AIMC Topic: Humans

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High-precision prediction of blood glucose concentration utilizing Fourier transform Raman spectroscopy and an ensemble machine learning algorithm.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Raman spectroscopy has gained popularity in analyzing blood glucose levels due to its non-invasive identification and minimal interference from water. However, the challenge lies in how to accurately predict blood glucose concentrations in human bloo...

Attention-based deep learning framework to recognize diabetes disease from cellular retinal images.

Biochemistry and cell biology = Biochimie et biologie cellulaire
A medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Many people are visually impaired due to DR. Primary cause of DR in patients is high blood sugar, and it affects blood vessels available in the retinal cel...

Use of real-time immersive digital training and educational technologies to improve patient safety during the processing of reusable medical devices: Quo Vadis?

The Science of the total environment
Hospital acquired infections stemming from contaminated reusable medical devices are of increasing concern. This issue is exaggerated with the introduction of complex medical devices like endoscopes and robotic instrumentation. Although medical devic...

Artificial intelligence based real-time video ergonomic assessment and training improves resident ergonomics.

American journal of surgery
BACKGROUND: Surgery demands long hours and intense exertion raising ergonomic concerns. We piloted a sensorless artificial intelligence (AI)-assisted ergonomics analysis app to determine its feasibility for use with residents.

Standardized motion detection and real time heart rate monitoring of aerobics training based on convolution neural network.

Preventive medicine
In order to make the teaching and training of aerobics more standardized, it is necessary to use scientific means to detect and monitor the movement standardization in teaching and training and the change of human heart rate in the training process, ...

Does tumor rupture during robot-assisted partial nephrectomy have an impact on mid-term tumor recurrences?

Radiology and oncology
BACKGROUND: Intraoperative kidney tumor rupture (TR) can occur during robot-assisted partial nephrectomy (RAPN) in daily clinical practice, but there are no solid guidelines on the management and implications of it. The purpose of the study was to in...

A Transformer-Based Neural Network for Gait Prediction in Lower Limb Exoskeleton Robots Using Plantar Force.

Sensors (Basel, Switzerland)
Lower limb exoskeleton robots have shown significant research value due to their capabilities of providing assistance to wearers and improving physical motion functions. As a type of robotic technology, wearable robots are directly in contact with th...

Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study.

Journal of medical Internet research
BACKGROUND: Mood disorder has emerged as a serious concern for public health; in particular, bipolar disorder has a less favorable prognosis than depression. Although prompt recognition of depression conversion to bipolar disorder is needed, early pr...

Harnessing the power of AI: Advanced deep learning models optimization for accurate SARS-CoV-2 forecasting.

PloS one
The pandemic has significantly affected many countries including the USA, UK, Asia, the Middle East and Africa region, and many other countries. Similarly, it has substantially affected Malaysia, making it crucial to develop efficient and precise for...