Build Point-of-Care Ultrasound AI Guidance Software

1. 1

   Target acquisition, not interpretation

   The distinctive idea is guiding the operator to capture a diagnostically adequate image in real time, rather than interpreting one, which is what lets non-specialists perform ultrasound (as with Caption Health's Caption Guidance for echocardiography or Butterfly Network's Gestational Age Tool). This expands who on a care team can image. Build around real-time coaching and quality feedback during the scan.

2. 2

   Build real-time guidance models

   The core is models that assess the live ultrasound view and guide the operator (probe position, angle, capture timing) to a standard, adequate image, plus automated measurements where relevant. Real-time performance on-device and robustness across body types are the technical challenges. The guidance must be reliable enough to trust in a novice's hands.

3. 3

   Integrate with ultrasound hardware

   The software runs with handheld or cart-based ultrasound devices, so integration (embedded or via partnership with device makers like Butterfly or GE) is central to reaching users. Decide whether you build a device, embed in others, or attach to existing hardware. The device channel shapes distribution and economics.

4. 4

   Clear the FDA and define the claim

   Guidance and measurement tools are regulated devices, typically clearing via 510(k), and your claim (guidance, quality assessment, automated measurement) defines the pathway and evidence. Validate that guided novices capture adequate images safely. Regulatory clarity on the intended user and use is essential.

5. 5

   Sell into point-of-care and expanded-access settings

   Buyers are primary care, emergency departments, rural and global health, OB, and other point-of-care settings that want imaging without a sonographer or radiologist present. The value is access: imaging where and by whom it could not be done before. Sell on expanded capability and workflow, per device or per site.

6. 6

   Understand the market-expansion thesis

   This category grows the imaging market rather than competing for radiology-department volume, by moving imaging closer to the patient and enabling new operators. That expansion thesis (who can image, and where) is the strategic story and distinguishes it from radiology-reading AI. Position on unlocking new settings and users.

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