AIMC Topic: Humans

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A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection.

Frontiers in public health
Recently, the novel coronavirus disease 2019 (COVID-19) has posed many challenges to the research community by presenting grievous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that results in a huge number of mortalities and high morb...

Construction of Economic Data Management System Based on BP Neural Network.

Computational intelligence and neuroscience
In order to further understand the economic data management system and technology, in-depth research was conducted in the state of people's nervous system feeling. The method of building open platform algorithm to optimize and modify weight rule 2BP ...

Tutorial: Artificial neural networks to analyze single-case experimental designs.

Psychological methods
Since the start of the 21st century, few advances have had as far-reaching impact in science as the widespread adoption of artificial neural networks in fields as diverse as fundamental physics, clinical medicine, and psychology. In research methods,...

Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach.

Alzheimer's & dementia : the journal of the Alzheimer's Association
INTRODUCTION: Automated computational assessment of neuropsychological tests would enable widespread, cost-effective screening for dementia.

Applications of artificial intelligence multiomics in precision oncology.

Journal of cancer research and clinical oncology
Cancer is the second leading worldwide disease that depends on oncogenic mutations and non-mutated genes for survival. Recent advancements in next-generation sequencing (NGS) have transformed the health care sector with big data and machine learning ...

Diagnosis of urogenital cancer combining deep learning algorithms and surface-enhanced Raman spectroscopy based on small extracellular vesicles.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
PURPOSE: To identify and compare the capacities of serum and serum-derived small extracellular vesicles (EV) in diagnosis of common urogenital cancer combining Surface-enhanced Raman spectroscopy (SERS) and Convolutional Neural Networks (CNN).

Validity of at-home rapid antigen lateral flow assay and artificial intelligence read to detect SARS-CoV-2.

Diagnostic microbiology and infectious disease
BACKGROUND: The gold standard for COVID-19 diagnosis-reverse-transcriptase polymerase chain reaction (RT-PCR)- is expensive and often slow to yield results whereas lateral flow tests can lack sensitivity.

Robotic Surgery in Pediatric Urology: A Critical Appraisal of the GECI and SIVI Consensus of European Experts.

Journal of laparoendoscopic & advanced surgical techniques. Part A
This study aimed to create a consensus statement on the indications, applications, and limitations of robotics in pediatric urology. After a panel and interactive discussion focused on pediatric robotics, a televoting with 10 questions was administ...

Understanding Emotions in Children with Developmental Disabilities during Robot Therapy Using EDA.

Sensors (Basel, Switzerland)
Recent technological advancements have led to the emergence of supportive robotics to help children with developmental disabilities become independent. In conventional research, in robot therapy, experiments are often conducted by operating the robot...

Accessing Artificial Intelligence for Fetus Health Status Using Hybrid Deep Learning Algorithm (AlexNet-SVM) on Cardiotocographic Data.

Sensors (Basel, Switzerland)
Artificial intelligence is serving as an impetus in digital health, clinical support, and health informatics for an informed patient's outcome. Previous studies only consider classification accuracies of cardiotocographic (CTG) datasets and disregard...