01

The access problem

Both presentations describe the same gap: a hospital may have ultrasound equipment while cardiac image acquisition and interpretation still depend on skilled personnel. Equipment availability alone does not provide immediate access to specialist assessment. EasyEF addresses the gap between existing equipment and the ability to use its images for screening.

The aim is to give local clinical teams additional information for assessment and referral prioritization. Shorter waits and reduced hospital workload are development goals to evaluate; model accuracy alone does not establish these service benefits.

Source: CNF 2026, pp. 4–14; GPO 2026, pp. 3–7

02

The phone records an ultrasound display

In the studied approach, a clinician records the ultrasound machine display with a smartphone camera and sends the clip over the internet for processing. The phone camera does not examine the heart through the skin. The source remains an echocardiographic examination with suitable image quality.

The Mobile-first, Vendor-independent concept reduces dependence on direct hardware integration. Display characteristics, phone models, and local working conditions still require testing; this does not mean compatibility has been established for every device.

Source: CNF 2026, pp. 14, 26–34, 43; 2024 paper, pp. 127–129

03

Information for clinician decisions

EasyEF is Clinical Decision Support for screening and communicating an initial assessment. Clinicians still consider the clinical context and relevant investigations. Left ventricular function classification does not cover a complete cardiac examination and does not replace specialist diagnosis.

Report examples and guideline material in the slides show the product design direction. They are not instructions to start or change treatment on an AI result alone. This website presents project information and evidence for prospective partners.

Source: CNF 2026, pp. 17–20, 33–35; EasyEF project brief, 22 June 2026

04

Intended users and training

The project brief identifies general practitioners, internists, family physicians, cardiac nurses, and trained healthcare personnel as intended users. It proposes approximately 1–2 hours of application training covering view selection, clip recording and submission, and interpretation of the output.

This duration is a product-training plan, not evidence that every participant can immediately perform echocardiography independently. Readiness assessment also needs to consider clip quality, collaboration with clinicians, and organizational acceptance.

Source: EasyEF project brief, 22 June 2026; CNF 2026, pp. 26–34, 55

05

Two distinct stages of evidence

The 2024 publication reports 177 correct classifications among 184 test clips, or 96.2%. The later Rayong summary reports 93.6% overall accuracy among 218 participants. The first uses clips and the second participants, so their counts should not be pooled or their percentage difference interpreted as a model improvement or decline.

The intermediate category is a material limitation: Mildly Reduced EF was correct in 12 of 17 clips in the 2024 study, while fair LV accuracy was 27.3% in the Rayong summary. Publication and peer-review status for the Rayong summary have not been verified.

Source: 2024 paper, pp. 123–124, 130–132; CNF 2026, pp. 55–59

06

From a prototype to multisite evaluation

The 12-month project aims to progress from TRL 7 to TRL 9 with Multi-site Clinical Validation in at least five hospitals. Risk management, technical documentation, and SaMD readiness form part of that plan. These are not statements of completed validation or regulatory approval.

CNF page 52 records the GPO Ignite 2025 award, an innovation milestone distinct from clinical evidence. The next stage needs to connect system development with clinical workflow data and traceable evaluation.

Source: CNF 2026, pp. 42, 46–48, 52, 60; EasyEF project brief, 22 June 2026

SOURCE NOTES

Sources for this page

  1. เอกสารนำเสนอ / Presentation: EasyEF Lunch Symposium, CNF 17th, 26 March 2026 — หน้า / pp. 4–20, 26–35, 42–48, 52–60
  2. เอกสารนำเสนอ / Presentation: EasyEF AI Echo, GPO, 4 February 2026 — หน้า / pp. 3–8
  3. บทความวิจัยปี 2567 / 2024 original article — J Prapokklao Hosp Clin Med Educat Center 41(2):123–132 ↗
  4. บทคัดย่อการศึกษาระยอง ไทย–อังกฤษ หน้า 1–3 / Rayong study abstract, Thai and English, pp. 1–3; publication and peer-review status not verified / ยังไม่ยืนยันสถานะตีพิมพ์และการทบทวนโดยผู้ทรงคุณวุฒิ
  5. ข้อเสนอโครงการ EasyEF ฉบับ 22 มิถุนายน 2569: ขอบเขตและแผนงาน / EasyEF project brief, 22 June 2026: scope and planned work

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