AIMC Topic: Humans

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Machine learning-assisted screening for cognitive impairment in the emergency department.

Journal of the American Geriatrics Society
BACKGROUND/OBJECTIVES: Despite a high prevalence and association with poor outcomes, screening to identify cognitive impairment (CI) in the emergency department (ED) is uncommon. Identification of high-risk subsets of older adults is a critical chall...

Deep learning for automated detection and numbering of permanent teeth on panoramic images.

Dento maxillo facial radiology
OBJECTIVE: This study aimed to evaluate an automated detection system to detect and classify permanent teeth on orthopantomogram (OPG) images using convolutional neural networks (CNNs).

Self-supervised driven consistency training for annotation efficient histopathology image analysis.

Medical image analysis
Training a neural network with a large labeled dataset is still a dominant paradigm in computational histopathology. However, obtaining such exhaustive manual annotations is often expensive, laborious, and prone to inter and intra-observer variabilit...

Using a multi-head, convolutional neural network with data augmentation to improve electropherogram classification performance.

Forensic science international. Genetics
DNA profiles are generated in forensic biology laboratories around the world. It is possible that these profiles are assessed by two independent people in order for the profiles to be 'read'. Recent work has been carried out to develop a neural netwo...

Walking-induced exposure of biological particles simulated by a children robot with different shoes on public floors.

Environment international
Inhalation exposure to the resuspended biological particles from public places can cause adverse effects on human health. In this work, carpet dust samples were first collected from twenty example conference and hotel rooms by a vacuum cleaner. A bip...

Advanced robotics as a support in healthcare organizational response: A COVID-19 pandemic case study.

Healthcare management forum
The use of robotics is becoming widespread in healthcare. However, little is known about how robotics can affect the relationship with patients during an emergency or how it impacts clinicians in their organization and work. As a hospital responding ...

Success stories of AI in drug discovery - where do things stand?

Expert opinion on drug discovery
INTRODUCTION: Artificial intelligence (AI) in drug discovery and development (DDD) has gained more traction in the past few years. Many scientific reviews have already been made available in this area. Thus, in this review, the authors have focused o...

Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison.

Medical engineering & physics
Leukemia is usually diagnosed by viewing the smears of blood and bone marrow using microscopes and complex Cytochemical tests can be used to authorize and classify leukemia. But these methods are costly, slow and affected by the proficiency and exper...

Automated detection and grading of Invasive Ductal Carcinoma breast cancer using ensemble of deep learning models.

Computers in biology and medicine
Invasive ductal carcinoma (IDC) breast cancer is a significant health concern for women all around the world and early detection of the disease may increase the survival rate in patients. Therefore, Computer-Aided Diagnosis (CAD) based systems can as...

Rapid Quality Assessment of Nonrigid Image Registration Based on Supervised Learning.

Journal of digital imaging
When preprocedural images are overlaid on intraprocedural images, interventional procedures benefit in that more structures are revealed in intraprocedural imaging. However, image artifacts, respiratory motion, and challenging scenarios could limit t...