Coreline Tender declares first China partnership
South Korean medical AI firm Coreline Tender 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 Tender will faucet into this community to accumulate scientific knowledge, which can assist tailor its AI software program choices to native hospitals.
In addition to selling AI adoption as a part of early persistent illness analysis, Coreline Tender and Suhai may even collaborate to analysis and develop new AI-based options, together with a CDSS platform. Moreover, they may work on a number of government-led well being analysis initiatives concentrating on persistent obstructive pulmonary illness and interstitial lung illness.
The Korean firm has recognized China, whose medical AI market is price 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 utility that analyses hairlines and detects male sample baldness.
In response to a media launch, its hair evaluation mannequin was skilled utilizing “hundreds of scientific pictures” to establish early indicators of hair recession, thinning, and density discount. The Cureskin app additionally utilises superior picture processing to analyse photographs 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 pictures.
Primarily based on a media launch, the workforce utilised present AI fashions to coach their mannequin with X-ray pictures of lumbar stenosis taken in impartial, flexed, and prolonged postures, which they stated reduces false-positive and adverse errors.
In a research, their mannequin demonstrated 91.4% accuracy in detecting the situation utilizing a set of X-ray pictures 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 workforce is now working to combine the AI right into a industrial utility.
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 expertise 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 scale back screening frequency by 56%.
The companions will pilot the built-in answer in particular populations with excessive diabetes prevalence in India.
