A study published in Depression and Anxiety has revealed that a specially designed...
- AI-driven voice analysis used to diagnose post-traumatic stress disorder
- New technology can predict ON/OFF motor fluctuations in Parkinson’s patients
- Non-invasive vagus nerve stimulation may ease symptoms of rheumatoid arthritis
- Medbelle raises $7m to build ‘digital hospital’
- eTriage system aims to transform urgent care centres
AI-driven voice analysis used to diagnose post-traumatic stress disorder
A study published in Depression and Anxiety has revealed that a specially designed artificial intelligence (AI) can diagnose post-traumatic stress disorder (PTSD) through vocal biomarkers.
New technology can predict ON/OFF motor fluctuations in Parkinson’s patients
Researchers from Florida Atlantic University College of Engineering and Computer Science have developed wearable motion sensors to detect and monitor medication ON and OFF states in Parkinson’s patients.
New MRI technology could measure brain function in milliseconds
Scientists have developed a new technique to measure brain function in milliseconds using magnetic resonance imaging (MRI). Known as magnetic resonance elastography (MRE), the new technology could be used to help diagnose and understand numerous neurological diseases including Alzheimer’s, multiple sclerosis and epilepsy
Non-invasive vagus nerve stimulation may ease symptoms of rheumatoid arthritis
A series of pilot clinical studies has indicated that non-invasive external stimulation of the vagus nerve alleviates disease symptoms in patients with rheumatoid arthritis.
AI in healthcare: Should ‘medical machines’ be allowed to teach themselves?
Before a medical device is sold, it has to go through a whole series of approvals and regulations. Does it resemble a pre-existing device? Is this the first of its kind? What kind of risk does its misuse/misapplication put its patient at?
eTriage system aims to transform urgent care centres
A six-month trial at Queen Mary’s Hospital in Sidcup, UK has demonstrated the successful implementation of eTriage, an electronic triage system designed to reduce hospital waiting times by accelerating initial personal assessment.
UK researchers to develop new digital gait-monitoring technology
A research team at the University of Sheffield has secured funding to develop a monitoring system to assess a patient's health and wellbeing based on their gait.
Artificial intelligence can identify risk of familial hypercholesterolemia
Researchers at Stanford University School of Medicine have developed a new artificial intelligence algorithm that can identify whether or not a patient is at risk of developing familial hypercholesterolemia, a cholesterol-raising genetic disease, with up to 88% accuracy.
Breast implant-associated lymphoma: an example of post-market surveillance and device regulation
More than 350,000 women in the US underwent breast implant procedures in 2018, including both elected augmentation and post-mastectomy reconstruction.
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Rolf Rihs has been working at assembly system manufacturer Mikron Automation for nearly 17 years. Over that time, he has…