Coreline Mushy pronounces first China partnership
South Korean medical AI firm Coreline Mushy has entered into its first partnership in China.
It signed a memorandum of understanding with Suhai Info Know-how, which reportedly runs a community of medical establishments in China. Coreline Mushy will faucet into this community to acquire scientific knowledge, which is able to assist tailor its AI software program choices to native hospitals.
Moreover selling AI adoption as a part of early persistent illness analysis, Coreline Mushy and Suhai will even collaborate to analysis and develop new AI-based options, together with a CDSS platform. Moreover, they’ll work on a number of government-led well being analysis tasks focusing on persistent obstructive pulmonary illness and interstitial lung illness.
The Korean firm has recognized China, whose medical AI market is value round 38.8 billion yuan ($5 billion), as one of many three key Asian markets it targets for enlargement. It has already established its presence in each Taiwan and Japan.
Cureskin launches hair evaluation AI characteristic
Dermatology AI firm Cureskin from India has built-in a brand new AI characteristic on its cell software that analyses hairlines and detects male sample baldness.
In accordance with a media launch, its hair evaluation mannequin was skilled utilizing “hundreds of scientific photos” to determine early indicators of hair recession, thinning, and density discount. The Cureskin app additionally utilises superior picture processing to analyse images of a person’s hairline.
Final yr, Cureskin raised $20 million in Collection B funding to boost its AI capabilities.
Korean researchers develop lumbar stenosis AI
Researchers from Seoul Nationwide College Hospital (SNUH) have created an AI mannequin for diagnosing lumbar spinal stenosis on X-ray photos.
Based mostly on a media launch, the group utilised present AI fashions to coach their mannequin with X-ray photos of lumbar stenosis taken in impartial, flexed, and prolonged postures, which they stated reduces false-positive and detrimental errors.
In a examine, their mannequin demonstrated 91.4% accuracy in detecting the situation utilizing a set of X-ray photos from 5,000 SNUH sufferers from 2005 to 2017.
Lumbar stenosis is characterised by persistent again ache because of the spinal canal narrowing and compressing the nerves connecting the decrease physique.
The SNUH analysis group is now working to combine the AI right into a industrial software.
Remidio integrates danger evaluation in cell diabetic retinopathy screening
Remidio, developer of cell options for diabetic retinopathy (DR) screening in India, has just lately collaborated with Iceland-based RetinaRisk for know-how integration.
They built-in Remidio’s automated DR detection and baseline severity grading capabilities and RetinaRisk’s danger prediction algorithm with real-time retinal grading into cell DR point-of-care screening. A press launch famous that RetinaRisk’s algorithm has proven 85% accuracy in predicting DR and demonstrated potential to cut back screening frequency by 56%.
The companions will pilot the built-in answer in particular populations with excessive diabetes prevalence in India.
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