Corlene Lewis announces the first partnership of China
Coreline Soft in Coreline Soft entered its first partnership in China.
The Memorandum of Understanding was signed with Suhai Information Technology, which runs a network of medical institutions in China. Corenine Soft will settle on this network to collect clinical data, which will help adapt AI software offers to local hospitals.
Besides enhancing artificial intelligence adoption as part of the diagnosis of early chronic diseases, Coreline Soft and SUHAI will also cooperate to search and develop new artificial intelligence -based solutions, including the CDSS platform. In addition, they will work on many government -led health research projects that target chronic obstructive pulmonary disease and semantic lung diseases.
The Korean company has set China, which is worth about 38.8 billion yuan ($ 5 billion), as one of the three main Asian markets targeting it to expand. It has already proven its presence in Taiwan and Japan.
Cureskin launches AI’s Hair Analysis feature
AI Coreskin from India merged a new feature of artificial intelligence on its mobile application that analyzes Hairlines and discovers male baldness.
According to the publication of the media, its hair analysis model was trained using “thousands of clinical images” to determine early signs of hair stagnation, reduce and reduce density. Cureskin app also uses advanced images processing to analyze user’s poetic line.
Last year, Cureskin raised 20 million dollars in financing the series B to enhance the capabilities of artificial intelligence.
Korean researchers develop cotton narrowing Amnesty International
Researchers from Seoul National University Hospital (SNUH) created an Amnesty International model to diagnose the cotton spine narrowing on X -ray images.
Based on a media release, the team used the current artificial intelligence models to train its model using X -ray images to narrow the cotton that was taken in neutral, flexible and extended situations, which they said reduce positive and wrong negative errors.
In a study, their model showed 91.4 % in detection of the condition using a set of X -ray images of 5,000 SNUH patients from 2005 to 2017.
The cotton narrowing is characterized by a constant back pain due to the narrowing of the spine and the pressure of the nerves that link the bottom of the body.
Snuh Research is now integrating artificial intelligence into a commercial application.
Remidio combines risk assessment in moving diabetic retinopathy examination
Remidio, the developer of mobile phone solutions to examine DRIC (India), has cooperated with Iceland -based Rotinarisk.
They have combined DR automatic detection in Remidio, severe grades capabilities in the foundation line and risk prediction algorithm with Retinarisk with the actual time classification in examining mobile care points. A press release indicated that the Retinarisk algorithm showed a resolution of 85 % in the prediction of DR and showed the possibility of reducing the examination frequency by 56 %.
The partners will try an integrated solution in specific groups with the high rate of diabetes in India.