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Cardiomyopathies / OMNIPHYS Multimodal Ultrasound Imaging System / Heart Failure · Observational Study
ClinicalTrials.gov · September 10, 2026
Early or partial results. Treat as a signal, not a conclusion.
This is a registry record for an active observational cohort study investigating whether multimodal ultrasound imaging combined with AI can detect physiologic state transitions earlier than conventional assessment. No results are posted; the study is in enrollment phase with a planned 50-year follow-up, and conclusions about efficacy or clinical value cannot be drawn at this time.
Observational. Heart Failure, Cardiomyopathies, Pulmonary Hypertension, Myocarditis; Acute or Subacute, Myocarditis Due to Drug, Myocarditis Viral, Pericardial Diseases, Valv…; age from 18 Years; accepts healthy volunteers. Intervention: OMNIPHYS Master Physiologic Cohort. Compared with: Not explicitly stated; assumed conventional single-time-point clinical assessment.. n = 25,000. 1 site: United States.
This is a registry record for an active observational cohort study investigating whether multimodal ultrasound imaging combined with AI can detect physiologic state transitions earlier than conventional assessment. No results are posted; the study is in enrollment phase with a planned 50-year follow-up, and conclusions about efficacy or clinical value cannot be drawn at this time.
This is a registry record only; no results, efficacy data, or safety data are reported.
Until results are available, this study cannot inform clinical practice. Once data are published, clinicians should assess whether AI-enabled detection of physiologic transitions improves outcomes compared to existing monitoring strategies, and whether the 50-year longitudinal model is reproducible across diverse healthcare settings.
This is a registry record for an ongoing observational study with no reported results; enrollment is active and follow-up extends to 50 years, making this an early-stage data collection effort without efficacy or safety data.
As stated by the source record.
Quoted from the source exactly as published.
Until results are available, this study cannot inform clinical practice. Once data are published, clinicians should assess whether AI-enabled detection of physiologic transitions improves outcomes compared to existing monitoring strategies, and whether the 50-year longitudinal model is reproducible across diverse healthcare settings.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
What is missing. This record has no key findings. That is a gap in the analysis, not a judgement about the study.
Registry record from ClinicalTrials.gov (NCT07814118). This is a study registration, not published results. Lead sponsor: Truway Health, Inc.. Recruitment status: ENROLLING_BY_INVITATION. Study type: OBSERVATIONAL. Enrollment: 25000 participants (ESTIMATED). Conditions: Heart Failure, Cardiomyopathies, Pulmonary Hypertension, Myocarditis; Acute or Subacute, Myocarditis Due to Drug, Myocarditis Viral, Pericardial Diseases, Valvular Heart Diseases, Hypertension, Sepsis, Acute Kidney Injury, Pulmonary Edema - Acute, Pulmonary Edema With Heart Failure, Pulmonary Edemas, Acute Respiratory Distress Syndrome, Pulmonary Embolism Acute, Pulmonary Embolism (Diagnosis), Pulmonary Embolism Acute Massive, Pulmonary Embolism Subacute Massive, Venous Thrombosis Pulmonary, Venous Thrombosis (Disorder), Venous Thrombosis, Deep, Peripheral Arterial Disease, Peripheral Arterial Disease (PAD), Aortic Diseases, Muskuloskeletal Diseases, Brain Aging, Brain Aneurysm, Brain Aging Related Conditions, Ultrasound, Ultrasound Exams, Ultrasound Guidance. Interventions: DEVICE: OMNIPHYS Multimodal Ultrasound Imaging System. Primary outcome measures: Physiologic Transition Detection Time (PTDT) , Continuous longitudinal assessment from baseline (Year 0) through Year 50; PTDT will be calculated separately for each predefined clinical reference event occurring during the 50-year follow-up period.. Brief summary: The OMNIPHYS study will investigate whether multimodal ultrasound and other routinely collected clinical and physiologic data can be combined with artificial intelligence to characterize changes in a person's physiologic state over time. The study will examine cardiac, vascular, pulmonary, and systemic physiologic measurements and develop longitudinal models that describe baseline physiology, physiologic perturbation, compensation, deterioration, treatment response, and recovery. The study is observational and will not assign experimental treatments. The goal is to determine whether changes in multimodal physiologic patterns can be identified and characterized earlier and more reliably than conventional single-time-point assessment.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.