VisioClinical AI turns ordinary patient cameras into clinical assessment tools, helping providers capture objective physical-exam findings through images and videos from the clinic or the patient's home.
VisioClinical AI enables clinicians to capture physical-exam findings from anywhere using the cameras patients already own.
VisioClinical AI builds digital clinical assessment tools that make remote physical examination objective, standardized, and scalable. Our array of software tools captures what clinicians need to see: range of motion, wound appearance, motion abnormalities, functional recovery, and other observable physical-exam findings.
Our platform turns ordinary cameras into clinical assessment tools, allowing smartphones, laptops, and webcams to capture meaningful physical-exam data both in clinic and at home.
Healthcare has made major progress in virtual visits, remote monitoring, and ambient documentation. Yet one of the most important parts of clinical care remains difficult to perform remotely: the physical exam.
For many conditions, clinical decisions depend on what the provider can observe and measure. When this information cannot be captured remotely, patients may need to travel for visits that could otherwise be handled through telehealth or asynchronous monitoring.
VisioClinical AI addresses this gap by converting patient-submitted visual media into structured, clinically interpretable physical-exam data.
Can the patient raise their arm after surgery?
Is knee motion improving after therapy?
Is a tremor worsening? Is facial asymmetry present?
Is functional recovery progressing as expected?
This burden is especially significant for rural patients, post-operative patients, elderly patients, patients with transportation limitations, and clinics with limited staffing capacity.
VisioClinical AI helps clinicians capture objective physical-exam findings without specialized hardware.
Patients or clinical staff complete short, standardized capture tasks using a smartphone, tablet, laptop, or webcam. The platform analyzes the submitted image or video, extracts clinically relevant information, applies quality checks, and generates structured output for provider review.
The result is a practical clinical workflow that supports remote monitoring, telehealth, post-operative follow-up, rehabilitation, triage, and longitudinal care.
VisioClinical AI is not designed to replace clinicians. It is designed to give clinicians better data in settings where in-person examination is difficult, inefficient, or unnecessary.
Standardized image or video from any device
AI extraction with quality checks
Clinician-supervised structured output
Longitudinal tracking over time
We're building AI that captures what clinicians need to see—across movement, wounds, and neurologic assessment.
Automated Range of Motion Reporter for Medicine
Automated video-based range of motion and mobility assessment
ArmorMed uses short patient videos to automatically measure joint range of motion and mobility. Designed for orthopedic, rehabilitation, post-operative, neurologic, and musculoskeletal workflows, ArmorMed helps care teams track functional recovery in the clinic or remotely from home.
AI-supported wound and incision monitoring
Wound and incision monitoring for remote follow-up and triage
WoundGuard is being developed to help patients submit wound or surgical-incision images from home and convert those images into structured clinical information. The goal is to support remote wound surveillance, post-operative follow-up, triage, and longitudinal monitoring.
Video-based neurologic screening support
Screening support for tremor and visible neurologic findings
TremorTrack is being developed to help clinicians screen for visible neurologic findings using short, standardized patient videos. The platform is intended to support assessment of tremor, motion abnormalities, facial asymmetry, weakness-related movement changes, and other visual neurologic findings.