AI Medical Compendium Topic:
Software

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InjectMeAI-Software Module of an Autonomous Injection Humanoid.

Sensors (Basel, Switzerland)
The recent pandemic outbreak proved social distancing effective in helping curb the spread of SARS-CoV-2 variants along with the wearing of masks and hand gloves in hospitals and assisted living environments. Health delivery personnel having undergon...

Toward a standard formal semantic representation of the model card report.

BMC bioinformatics
BACKGROUND: Model card reports aim to provide informative and transparent description of machine learning models to stakeholders. This report document is of interest to the National Institutes of Health's Bridge2AI initiative to address the FAIR chal...

Designing Deep Learning Hardware Accelerator and Efficiency Evaluation.

Computational intelligence and neuroscience
With the swift development of deep learning applications, the convolutional neural network (CNN) has brought a tremendous challenge to traditional processors to fulfil computing requirements. It is urgent to embrace new strategies to improve efficien...

General Industrial Environment and Health Design Software Using a Small Data-Driven Neural Network Model.

Journal of environmental and public health
The developed enterprise intellectual brain neural network platform for industrial environment and health design driven by small data converts the wisdom knowledge of enterprise designers into data and helps enterprises retain design experience, accu...

Establishment of low-cost laboratory automation processes using AutoIt and 4-axis robots.

SLAS technology
In most small laboratories, many processes are not yet automated because existing laboratory automation solutions are usually expensive and inflexible to use. Examples of this are autosamplers that are only compatible with one specific laboratory ins...

Deep convolutional neural network-based skeletal classification of cephalometric image compared with automated-tracing software.

Scientific reports
This study aimed to investigate deep convolutional neural network- (DCNN-) based artificial intelligence (AI) model using cephalometric images for the classification of sagittal skeletal relationships and compare the performance of the newly develope...

A Comparison of Decision Tree Algorithms in the Assessment of Biomedical Data.

BioMed research international
By comparing the performance of various tree algorithms, we can determine which one is most useful for analyzing biomedical data. In artificial intelligence, decision trees are a classification model known for their visual aid in making decisions. WE...

cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model.

Artificial intelligence in medicine
Cancer is a Toxic health concern worldwide, it happens when cellular modifications cause the irregular growth and division of human cells. Several traditional approaches such as therapies and wet laboratory-based methods have been applied to treat ca...

Invariant transformers of Robinson and Foulds distance matrices for Convolutional Neural Network.

Journal of bioinformatics and computational biology
The evolutionary histories of genes are susceptible of differing greatly from each other which could be explained by evolutionary variations in horizontal gene transfers or biological recombinations. A phylogenetic tree would therefore represent the ...

Integrating Deep Learning-Based IoT and Fog Computing with Software-Defined Networking for Detecting Weapons in Video Surveillance Systems.

Sensors (Basel, Switzerland)
Due to the widespread proliferation of multimedia traffic resulting from Internet of Things (IoT) applications and the increased use of remote multimedia-based applications, as a consequence of COVID-19, there is an urgent need to develop intelligent...