Siloam Vision


Medical device and software company developing ultra-widefield retinal imaging hardware, optical coherence tomography (OCT) systems, telemedicine software for Retinopathy of Prematurity (ROP) management, and AI diagnostic algorithms. Activities include hardware prototyping, clinical validation studies, regulatory submissions, and collaborations with academic and nonprofit partners to enable broader access to retinal screening.

Industries

Health Care
Software
Medical Device
Medical
Artificial Intelligence (AI)
Image Recognition
Hospitals and Health Care

Nr. of Employees

small (1-50)

Siloam Vision

Lake Oswego, Oregon, United States


Products

Portable ultra-widefield SLO retinal camera

Handheld or compact scanning laser ophthalmoscope designed to capture ultra-widefield retinal images across all ages with both contact and non-contact modes and reduced light intensity requirements.

Ultra-widefield Optical Coherence Tomography (OCT) system

High-speed swept-source OCT system engineered for high-resolution cross-sectional retinal imaging and OCT-angiography with specifications for frame and volume acquisition, axial/transverse resolution, and imaging depth.


Services

Cloud-enabled software for scheduling guided by clinical guidelines, automated reminders, secure patient data management, remote image review, and configurable alerts to support ROP programs.

Deep-learning based algorithms to detect and quantify severity of ROP from retinal images, supporting point-of-care decision support and consistent evaluations across readers.

Expertise Areas

  • Retinopathy of Prematurity (ROP) screening and management
  • Medical imaging hardware development (OCT, SLO)
  • AI-driven image analysis and diagnostic scoring
  • Telemedicine platform development for ophthalmology
  • Show More (3)

Key Technologies

  • Optical Coherence Tomography (OCT)
  • OCT-Angiography
  • Scanning Laser Ophthalmoscopy (SLO)
  • Swept-source lasers (1060 nm)
  • Show More (6)

News & Updates

Press release describing a prospective, masked multi-reader multi-case study demonstrating statistically significant improvements in diagnostic accuracy and inter-reader agreement for AI-assisted ROP diagnosis.

Announcement of an SBIR Phase II contract to advance AI-enabled retinal imaging.

Report of NIH grant funding to support development of portable pediatric retinal imaging.

Press coverage describing collaboration with an international nonprofit to scale AI-based screening of premature infants.

Recognition by the FDA via Breakthrough Device designation for OCT technology aimed at preventing infant blindness (reported by third-party coverage).


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