Machine learning tracks tremor severity over time in Parkinson’s
Wearable devices that use machine learning can accurately detect and rate Parkinson’s disease tremors outside the clinical setting.
Artificial Intelligence
Clinical Briefs for Friday, September 27
More stroke survivors should take statins: study … Artificial intelligence helps scientists predict depression outcomes … Inflammation the likely culprit in gene linked to Parkinson’s, Crohn’s and leprosy … Parkinson’s differs in men and women: estrogen may be the reason
Clinical Briefs for Thursday, September 26
A healthy diet may help prevent kidney disease … Blood pressure and prostate treatment may prevent or slow Parkinson’s … Hormone therapy tied to decreased diabetes biomarkers … Artificial intelligence as effective as health professionals in detecting disease
Clinical Briefs for Tuesday, August 27
Brookdale Senior Living explores use of artificial intelligence … $1.6M grant supports study of antipsychotic drugs and long-term care … Augmented reality glasses could help seniors better navigate with low vision … Interest in marijuana and cannabinoids for pain skyrockets
Clinical Briefs for Monday, August 12
Gait, non-motor symptoms perceived as chief Parkinson’s challenges … iPhone, Apple Watch data may spot signs of dementia … Depression in Alzheimer’s could signal cognitive decline … Predicting breast cancer recurrence with a blood test
Clinical Briefs for Friday, August 9
Lonely seniors may soon have emotionally intelligent AI companion … Low vitamin D tied to non-motor Parkinson’s symptoms … Study illuminates quality of life for seniors with knee osteoarthritis … 24-hour blood pressure measure best predicts cardiovascular disease
Loss of control: Exploring the links between falls and incontinence can improve resident care, safety scores and provider risk ratings
Exploring the links between falls and incontinence brings connections that can improve resident care, safety scores and provider risk ratings.
Keystone Technologies publishes resource
Keystone Technologies has published an e-book for senior housing executives interested in the role of artificial intelligence in passive health monitoring technology.
Advanced MRI, artificial intelligence techniques help identify those at risk for further cognitive decline
Combining advanced MRI and artificial intelligence techniques could help doctors determine which patients with mild cognitive impairment (MCI) will suffer further cognitive decline, according to new research.
