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Aidoc announces $27 million in VC funding to advance AI in imaging Brings company's total funding to $40 million

Fredrik Palm ContextVision appoints new CEO

New study questions patient understanding on AI in radiology Asserts that greater education and communication is required

ACR engages in collaborations for AI development with launch of AI-LAB platform Allows radiologists to create algorithms of their own

New AI software identifies make and model of cardiac implants in seconds Speed up diagnosis and delivery of treatment for patients with faulty devices

Dicom Systems scores enterprise imaging contract with Radiology Partners Will integrate IT and clinical workflows of more than 850 provider facilities

Apple study suggests wearable technology may be useful in detecting atrial fibrillation May assist in stroke and hospitalization prevention

Nvidia unveils Clara AI platform at GPU Technology Conference Equipped with 13 state-of-the-art classification and segmentation algorithms

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

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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