SpotBot empowers dermatology teams to capture, communicate, and make confident decisions — faster and safer.
When a PA finds an uncertain lesion, the clinical question is visual, time-sensitive, and context-dependent. EMRs and generic messaging tools were never designed for fast, lesion-specific review.
Photos are hard to capture, share, annotate, and retrieve quickly — so the visual question gets lost in the chart.
Physician input is delayed or happens outside a structured, auditable trail — slowing care and adding risk.
Clinical judgments and useful images rarely become structured training data the practice can learn from.
SpotBot turns the PA supervision loop into a structured, image-first workflow — capture the lesion, annotate the concern, consult the physician, and compare over time.
Clinical & dermoscopic images with body-site and lesion metadata, captured in seconds.
Secure PA-to-physician visual messaging with annotation and a full response history.
Longitudinal lesion tracking with prior-image retrieval and side-by-side review.
The workflow is valuable before any diagnostic AI is added — it simply makes supervision faster, safer, and fully documented.
A PA flags an uncertain lesion during a normal visit.
Take a clinical photo plus dermoscopy in seconds.
Mark body site, the specific concern, and confidence level.
Send the annotated case to the supervising physician.
The physician replies with structured guidance.
The case is stored for longitudinal comparison later.
Prototype success metric: a PA can send a lesion question and receive a structured physician response in under 60 seconds of active workflow time.
A staged product family that supports the clinical workflow today and builds toward AI on a foundation of real, governed data.
Clinical & dermoscopic photo capture with body-site and lesion metadata.
Secure PA-to-physician visual messaging with annotation and response history.
Longitudinal lesion tracking with prior-image retrieval and side-by-side review.
HIPAA-minded access control, audit trail, encryption, and practice governance.
Build adoption and trust before introducing autonomous claims.
The workflow creates a physician-labeled, longitudinal lesion dataset as a byproduct of normal practice — no separate data-labeling operation required.
That validated, pathology-correlated dataset becomes the foundation for trustworthy AI-assisted dermatology — built on real outcomes, not scraped images.
Build the training bank. Expand into AI-assisted dermatology once the clinical foundation is real. See where SpotBot fits in your practice.
Request a DemoWhether you're a PA-heavy dermatology group or an investor exploring the space, we'd love to show you SpotBot.
