Keynote: How to Expedite Medical AI Development in Thailand
Event: SCBX Unlocking AI EP4, Computer Vision: How AI See Things Like We Do
Collaboration: SCBX and Insiderly.ai
Venue: SCBX NextTech, Siam Paragon, 4th Floor
Speaker: Mr. Siudol Matyakur , Co-Founder, Cariva
Every human being is not the same. Everyone's health is different. If the medical community can find a way to care for patients in a personalized care manner or provide personalized treatment that is suitable for the patient's body, it will be very beneficial to keep patients healthy again.
At the SCBX UNLOCKING AI: EP4 Computer Vision: How AI See Things Like We Do, Mr. Sivadol Matakul, Co-Founder, Cariva gave a lecture on the topic "How to Expedite Medical AI Development in Thailand".
So if you want to make AI practical, you need to make it work. If it can be connected to the basic system or the smartphone system for people to use, it is not useful.
But if you can, From now on, patients may not have to waste time going to the hospital anymore and will be able to receive treatment via telemedicine from home. Doctors can also diagnose and analyze accurate data in just a few minutes.
Khun Sigodol gave an example that currently, The place with the most medical data There is information about the symptoms. The most common treatment is Siriraj Hospital, which treats at least 3 million patients per year, but few people have access to that information and can use it to improve medical standards and have to wait for more than a year if they really have to access that information, which may be too late.
In addition, there is the problem of PDPA, when patients do not allow the disclosure of information for medical use, there will be no data to analyze. It can continue to create benefits.
Not only outsiders cannot access the information. However, even in hospitals, there is still a problem of not being able to access the information of each internal department because different departments have different data collection patterns. If AI can actually help with the work, it will take a lot of time to clean data or organize data for a while.
Another problem is that in the past, there were startup organizations that used the model of collecting open source data from abroad and then applied it to Thai people. The results showed that the data obtained could not be applied effectively because the context of Thai and foreign lives was different. This led to the conclusion that Thailand should only have a data platform for Thai people to be able to use it effectively.
Mr. Siwadol took this opportunity to thank the database from Siriraj Hospital for collecting more than 3 million treatment data per year for development, which is very useful for his work, and hopes that in the near future, it will help one doctor to really treat patients with personalized care.
