Digital tools in heart failure: addressing unmet needs
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This Series paper provides an overview of digital tools in heart failure care, encompassing screening, early diagnosis, treatment initiation and optimisation, and monitoring, and the implications these tools could have for research. The current medical environment favours the implementation of digital tools in heart failure due to rapid advancements in technology and computing power, unprecedented global connectivity, and the paradigm shift towards digitisation. Despite available effective therapies for heart failure, substantial inadequacies in managing the condition have hindered improvements in patient outcomes, particularly in low-income and middle-income countries. As digital health tools continue to evolve and exert a growing influence on both clinical care and research, establishing clinical frameworks and supportive ecosystems that enable their effective use on a global scale is crucial.
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In low- and middle-income settings, the appeal of AI-ECG lies not in an already mature external-validation literature, but in the possibility of adding a scalable, low-cost triage layer upstream of formal imaging.
“In such settings, the appeal of AI-ECG lies not in an already mature external-validation literature, but in the possibility of adding a scalable, low-cost triage layer upstream of formal imaging.”
From AI-ECG for Echocardiography Triage in Structural Heart Disease: Evidence, Implementation, and Future Directions (2026) · cites this paper as [65]
The Introduction proposes AI-enabled ECG as an inexpensive screening tool in low- and middle-income countries, with patients identified for subsequent AI-guided diagnostic echocardiography. It does not assess whether the external-validation literature is mature, so that contrast is not supported by this source. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe rationale for AI-ECG screening may be strongest in low- and middle-income settings, where heart failure and other echocardiography-detectable cardiac disorders are often recognized late and access to echocardiography remains constrained by cost, workforce, and infrastructure.
“The rationale for AI-ECG screening may be strongest in low- and middle-income settings, where heart failure and other echocardiography-detectable cardiac disorders are often recognized late and access to echocardiography remains constrained by cost, workforce, and infrastructure.”
From AI-ECG for Echocardiography Triage in Structural Heart Disease: Evidence, Implementation, and Future Directions (2026) · cites this paper as [65]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredRecent global reviews have emphasized that the unmet need for AI-ECG screening may be greatest in LMICs, provided that implementation is accompanied by appropriate clinical pathways and treatment linkage.
“Recent global reviews of heart failure and digital cardiovascular tools have accordingly emphasized that the unmet need may be greatest in LMICs, provided that implementation is accompanied by appropriate clinical pathways and treatment linkage.”
From AI-ECG for Echocardiography Triage in Structural Heart Disease: Evidence, Implementation, and Future Directions (2026) · cites this paper as [65]
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- Authors
- Myhre, P. L., Tromp, J., Ouwerkerk, W., Ting, D. S. W., Docherty, K. F., Gibson, C. M., & Lam, C. S. P.
- Affiliations
- University of Oslo (NO)
- National University of Singapore (SG)
- National Heart Centre Singapore (SG)
- University of Glasgow (GB)
- Harvard University (US)
- Corresponding author
- Lam, Carolyn S P
- ORCID
- Venue
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Published
- 2024-10
- Volume
- 6
- Issue
- 10
- Pages
- e755-e766
- ISSN
- 2589-7500 (ISSN-L)
- OpenAlex
- W4401983229
- Cited by
- 31
- References
- 70
- Citations by year
- 2026: 13 · 2025: 16 · 2024: 2
- FWCI
- 2.46
- Type
- journal article
- Language
- en
- Update notices
- erratum (2024-10-01)
- Open access
- gold
- doi.org
- Licence
- Locations
- The Lancet Digital Health (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- heart failure, digital health tools, heart failure screening, early diagnosis, treatment initiation, treatment optimization, remote monitoring, low- and middle-income countries, digital health implementation, clinical framework
- MeSH terms
- Heart Failure, Humans, Telemedicine
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