Hongkong – Aug 13, 2019 – In the current medical context, shortage of film reading doctors and inefficient film reading are commonly seen problems. Meanwhile, quality medical resources are mainly provided in large cities while medical resources are relatively in short in small cities or remote areas. Intelligence computing designed for medical imaging is not real-time effective in professional medical scenarios. In particular, the edge computing is not intelligent enough.
On the basis of solving the problem of medical data privacy protection, LEBEN applies AI to homogenized medical services to effectively speed up data analysis and improve the precision of judgment. In small cities or remote areas, a user can enjoy quality medical services as those in large cities through his terminal device.
LEBEN, a Perfect Combination of AI and Medical Technologies
AI helps doctors to solve complicated medical problems in clinical diagnosis, inheriting and bringing medical experts’ valuable theories and rich clinical experience into full play while serving as an auxiliary tool for doctors’ diagnosis. In general, AI has the following functions in the medical field:
(1) Provides doctors with complete and effective information so as to provide scientific, reliable basis for disease diagnosis and treatment.
(2) Greatly increases the automation of determining and analyzing processes for medical data, thus greatly improving work efficiency, reducing young people’s workload and minimizing subjective arbitrariness.
(3) Gathers experts’ knowledge to help doctors to make more reliable, more accurate judgment. With increasing cases, AI can also enrich the system’s knowledge, accumulate and analyze knowledge automatically or through manual intervention so as to improve medical level.
Medical imaging data is an important part of medical data, wherein, more than 90% of image data are medical data in terms of quantity, and these data comprising CT,X ray, MRI, PET, etc., in terms of generating devices. According to statistics, the annual growth rate of medical imaging data is 63% while the annual growth rate of radiology doctors is just 2%, suggesting a big gap in supply of radiology doctors. The good news is that the combination of AI technologies and medical imaging can hopefully alleviate such problems.
In LEBEN plans, scenarios where AI technologies are combined with medical imaging diagnosis include lung cancer detection, fundus examination for diabetic retinopathy, esophageal cancer detection, the nuclear medical examination and pathology examination of some illnesses, and more. By means of relieving the shortage of doctors through AI technologies, LEBEN helps to improve doctors’ working efficiency and achieves health management for residents.
LEBEN is an smart-contract-based collaboration platform that technologically features “creditable medical data exchange”and“profound sharing of medical knowledge”. The trusted computing technologies ensure that the data is not duplicated, moved or visible during the process of exchange so as to ensure trusted data exchange between different institutions, different areas and different countries. Meanwhile, with another knowledge computerization technology we develop, doctors can easily turn their own knowledge into smart contracts so as to carry out effective studies and even provide auxiliary decisions for diagnosis and treatment. This technology will help to achieve in-depth sharing of medical knowledge. With the application and development of trusted data and the participation of all ecological parties, LEBEN will promote the rapid development of digital petroleum economy and healthcare homogenization, benefiting billions of people.
Know more at LEBEN official website: https://leben.pro
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