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Artificial Intelligence Homepage

BSWH to install Glassbeam's CLEAN blueprint to leverage machine uptime Will include integrated CMMS software by EQ2

Beyond the hype: How practical AI is enhancing radiology Insights from Imad B. Nijim, chief information officer for MEDNAX Radiology Solutions

Machine learning reduces false positives for lung cancer in low-dose CT False positives occur at rate of 96 percent

Siemens and ESR present first Digital Experience Hall at ECR Aims to stimulate exchange of thoughts and knowledge about digitization in radiology

Canon showcases CT image reconstruction tech and software upgrade at ECR Removing noise while preserving signals

Personalized cardiac test could eliminate unnecessary catheterizations Examines flow of blood with AI and CT

GE debuts work-in-progress algorithms at ECR 2019 For predicting no-shows and detecting the presence of pneumothoraces

Women's brains appear three years younger than men's at the same age: PET study A machine-learning algorithm assisted with the analysis

AI and personalized medicine to raise the bar in radiology reporting New innovations could provide myriad benefits to clinical workflow

Hologic launches Unifi Analytics to curb mammo downtime Predicting tube failures before they happen and setting performance benchmarks

Enhancing patient results utilizing robotics and artificial intelligence


Most importantly, robotic/AI therapy intervention provides quantifiable feedback on a patient’s progress and performance in a way that a human therapist cannot. A patient following stroke can struggle to understand their progress when performing a task without seeing gross motor improvements, like the ability to form a fist or wiggle their toes. Consequently, the patient can become dejected because they feel like they are not making progress in their recovery. The data capture and sensor abilities of these technologies will show the actual incremental improvements that the patient is making minute by minute, and day by day, because it can detect even the most subtle movements.

To be clear, the human element of therapy is certainly not obsolete. The human connection between a patient and a therapist is still a hugely important factor, as this type of patient treatment is often emotional, which is something a machine cannot yet provide. It is crucial, however, to supplement the human element with the incredible innovation of robotics, artificial intelligence, and machine learning, to provide the best care available for this growing patient population.
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About the author: Michal Prywata is co-founder and chief technology officer of Bionik Laboratories, a robotics company focused on providing rehabilitation and mobility solutions to individuals with neurological and mobility challenges.

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