From the April 2022 issue of HealthCare Business News magazine
Certain AI-based solutions are designed to support echo lab users, running “behind the scenes.” Requiring no manual action of the echocardiographers or sonographers, AI can provide automatic view selection and measurements as part of their existing clinical workflow. A strong financial tool, AI allows clinicians to provide for a greater number of patients, enabling reports and reimbursements for additional qualified strain exams.
Where do we go from here?
Cardiac ultrasound analysis beyond 2022
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AI-based solutions do not claim to replace medical experts but rather empower them with more objective, fast, and accurate results. AI-based systems incorporate a deep neural network to perform both automated view recognition and analysis of ultrasound scans. They learn from hundreds of thousands of images and are annotated by experts to produce accurate results and standardized objective measurements.
With the growing scale of medical services offered at emergency and other point-of-care environments, ultrasound users of various experience levels or training backgrounds are required to acquire images and make medical decisions based on limited information provided. Moving forward, AI-based software solutions reduce the subjectivity associated with visual or manual analysis, standardizing results and allowing for immediate analysis of scans near the patients’ bedside. AI-based solutions are only scratching the surface, expected to prevail quickly in the coming years to new applications and areas of interest, filling medical needs across specialties.
About the author: Hila Goldman-Aslan is the founder and CEO of DiA Imaging Analysis.
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