AIMC Topic: Humans

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Deep learning-based ultrasonic dynamic video detection and segmentation of thyroid gland and its surrounding cervical soft tissues.

Medical physics
BACKGROUND: The prevalence of thyroid diseases has been increasing year by year. In this study, we established and validated a deep learning method (Cascade region-based convolutional neural network, R-CNN) based on ultrasound videos for automatic de...

GoVec: Gene Ontology Representation Learning Using Weighted Heterogeneous Graph and Meta-Path.

Journal of computational biology : a journal of computational molecular cell biology
Biomedical knowledge graphs are crucial to support data-intensive applications in the life sciences and health care. These graphs can be extended by generating a heterogeneous graph that contains both ontology terms and biomedical entities. However, ...

Cancer-Cell Deep-Learning Classification by Integrating Quantitative-Phase Spatial and Temporal Fluctuations.

Cells
We present a new classification approach for live cells, integrating together the spatial and temporal fluctuation maps and the quantitative optical thickness map of the cell, as acquired by common-path quantitative-phase dynamic imaging and processe...

Association between Ureteral Clamping Time and Acute Kidney Injury during Robot-Assisted Radical Cystectomy.

Current oncology (Toronto, Ont.)
Robot-assisted radical cystectomy (RARC) is replacing open radical cystectomy (ORC) and requires clamping of the ureters, resulting in a predisposition to postrenal acute kidney injury (AKI). We investigated the association between ureteral clamping ...

Stock Price Movement Prediction Using Sentiment Analysis and CandleStick Chart Representation.

Sensors (Basel, Switzerland)
Determining the price movement of stocks is a challenging problem to solve because of factors such as industry performance, economic variables, investor sentiment, company news, company performance, and social media sentiment. People can predict the ...

Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) holds the promise of supporting nurses' clinical decision-making in complex care situations or conducting tasks that are remote from direct patient interaction, such as documentation processes. There has been ...

Using systems thinking methodologies to address health care complexities and evidence implementation.

JBI evidence implementation
BACKGROUND: Despite health care advances, artificial intelligence and government interventions aiming to improve the health and wellbeing of citizens, huge disparities and failures in care provision exist. This is demonstrated by the rising number of...

How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care.

BMC medical informatics and decision making
BACKGROUND: Much has been invested in big data and artificial intelligence-based solutions for healthcare. However, few applications have been implemented in clinical practice. Early economic evaluations can help to improve decision-making by develop...

Alimentary tract obstruction attributed to use of barbed suture for double tract reconstruction after robot-assisted proximal gastrectomy: a case report.

BMC surgery
BACKGROUND: Anastomotic stenosis following esophagojejunostomy reconstruction by the overlap method with absorbable barbed sutures occurs only rarely in patients who have undergone laparoscopic surgery. We report anastomotic stenosis by the overlap m...

Creating a training set for artificial intelligence from initial segmentations of airways.

European radiology experimental
Airways segmentation is important for research about pulmonary disease but require a large amount of time by trained specialists. We used an openly available software to improve airways segmentations obtained from an artificial intelligence (AI) tool...