MDCE Scans Moles From Volunteer Photos. Passes Quality Scoring. It Is Beta, Not Biopsy, Naturally.
Medical Care Technologies Inc. (OTCID: MDCE) reported first-pass results from volunteer image evaluation in its Melanoma Scan Beta, showing that real-world user photos can pass quality scoring, body-map registration, and change-over-time comparison. The platform catalogs visible skin images and maps the same area across sessions. It has no regulatory clearance and explicitly does not diagnose, treat, cure, or prevent any disease.
This illustrates the concept of longitudinal monitoring: the diagnostic value is not in any single image but in the delta between them. The mechanism is temporal registration, aligning the same anatomical region across time-stamped photos to detect change. This is how dermatologists actually catch melanoma early, not by staring at one mole but by watching it evolve. The AI is replicating that comparison at scale, which is useful. Thinking it replaces a biopsy is not useful.
Medical Care Technologies Inc. (OTCID: MDCE), a diversified company developing AI applications across health, wellness, nutrition, and enterprise imaging. Their Melanoma Scan Beta successfully passed volunteer photos through quality scoring, body-map registration, and change-over-time comparison.
- Pick one mole or skin spot you want to monitor. Take a well-lit, close-up photo with your phone and save it with today's date in the filename.
- Set a recurring monthly calendar reminder to photograph the same spot under similar lighting and distance. Save each photo with the date.
- After three months, open the first and most recent photos side by side on your phone. Look for changes in size, border irregularity, color, or symmetry. Any visible change warrants a visit to a dermatologist, not a second opinion from your camera roll.