The COVID-19 pandemic is radically changing all parts of the economy. The medical industry is no exception. The unprecedented challenges posed by the pandemic is forcing the industry to make best use of scarce medical resources and make medical care more efficient by adopting innovative technology.
Among the many technologies that are applicable to the medical industry, deep learning vision, in particular, is receiving a lot of attention. The frequent use of CT, MRI, and X-ray scans in the medical sector has always meant the need for advanced image analysis. Deep learning is heralded as the gold standard of image analysis given its ability to learn without human supervision.
Neurocle, an AI startup specializing in deep learning vision, has garnered much attention by releasing Neuro-T & Neuro-R, general-purpose software that allow the medical industry to meet it unique demands better than traditional technology.
Deep learning model with limited resources
Creating a deep learning model usually requires a large amount of database as well as deep learning specialists. There are various solutions available in the market if businesses in the medical industry want to implement deep learning vision technology with limited resources. For example, it is common for large hospitals to partner up with an AI company by signing a memorandum of understanding (MoU). The AI company will usually build a customized solution on behalf of the hospital. Unfortunately, these solutions usually focus on the diagnosis of a select few diseases. If the hospital wants to adopt deep learning to diagnose rare or novel disease, of which a big database is difficult to acquire, there are very few existing solutions in the market. Neurocle’s deep learning vision software is developed to help businesses overcome these challenges.
Deep learning model without deep learning experts
If a business possesses plentiful images of scans but lack deep learning experts, this poses another barrier to building and implementing a deep learning model for medical research or diagnosis.Software that leverage Auto Deep Learning technology help eliminate the need for deep learning experts. As long as a business uploads enough images to the software, Auto Deep Learning allows it to build a deep learning model without any coding. Because Auto Deep Learning chooses the optimal set of hyperparameters for the user, it may be particularly useful for practicing medical professionals.
Deep learning and information security Despite the promises of image analysis through the web- or cloud-based solutions, the concern over security and privacy of medical information cannot be easily dismissed. These risks can be mitigated, however, if users can create and deploy deep learning models from their own local PC. Neurocle provides on-premises software, meaning the software server can be installed on a local PC in hospitals or research labs. This is most welcome for businesses in the medical sector, a lot of which handle sensitive, confidential information.
“We paid special attention to developing laypeople-friendly deep learning vision software that is suitable for diagnosing a wide range of illnesses,” said Hongsuk Lee, CEO of Neurocle. “Deep learning vision technology is only going to get more prevalent in the medical industry,” he added. Multiple Korean hospitals have incorporated Neurocle’s deep learning software into their research.
Neurocle specializes in deep learning vision. Its products—Neuro-T and Neuro-R—make deep learning technology accessible to even those without coding experience. Since its founding, Neurocle has partnered up with global vision data companies and has successfully entered approximately 10 foreign markets. Earlier this year it was supported by the incubator, Industrial Bank of Korea Chang Gong (IBK창공).