Latest AI and machine learning research in transplantation for healthcare professionals.
It is a huge challenge for multi-organs segmentation in various medical images based on a consistent...
Three-dimensional (3D) printing is drastically redefining medicine production, offering digital prec...
Precise graft weight (GW) estimation is essential for planning living donor liver transplantation to...
Automated multi-organ segmentation plays an essential part in the computer-aided diagnostic (CAD) of...
Laparoscopy is an imaging technique that enables minimally-invasive procedures in various medical di...
Recommended practices that follow match-run sequences for hard-to-place kidneys succumb to many decl...
Induced pluripotent stem cells (iPSCs) can be differentiated into mesenchymal stem cells (iPSC-MSCs)...
In this article two aspects of the topic of future perspectives in surgery from a German point of vi...
In the field of computer science, known as artificial intelligence, algorithms imitate reasoning tas...
Memristive technologies are attractive due to their non-volatility, high-density, low-power and comp...
BACKGROUND: Machine learning has been used to develop predictive models to support clinicians in mak...
Recent advances in machine learning (ML) have revolutionized an extensive range of research and indu...
Last-mile transportation of human donor lungs in a densely populated urban environment has been made...
Large slice thickness or slice increment causes information insufficiency of Computed Tomography (CT...
Genitourinary (GU) system is among the most commonly involved malignancy sites in the human body. Im...
Adult stem cell-based therapeutic approaches have great potential in regenerative medicine because o...
Artificial intelligence is playing an increasingly important role in many fields of clinical care to...
Acute kidney injury (AKI) is a complex syndrome with a paucity of therapeutic development. One aspec...
Liver transplantation outcomes have improved in recent years. However, with the emergence of expande...
Although deep learning (DL) has demonstrated impressive diagnostic performance for a variety of comp...
Machine learning and in particular deep learning (DL) are increasingly important in mass spectrometr...