AIMC Topic: Humans

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Discriminating TB lung nodules from early lung cancers using deep learning.

BMC medical informatics and decision making
BACKGROUND: In developing countries where both high rates of smoking and endemic tuberculosis (TB) are often present, identification of early lung cancer can be significantly confounded by the presence of nodules such as those due to latent TB (LTB)....

Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation.

Journal of medical Internet research
BACKGROUND: Recent work has shown the potential of using audio data (eg, cough, breathing, and voice) in the screening for COVID-19. However, these approaches only focus on one-off detection and detect the infection, given the current audio sample, b...

A Novel Deep Framework for English Communication Based on Educational Psychology Perspective.

Frontiers in public health
The impact of verbal reading practices on learning is examined from the perspective of educational psychology, using the motivation theory and the schema theory. This research intends to enhance learner's English communication abilities in response t...

Automation of Cephalometrics Using Machine Learning Methods.

Computational intelligence and neuroscience
Cephalometry is a medical test that can detect teeth, skeleton, or appearance problems. In this scenario, the patient's lateral radiograph of the face was utilised to construct a tracing from the tracing of lines on the lateral radiograph of the face...

Feature Extraction of Athlete's Post-Match Psychological and Emotional Changes Based on Deep Learning.

Computational intelligence and neuroscience
Athletes have had to deal with significant shifts in the way they think about psychology and emotion before and after attending a match in their respective fields. It has become increasingly difficult for players of any sport to overcome these differ...

Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis.

Computational intelligence and neuroscience
Geometric ability includes elements of identification, conceptualization, combination, drawing, and reasoning, and graphic perception is an important part of it. Kindergarten science education includes geometry instruction. Children are guided to per...

Fuzzy Medical Computer Vision Image Restoration and Visual Application.

Computational and mathematical methods in medicine
In order to shorten the image registration time and improve the imaging quality, this paper proposes a fuzzy medical computer vision image information recovery algorithm based on the fuzzy sparse representation algorithm. Firstly, by constructing a c...

Multisemantic Level Patch Merger Vision Transformer for Diagnosis of Pneumonia.

Computational and mathematical methods in medicine
The most popular test for pneumonia, a serious health threat to children, is chest X-ray imaging. However, the diagnosis of pneumonia relies on the expertise of experienced radiologists, and the scarcity of medical resources has forced us to conduct ...

Integrating artificial intelligence and natural language processing for computer-assisted reporting and report understanding in nuclear cardiology.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Natural language processing (NLP) offers many opportunities in Nuclear Cardiology. These opportunities include applications in converting nuclear cardiology imaging reports to digital searchable information that may be used as Big Data for machine le...

Lung-Optimized Deep-Learning-Based Reconstruction for Ultralow-Dose CT.

Academic radiology
RATIONALE AND OBJECTIVES: To evaluate the image properties of lung-specialized deep-learning-based reconstruction (DLR) and its applicability in ultralow-dose CT (ULDCT) relative to hybrid- (HIR) and model-based iterative-reconstructions (MBIR).