Kelvin Health


Provider of a thermography-based diagnostic platform for vascular conditions that combines mobile thermal imaging, image segmentation, and machine learning. The company develops a cloud and on‑prem data collection and annotation platform (HIPAA/GDPR compliant), curates a clinical thermal imaging dataset, and runs research partnerships with hospital centres and industry partners to support clinical validation and commercialization.

Industries

artificial-intelligence
health-care
information-technology-dbca
machine-learning
medical
medical-device

Nr. of Employees

small (1-50)

Kelvin Health

Sofia, Grad Sofiya, Bulgaria, Europe


Products

Thermal imaging diagnostic platform

Integrated system consisting of a mobile thermal imaging capture application, image preprocessing (gamma segmentation), AI analysis for vascular anomaly detection, and a data management backend for annotation and clinical review.


Services

Design and operational support for clinical studies using thermography and AI, including hospital partnerships and principal‑investigator‑led research.

Secure platform for collecting, annotating and managing thermal images and associated clinical data, offered with cloud and on‑prem deployment options.

Expertise Areas

  • Vascular diagnostics and triage
  • Thermography and thermal imaging
  • AI/ML for medical image analysis
  • Clinical research partnerships and study support
  • Show More (3)

Key Technologies

  • Thermography (thermal imaging)
  • Mobile thermal camera capture
  • Image segmentation and preprocessing
  • Computer vision and deep learning
  • Show More (3)

News & Updates

Selected to pitch at the MedTech Innovator East Coast Pitch Event (part of MedTech Innovator pitch series).

Selected as a finalist in the EIT Health InnoStars Awards 2024.

Announced research collaboration with a cardiovascular centre to study peripheral arterial disease using mobile thermography and AI; named a principal investigator for the study.

Presented at the Health Innovation Pavilion at the American Heart Association conference to discuss thermography AI for cardiovascular care.

Published dataset metrics reporting 8,400+ thermal images from 1,100+ vascular patients to support AI model development.


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