30/05/2026
Clinical AI reaches its full value when it moves beyond technical promise and becomes part of real clinical practice. At the Global Health and Purpose Summit, as part of People and Planet United, presented by FINN Partners in collaboration with HITLAB, The Galien Foundation, and 1BusinessWorld during NYC Health Innovation Week, Junmyung Kwon, Founder and CEO of Medical AI, joins host Ivan Ruiz, Partner at FINN Partners, for a leadership conversation on “What It Takes to Bring Clinical AI into Real Practice.” The session examines how AI can move from innovation to implementation by solving a real clinical problem, fitting naturally into hospital workflows, earning scientific and regulatory trust, and creating a sustainable path for adoption.
Kwon frames Medical AI’s work around a practical challenge in cardiovascular care. Echocardiograms remain the gold standard for identifying certain heart conditions, but they can be expensive, time-consuming, and dependent on specialist availability. Standard ECGs are fast, familiar, inexpensive, and widely available, yet they have traditionally been limited in what clinicians can detect from them. Medical AI’s approach uses raw 12-lead ECG data, rather than only the ECG image, to identify hidden signal patterns that the human eye cannot see. Through its ETIA product family, including ETIA LVST for left ventricular systolic dysfunction, the company aims to help clinicians detect risks such as heart failure, heart attack, and aortic stenosis from the ECG infrastructure hospitals already use.
The session presents a disciplined model for bringing clinical AI into practice. Kwon emphasizes that clinical validation, real-world adoption, workflow integration, reimbursement, regulation, and security all matter as much as algorithmic performance. He points to Medical AI’s peer-reviewed evidence, global validation work, regulatory approvals, hospital adoption, paid clinical use, and reimbursement pathways as indicators of clinical readiness. He also underscores that AI must fit the physician’s workflow, with the same ECG machine, the same patient experience, and no unnecessary burden on clinicians. The strongest vision of clinical AI presented in the session is not technology that calls attention to itself, but technology that quietly works in the background, helps hospitals turn signals into action, and supports clinicians in delivering earlier, more effective care.
https://1businessworld.com/2026/05/global-health-purpose-summit/what-it-takes-to-bring-clinical-ai-into-real-practice/