AIMC Topic: Humans

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Robot-assisted donor hysterectomy in uterus transplantation - a modality to increase reproducibility.

Ginekologia polska
Uterus transplantation is a non-lifesaving vascularized composite allotransplantation procedure requiring immunosuppression until removal of the graft. The focus of uterus transplantation is changing regarding refining individual treatment procedures...

No-Reference Screen Content Image Quality Assessment With Unsupervised Domain Adaptation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In this paper, we quest the capability of transferring the quality of natural scene images to the images that are not acquired by optical cameras (e.g., screen content images, SCIs), rooted in the widely accepted view that the human visual system has...

The concept of spatial motion restriction zones in a robot-assisted surgical system.

Journal of robotic surgery
The development of robotics and medicine in recent years leads to increasing mutual integration of these two disciplines. The use of specialized robotic solutions in medicine poses new challenges, including the issue of safety. The paper analyzes exi...

Vascularity Outcomes of Lingual Artery Ligation in Transoral Robotic Base of Tongue Resections.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
To explore the effect of lingual artery ligation on tongue vascularity, we performed an analysis of 25 patients who underwent transoral robotic surgery for base of tongue cancers (May 2011 to December 2019). Hounsfield units of the intrinsic muscles ...

Choosing a Metamodel of a Simulation Model for Uncertainty Quantification.

Medical decision making : an international journal of the Society for Medical Decision Making
BACKGROUND: Metamodeling may substantially reduce the computational expense of individual-level state transition simulation models (IL-STM) for calibration, uncertainty quantification, and health policy evaluation. However, because of the lack of gui...

Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
The accurate identification of irreversible infarction and salvageable tissue is important in planning the treatments for acute ischemic stroke (AIS) patients. Computed tomographic perfusion (CTP) can be used to evaluate the ischemic core and deficit...

A machine learning approach to predicting risk of myelodysplastic syndrome.

Leukemia research
BACKGROUND: Early myelodysplastic syndrome (MDS) diagnosis can allow physicians to provide early treatment, which may delay advancement of MDS and improve quality of life. However, MDS often goes unrecognized and is difficult to distinguish from othe...

Deep probabilistic tracking of particles in fluorescence microscopy images.

Medical image analysis
Tracking of particles in temporal fluorescence microscopy image sequences is of fundamental importance to quantify dynamic processes of intracellular structures as well as virus structures. We introduce a probabilistic deep learning approach for fluo...