AIMC Topic: Humans

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Artificial intelligence techniques in asthma: a systematic review and critical appraisal of the existing literature.

The European respiratory journal
Artificial intelligence (AI) when coupled with large amounts of well characterised data can yield models that are expected to facilitate clinical practice and contribute to the delivery of better care, especially in chronic diseases such as asthma.Th...

Kinematic Calibration of a Parallel 2-UPS/RRR Ankle Rehabilitation Robot.

Journal of healthcare engineering
In order to better perform rehabilitation training on the ankle joint complex in the direction of dorsiflexion/plantarflexion and inversion/eversion, especially when performing the isokinetic muscle strength exercise, we need to calibrate the kinemat...

Forecasting outbound student mobility: A machine learning approach.

PloS one
BACKGROUND: A country's ability to become a prominent knowledge economy is tied closely to its ability to acquire skilled people who can compete internationally while resolving challenges of the future. To equip students with competence that can only...

Hospital robotic use for colorectal cancer care.

Journal of robotic surgery
The use of robotic surgery for colorectal cancer continues to increase. However, not all organizations offer patients the option of robotic intervention. This study seeks to understand organizational characteristics associated with the utilization of...

The effects of light touch cue on gait initiation in patients with Parkinson's disease.

Journal of bodywork and movement therapies
INTRODUCTION: One of the common impairments in patients with Parkinson's disease (PD) is disturbance of gait initiation. A light touch cue improves postural stability in patients with PD. Little is known about the effects of a light touch cue on gait...

Predicting Progression to Advanced Age-Related Macular Degeneration from Clinical, Genetic, and Lifestyle Factors Using Machine Learning.

Ophthalmology
PURPOSE: Current prediction models for advanced age-related macular degeneration (AMD) are based on a restrictive set of risk factors. The objective of this study was to develop a comprehensive prediction model applying a machine learning algorithm a...

T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.

European radiology
OBJECTIVES: To explore the associations between T1 and T2 magnetic resonance fingerprinting (MRF) measurements and corresponding tissue compartment ratios (TCRs) on whole mount histopathology of prostate cancer (PCa) and prostatitis.

Sharing and Selling Images: Ethical and Regulatory Considerations for Radiologists.

Journal of the American College of Radiology : JACR
Opportunities to share or sell images are common in radiology. But because these images typically originate as protected health information, their use admits a host of ethical and regulatory considerations. This article discusses four scenarios that ...

Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data.

Human brain mapping
This study explores how the human brain solves the challenge of flicker noise in motion processing. Despite providing no useful directional motion information, flicker is common in the visual environment and exhibits omnidirectional motion energy whi...