01

Chapter 1 • Team and access barriers | Pages 1–4

The deck opens with Echo AI and introduces Sittiluck Wongwantanee, Thananop Kobchaisawat, and Natawut Nupairoj. It then frames the problem: cardiac assessment matters, but access to specialists and personnel able to perform echocardiography is limited.

Page 3 uses prognosis and treatment-benefit figures to explain the importance of the problem. Those figures are not EasyEF trial results demonstrating a mortality reduction. The relevant takeaway here is the need to improve access to appropriate assessment.

Source: GPO 2026, pp. 1–4

02

Chapter 2 • The product concept | Pages 5–7

The Product Overview proposes a Mobile Application that helps local clinical personnel use examination data. Page 7 links AI with the smartphone camera and cites the 2024 paper, rounding its result to approximately 96%. The central concept is to work with images from existing equipment rather than require an entirely new ultrasound system.

For precise reporting, return to the 2024 result: 177 of 184 test clips, or 96.2%, alongside the Mildly Reduced EF limitation of 12/17 clips. Product comparisons do not establish replacement of specialist examination.

Source: GPO 2026, pp. 5–7; 2024 paper, pp. 123–124, 127–129

03

Chapter 3 • Development and medical-device preparation | Pages 8–11

Page 8 sets out parallel activities: medical-device registration, testing in clinical practice, contacting additional data sources and training a subsequent AI version, and establishing a legal entity. Pages 9–10 cover application testing in practice, showing the transition from a model toward an operational workflow.

Page 11 connects AI medical software with quality systems, risk, software development, and usability, referencing ISO 13485, ISO 14971, IEC 62304, and IEC 62366. This is readiness planning, not evidence of certification or SaMD authorization.

Source: GPO 2026, pp. 8–11

04

Chapter 4 • Heart-failure clinic context | Pages 12–14

Following the adoption discussion, page 13 introduces readmission and mortality indicators. Page 14 presents a heart-failure clinic framework organized by personnel, resources, activities, and service frequency across institutional levels.

This chapter places AI within a service that depends on people and coordinated care processes; it does not replace the clinic as a whole. The slide table is presentation context as of that date, not a current clinical guideline or an EasyEF endorsement by the named organizations.

Source: GPO 2026, pp. 12–14

05

Chapter 5 • Regional engagement | Pages 15–18

The slides identify activities on 4 August 2025 at Chiangrai Prachanukroh Hospital, Health Region 1; 7 August at Chonburi Hospital, Region 6; 22 August at Khon Kaen Hospital, Region 7; and 29 September at Surat Thani Hospital, Region 11.

Dates and locations document engagement with clinical-service networks, but do not specify study sample sizes, evaluation protocols, or site-level results. These four activities must not be counted as four hospitals with completed clinical validation.

Source: GPO 2026, pp. 15–18

06

Chapter 6 • The 2026 agenda | Page 19

The agenda proposes a February meeting with Thai Heart, a March hands-on echo activity at CNF in Suphan Buri, and visits to four further regions during April–December 2026. It shows an intention to extend training and network engagement.

An agenda entry does not establish that an activity occurred. Completion requires subsequent activity records or reports. The same distinction applies to multisite evaluation targets in the project brief.

Source: GPO 2026, p. 19

07

Chapter 7 • Devices and future collaboration | Pages 20–24

The closing chapter introduces project development, proposes integration with handheld ultrasound on page 21, and presents point-of-care ultrasound as a future physician tool on page 22. It then opens the topic of a next phase with GPO before the closing page.

Efficiency and accuracy improvements in the device concept are development aims. This chapter does not supply a comparative device study to establish them. The guide therefore separates this direction from dataset-based research results and connects it to the technology and roadmap pages.

Source: GPO 2026, pp. 20–24

SOURCE NOTES

Sources for this page

  1. เอกสารนำเสนอ / Presentation: EasyEF AI Echo, GPO, 4 February 2026 — หน้า / pp. 1–24
  2. บทความวิจัยปี 2567 / 2024 original article — J Prapokklao Hosp Clin Med Educat Center 41(2):123–132 ↗
  3. ข้อเสนอโครงการ EasyEF ฉบับ 22 มิถุนายน 2569: ขอบเขตและแผนงาน / EasyEF project brief, 22 June 2026: scope and planned work

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