01
Working together from the first question
Clinicians shape the question and evaluation context, engineers study learning from images, and platform developers connect these components with the user workflow. Development spans accuracy, data quality, and user understanding.
02
Sittiluck Wongwantanee
Sittiluck Wongwantanee contributes the clinical perspective on cardiac assessment, connecting questions from Rayong Hospital with research and knowledge exchange across healthcare networks.
He contributes to the 2024 research and Rayong study, and presents the EasyEF approach to help healthcare professionals understand AI as an input to assessment.
03
Thananop Kobchaisawat
Thananop Kobchaisawat contributes to AI and medical-image analysis, connecting clip-quality checks, preprocessing, and cardiac-function classification into a pipeline that can be tested and improved.
He coauthored the 2024 study with clinical and Chulalongkorn University computer-engineering colleagues, investigating assessment from smartphone-recorded videos.
04
Natawut Nupairoj
Natawut Nupairoj contributes to software architecture and AI infrastructure, connecting research with platform development and evaluation in clinical services.
He contributes to both the 2024 study and the Rayong evaluation, working with clinicians to connect technology questions with patient assessment and verifiable results.
05
เมธี นิลรัตน์
เมธี นิลรัตน์ develops the EasyEF platform and contributes as a co-researcher in Software Engineering / Platform Development, connecting the app, processing services, and reporting into one workflow.
His scope includes the Mobile Application, Backend API, Cloud-based AI Platform, and Dashboard / Clinical Report, together with user management, security, monitoring, and preparation for deployment and integration.
06
Learning with clinical teams
Beyond the core team, research contributors, nurses, and network personnel play important roles in data collection and evaluation. User experience helps us understand where the technology needs to adapt to care workflows.
We welcome collaborators interested in research questions, data quality, and practical workflows to help build the next stage of evidence.
SOURCE NOTES
Sources and published project summaries
- EasyEF team: project scope and development roadmap
- From an idea to the platform — by the EasyEF team
- The cardiac-assessment journey — by the EasyEF team
- 2024 published study — original journal article ↗
- EasyEF team: Rayong study report
Project content is compiled and published by the EasyEF team from development records, presentations and study reports. Internal links lead to the team’s summaries, not additional independent evidence. Published research links to its original journal; study status and limitations are stated in the relevant articles.
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