AIMC Topic: Humans

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A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT.

Scientific reports
To investigate the performance of a joint convolutional neural networks-recurrent neural networks (CNN-RNN) using an attention mechanism in identifying and classifying intracranial hemorrhage (ICH) on a large multi-center dataset; to test its perform...

Machine learning outperforms clinical experts in classification of hip fractures.

Scientific reports
Hip fractures are a major cause of morbidity and mortality in the elderly, and incur high health and social care costs. Given projected population ageing, the number of incident hip fractures is predicted to increase globally. As fracture classificat...

Deep learning tools for the cancer clinic: an open-source framework with head and neck contour validation.

Radiation oncology (London, England)
BACKGROUND: With the rapid growth of deep learning research for medical applications comes the need for clinical personnel to be comfortable and familiar with these techniques. Taking a proven approach, we developed a straightforward open-source fram...

Is it real or not? Toward artificial intelligence-based realistic synthetic cytology image generation to augment teaching and quality assurance in pathology.

Journal of the American Society of Cytopathology
INTRODUCTION: Urine cytology offers a rapid and relatively inexpensive method to diagnose urothelial neoplasia. In our setting of a public sector laboratory in South Africa, urothelial neoplasia is rare, compromising pathology training in this specif...

Improved Stroke Care in a Primary Stroke Centre Using AI-Decision Support.

Cerebrovascular diseases extra
BACKGROUND: Patient selection for reperfusion therapies requires significant expertise in neuroimaging. Increasingly, machine learning-based analysis is used for faster and standardized patient selection. However, there is little information on how s...

Robot-Assisted Partial Cystectomy versus Open Partial Cystectomy for Patients with Urachal Cancer.

Urologia internationalis
INTRODUCTION: Localized urachal cancer (UrC) can be treated with an open partial cystectomy (OPC) with en bloc resection of the urachal remnant and umbilicus. Robot-assisted partial cystectomy (RAPC) is an alternative approach, of which its safety an...

Analyzing the Effect of Vaccination Over COVID Cases and Deaths in Asian Countries Using Machine Learning Models.

Frontiers in cellular and infection microbiology
Coronavirus Disease 2019 (COVID-19) is spreading across the world, and vaccinations are running parallel. Coronavirus has mutated into a triple-mutated virus, rendering it deadlier than before. It spreads quickly from person to person by contact and ...

Detecting obstructive sleep apnea by craniofacial image-based deep learning.

Sleep & breathing = Schlaf & Atmung
STUDY OBJECTIVES: This study aimed to develop a deep learning-based model to detect obstructive sleep apnea (OSA) using craniofacial photographs.

Development and validation of a deep learning-based algorithm for colonoscopy quality assessment.

Surgical endoscopy
BACKGROUND: Quality indicators should be assessed and monitored to improve colonoscopy quality in clinical practice. Endoscopists must enter relevant information in the endoscopy reporting system to facilitate data collection, which may be inaccurate...