptive dual-attention mechanism network based on deep learning to predict non-classical HLA binding sites.

Human leukocyte antigen (HLA) plays a vital role in immunomodulatory function. Studies have shown th...

Socially assistive robots in health and social care: Acceptance and cultural factors. Results from an exploratory international online survey.

AIM: This study explored the views of an international sample of registered nurses and midwives work...

Early relaparotomy following pediatric living-donor liver transplantation: experience in an Indonesian national referral hospital.

BACKGROUND: Living donor liver transplantation (LDLT) remains the only curative treatment for childr...

An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation.

The aim of this study is to evaluate a regional deformable model based on a deep unsupervised learni...

A universal deep-learning model for zinc finger design enables transcription factor reprogramming.

CysHis zinc finger (ZF) domains engineered to bind specific target sequences in the genome provide a...

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...

Topologically preserved registration of 3D CT images with deep networks.

. Computed Tomography (CT) image registration makes fast and accurate imaging-based disease diagnosi...

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...

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...

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...

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...

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...

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