AIMC Topic: Humans

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Deep Learning-Aided Automated Pneumonia Detection and Classification Using CXR Scans.

Computational intelligence and neuroscience
The COVID-19 pandemic has caused a worldwide catastrophe and widespread devastation that reeled almost all countries. The pandemic has mounted pressure on the existing healthcare system and caused panic and desperation. The gold testing standard for ...

A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity.

PloS one
The complex feature characteristics and low contrast of cancer lesions, a high degree of inter-class resemblance between malignant and benign lesions, and the presence of various artifacts including hairs make automated melanoma recognition in dermos...

Characterizing force capability and stiffness of hip exosuits under different anchor points.

PloS one
Exosuits have been broadly researched owing to their benefits from soft and deformable nature. However, compared to exoskeletons, the exosuits have disadvantages in that the deformation of suit and human tissue can cause dissipation, leading to low f...

A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
The attention mechanism of the Transformer has the advantage of extracting feature correlation in the long-sequence data and visualizing the model. As time-series data, the spatial and temporal dependencies of the EEG signals between the time points ...

The rehabilitation robot: factors influencing its use, advantages and limitations in clinical rehabilitation.

Disability and rehabilitation. Assistive technology
PURPOSE: Despite the proven effectiveness of rehabilitation robots (RR) in the literature, they are still little used in clinical rehabilitation. The aim of this study was to analyse the factors influencing the use of RR and the perception of therapi...

Deep learning model to identify homonymous defects on automated perimetry.

The British journal of ophthalmology
BACKGROUND: Homonymous visual field (VF) defects are usually an indicator of serious intracranial pathology but may be subtle and difficult to detect. Artificial intelligence (AI) models could play a key role in simplifying the detection of these def...

Automation in ART: Paving the Way for the Future of Infertility Treatment.

Reproductive sciences (Thousand Oaks, Calif.)
In vitro fertilisation (IVF) is estimated to account for the birth of more than nine million babies worldwide, perhaps making it one of the most intriguing as well as commoditised and industrialised modern medical interventions. Nevertheless, most IV...

Outcomes of open transverse abdominis release for ventral hernias: a systematic review, meta-analysis and meta-regression of factors affecting them.

Hernia : the journal of hernias and abdominal wall surgery
OBJECTIVES: The primary objectives were to evaluate Surgical Site Occurrences (SSO) and Surgical Site Occurrences requiring procedural Intervention (SSOPI) after open transversus abdominis release and to study various factors affecting it. Secondary ...

An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos.

Reproductive biomedicine online
RESEARCH QUESTION: Can better methods be developed to evaluate the performance and characteristics of an artificial intelligence model for evaluating the likelihood of clinical pregnancy based on analysis of day-5 blastocyst-stage embryos, such that ...