medical treatment

The AI of the future, Digital transformation is a must for healthcare

As the digital transformation of the healthcare system accelerates after COVID-19, new medical technologies that combine information and communication technologies such as AI, big data, and cloud are gaining traction. In particular, the public's trust in medical intelligence (medical + artificial intelligence) technologies that diagnose patients by learning medical data is increasing. Meanwhile, various DX challenges still remain, such as medical information security issues and the lack of technical skills among healthcare workers. With digital transformation solving healthcare's problems and transforming existing systems, how do we get started?

DX Worries in the Healthcare Industry

1
There is a high sense of digital transformation and it is the area where digital transformation should be done the fastest, so where should I start?
2
As patient-centered medical services are strengthened, the demand for precision medical care that provides optimal customized services by integrating and analyzing all personal data is increasing.

3
The medical industry is highly professional, but I am also concerned about the lack of expertise in digital transformation.

Elice DX solution. You can use it like this

Advanced industry-tailored project training using refined datasets

Courses that require expertise such as healthcare are designed by obtaining proven data and recruiting experts. It is an industry-specific project that helps trainees apply their learning to their actual work.

Strengthen video and example materials to help you understand learning

Advanced theories that are difficult to understand by text alone require different ways of learning. Strengthen video materials and various algorithm use cases to improve students' understanding of learning and lower psychological barriers to programming learning.

의료 인공지능 트렌드에 부합하는 데이터 분석 실습 교육과정

You can learn theory and practice using cancer diagnosis data provided by actual medical schools. You can learn machine learning and deep learning by making your own code, and at the same time gain insights on how to use AI in the areas of diagnosis, prevention, and treatment.

Elice DX Solutions Check out the results

AI Medical Image Analysis PBL, Key to Advanced Medical Care

The possibility of using AI in the field was reviewed by conducting disease diagnosis project education (PBL) through image analysis, such as the "Lung Disease Prediction Project Using Chest X-ray Data."

Patient Care Record (EMR) Data Utilization Project

By using electronic medical records to predict ICU mortality from vital signs data, we have accelerated the review of AI applications in the public health sector.

Achieve 93% completion rate of basic courses in deep learning

84% of those who completed artificial intelligence training said, "The composition and content of the training were effective and helped the development of the medical AI industry."

Operate training tailored to the schedule of healthcare workers

In order to complete the education until the end despite busy and irregular schedules, we encouraged and consulted based on learner's course patterns, and supplemented the curriculum by reflecting feedback.

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