AIMC Topic: Humans

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Automatic quantitative evaluation of normal pancreas based on deep learning in a Chinese adult population.

Abdominal radiology (New York)
OBJECTIVE: To develop a 3D U-Net-based model for the automatic segmentation of the pancreas using the diameters, volume, and density of normal pancreases among Chinese adults.

Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks.

Journal of cellular and molecular medicine
There is an unmet need of models for early prediction of morbidity and mortality of Coronavirus disease-19 (COVID-19). We aimed to a) identify complement-related genetic variants associated with the clinical outcomes of ICU hospitalization and death,...

Assessment of germinal matrix hemorrhage on head ultrasound with deep learning algorithms.

Pediatric radiology
BACKGROUND: Germinal matrix hemorrhage-intraventricular hemorrhage is among the most common intracranial complications in premature infants. Early detection is important to guide clinical management for improved patient prognosis.

COVID-19 detection in CT and CXR images using deep learning models.

Biogerontology
Infectious diseases pose a threat to human life and could affect the whole world in a very short time. Corona-2019 virus disease (COVID-19) is an example of such harmful diseases. COVID-19 is a pandemic of an emerging infectious disease, called coron...

Predicting Continuity of Asthma Care Using a Machine Learning Model: Retrospective Cohort Study.

International journal of environmental research and public health
Continuity of care (COC) has been shown to possess numerous health benefits for chronic diseases. Specifically, the establishment of its level can facilitate clinical decision-making and enhanced allocation of healthcare resources. However, the use o...

An Exploration: Alzheimer's Disease Classification Based on Convolutional Neural Network.

BioMed research international
Alzheimer's disease (AD) is the most generally known neurodegenerative disorder, leading to a steady deterioration in cognitive ability. Deep learning models have shown outstanding performance in the diagnosis of AD, and these models do not need any ...

Research on Management Efficiency and Dynamic Relationship in Intelligent Management of Tourism Engineering Based on Industry 4.0.

Computational intelligence and neuroscience
The digital age of artificial intelligence marks the rapid development of tourism engineering and the gradual improvement of intelligent management theory. This study aims to solve the problems of low efficiency of dynamic relationship analysis and l...

Efficacy and feasibility of robot-assisted partial nephrectomy for octogenarians: comparison with younger counterparts.

Journal of robotic surgery
To compare short-term functional and surgical outcomes of robot-assisted partial nephrectomy (RAPN) in patients ≥ 80 years old and their younger counterparts, we retrospectively analyzed 1234 patients who underwent robot-assisted partial nephrectomy....

Image-based laparoscopic camera steering versus conventional steering: a comparison study.

Journal of robotic surgery
In the last 2 decades, multiple robotic camera holders have been developed to improve camera steering during laparoscopic surgery. A new image-based steering method has been developed for more intuitive camera control. In this article, the efficiency...