AIMC Topic: Humans

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A new deep learning technique reveals the exclusive functional contributions of individual cancer mutations.

The Journal of biological chemistry
Cancers are caused by genomic alterations that may be inherited, induced by environmental carcinogens, or caused due to random replication errors. Postinduction of carcinogenicity, mutations further propagate and drastically alter the cancer genomes....

Impact of an artificial intelligence deep-learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study.

Medical physics
BACKGROUND: Recently, computed tomography (CT) manufacturers have developed deep-learning-based reconstruction algorithms to compensate for the limitations of iterative reconstruction (IR) algorithms, such as image smoothing and the spatial resolutio...

Robotic Pancreatoduodenectomy for Pancreatic Head Cancer: a Case Report of a Standardized Technique.

Journal of visualized experiments : JoVE
Robotic pancreatoduodenectomy (RPD) for pancreatic cancer is a challenging procedure. Aberrant vasculature may increase the technical difficulty. Several studies have described the safety of RPD in case of a replaced or aberrant right hepatic artery,...

A Machine Learning Approach for Predicting Non-Suicidal Self-Injury in Young Adults.

Sensors (Basel, Switzerland)
Artificial intelligence techniques were explored to assess the ability to anticipate self-harming behaviour in the mental health context using a database collected by an app previously designed to record the emotional states and activities of a group...

A Machine Learning Model for Predicting Sit-to-Stand Trajectories of People with and without Stroke: Towards Adaptive Robotic Assistance.

Sensors (Basel, Switzerland)
Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of ambulation and gait. However, the ability to perform these motions can be severely impaired by different factors, such as the occurrence of a stroke,...

Drowsiness Detection Using Ocular Indices from EEG Signal.

Sensors (Basel, Switzerland)
Drowsiness is one of the main causes of road accidents and endangers the lives of road users. Recently, there has been considerable interest in utilizing features extracted from electroencephalography (EEG) signals to detect driver drowsiness. Howeve...

What can we learn about the psychiatric diagnostic categories by analysing patients' lived experiences with Machine-Learning?

BMC psychiatry
BACKGROUND: To deliver appropriate mental healthcare interventions and support, it is imperative to be able to distinguish one person from the other. The current classification of mental illness (e.g., DSM) is unable to do that well, indicating the p...

A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture.

BMC bioinformatics
Glioma is the most aggressive and dangerous primary brain tumor with a survival time of less than 14 months. Segmentation of tumors is a necessary task in the image processing of the gliomas and is important for its timely diagnosis and starting a tr...

The Management of Educational Talents in Vocational Colleges Based on Wireless Network in the Artificial Intelligence Era.

Computational intelligence and neuroscience
Faced with the AI (artificial intelligence) era, it is both theoretically and practically important to examine the challenges and opportunities that vocational college education in China faces, as well as to actively explore how vocational college ed...

A Micro Neural Network for Healthcare Sensor Data Stream Classification in Sustainable and Smart Cities.

Computational intelligence and neuroscience
A smart city is an intelligent space, in which large amounts of data are collected and analyzed using low-cost sensors and automatic algorithms. The application of artificial intelligence and Internet of Things (IoT) technologies in electronic health...