AIMC Topic: Humans

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Computational and Mathematical Methods in Medicine Prediction of COVID-19 in BRICS Countries: An Integrated Deep Learning Model of CEEMDAN-R-ILSTM-Elman.

Computational and mathematical methods in medicine
Since the outbreak of COVID-19, BRICS countries have experienced different epidemic spread due to different health conditions, social isolation measures, vaccination rates, and other factors. A descriptive analysis is conducted for the spread of the ...

Neurogenerative Disease Diagnosis in Cepstral Domain Using MFCC with Deep Learning.

Computational and mathematical methods in medicine
Because underlying cognitive and neuromuscular activities regulate speech signals, biomarkers in the human voice can provide insight into neurological illnesses. Multiple motor and nonmotor aspects of neurologic voice disorders arise from an underlyi...

Design and Implementation of Advanced Machine Learning Management and Its Impact on Better Healthcare Services: A Multiple Regression Analysis Approach (MRAA).

Computational and mathematical methods in medicine
In the current information and technology era, business enterprises are focusing in performing the process effectively by reducing the waiting time in completing the work, reduce latency and deploy the resources effectively so as to service the patie...

Vision Transformer and Deep Sequence Learning for Human Activity Recognition in Surveillance Videos.

Computational intelligence and neuroscience
Human Activity Recognition is an active research area with several Convolutional Neural Network (CNN) based features extraction and classification methods employed for surveillance and other applications. However, accurate identification of HAR from ...

Effect of Papaverine on Renal Artery Blood Flow during Robot-Assisted Partial Nephrectomy: A Randomized Controlled Study.

Annals of surgical oncology
BACKGROUND: During robot-assisted partial nephrectomy (RAPN), renal artery clamping is necessary to optimize the surgical field. However, renal artery clamping can induce renal blood flow reduction and postoperative renal dysfunction. Papaverine is u...

Machine learning approach to identify adverse events in scientific biomedical literature.

Clinical and translational science
Monitoring the occurrence of adverse events in the scientific literature is a mandatory process in drug marketing surveillance. This is a very time-consuming and complex task to fulfill the compliance and, most importantly, to ensure patient safety. ...

Hybrid Deep Learning Crystallographic Mapping of Polymorphic Phases in Polycrystalline Hf Zr O Thin Films.

Small (Weinheim an der Bergstrasse, Germany)
By controlling the configuration of polymorphic phases in high-k Hf Zr O thin films, new functionalities such as persistent ferroelectricity at an extremely small scale can be exploited. To bolster the technological progress and fundamental understan...

Rapid Progress in Intelligent Radiotherapy and Future Implementation.

Cancer investigation
Radiotherapy is one of the major approaches to cancer treatment. Artificial intelligence in radiotherapy (shortly, Intelligent radiotherapy) mainly involves big data, deep learning, extended reality, digital twin, radiomics, Internet plus and Interne...

The Atlantic divide: contrasting surgical robotics training in the USA, UK and Ireland.

Journal of robotic surgery
The uptake of robotic surgery is rapidly increasing worldwide across surgical specialties. However, there is currently a much higher use of robotic surgery in the United States of America (USA) compared to the United Kingdom (UK) and Ireland. Reduced...