AIMC Topic: Humans

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Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network.

International journal of computer assisted radiology and surgery
PURPOSE: Transcranial magnetic stimulation (TMS) is a growing therapy for a variety of psychiatric and neurological disorders that arise from or are modulated by cortical regions of the brain represented by singular 3D target points. These target poi...

Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit.

Intensive care medicine
PURPOSE: Due to the increasing demand for intensive care unit (ICU) treatment, and to improve quality and efficiency of care, there is a need for adequate and efficient clinical decision-making. The advancement of artificial intelligence (AI) technol...

Machine Learning-Guided Prediction of Central Anterior Chamber Depth Using Slit Lamp Images from a Portable Smartphone Device.

Biosensors
There is currently no objective portable screening modality for narrow angles in the community. In this prospective, single-centre image validation study, we used machine learning on slit lamp images taken with a portable smartphone device (MIDAS) to...

In-Field Automatic Detection of Grape Bunches under a Totally Uncontrolled Environment.

Sensors (Basel, Switzerland)
An early estimation of the exact number of fruits, flowers, and trees helps farmers to make better decisions on cultivation practices, plant disease prevention, and the size of harvest labor force. The current practice of yield estimation based on ma...

Schizophrenia: A Survey of Artificial Intelligence Techniques Applied to Detection and Classification.

International journal of environmental research and public health
Artificial Intelligence in healthcare employs machine learning algorithms to emulate human cognition in the analysis of complicated or large sets of data. Specifically, artificial intelligence taps on the ability of computer algorithms and software w...

Translational precision medicine: an industry perspective.

Journal of translational medicine
In the era of precision medicine, digital technologies and artificial intelligence, drug discovery and development face unprecedented opportunities for product and business model innovation, fundamentally changing the traditional approach of how drug...

Artificial Neural Network-Based Deep Learning Model for COVID-19 Patient Detection Using X-Ray Chest Images.

Journal of healthcare engineering
The world is experiencing an unprecedented crisis due to the coronavirus disease (COVID-19) outbreak that has affected nearly 216 countries and territories across the globe. Since the pandemic outbreak, there is a growing interest in computational mo...

Reimagining robotic walkers for real-world outdoor play environments with insights from legged robots: a scoping review.

Disability and rehabilitation. Assistive technology
PURPOSE: For children with mobility impairments, without cognitive delays, who want to participate in outdoor activities, existing assistive technology (AT) to support their needs is limited. In this review, we investigate the control and design of a...

Learning from imbalanced COVID-19 chest X-ray (CXR) medical imaging data.

Methods (San Diego, Calif.)
The trendy task of digital medical image analysis has been continually evolving. It has been an area of prominent and growing importance from both research and deployment perspectives. Nonetheless, it is necessary to realize that the use of algorithm...