Smartphone-based vitiligo lesion mapping and tracking across all skin tones that potentially rivals wood-lamp sensitivity. Debut at the World Vitiligo Day 2025.
Web-Based wound management tool for nurses that measures wound, tissue segmentation, treatment planning and healing assessments-currently in LTC, outpatient, and at-home pilot studies.
Skinopathy leverages equitable image-based assessment and AI for acne management. A multimodal AI pipeline combines standardized imaging, skin tone calibration, and IGA-based tracking for all skin types.
Boundary Attention Mapping (BAM) technology enables fine-grained Burn segmentation from mobile images. The Award-winning AI pipeline potentially rivals LDI accuracy for classifying burn severity and segmenting wounds, enabling Mobile-based, cost-effective triage, tracking and remote monitoring.
AI-enabled assessment of Atopic Dermatitis visual attributes across all skin tones. Demonstrates how machine learning enables accurate erythema and lesion grading even in skin types traditionally deemed “unable to assess.”
Skinopathy has developed an award-winning lesion classification and ABCD assessment systems. This system leverages BAM segmentation, and clinically-guided overlays, for effective segmentations. We highlight a use case to support SCC resection planning with image-based decision tools.
| Date | Conference / Journal | Title | Format |
|---|---|---|---|
|
Feb 2024 |
Journal of Burn Care & Research |
Comparing artificial intelligence guided image assessment to current methods of burn assessment |
Manuscript |
|
Mar 2024 |
American Burns Association – Chicago |
Comparing artificial intelligence guided image assessment to current methods of burn assessment |
Manuscript |
|
Sept 2024 |
MedArxiV |
Mitigating Hallucinations in Large Language Models: A Comparative Study of RAG-enhanced vs. Human-Generated Medical Templates |
Manuscript |
|
Sept 2024 |
MedArxiV |
Leveraging Machine Learning & Mobile Application Technology for Vitiligo Management: A Proof-of-Concept |
Manuscript |
|
Oct 2024 |
MedArxiV |
A Prototype Machine Learning Pipeline for Assessing and Tracking Keloid Scars |
Manuscript |
|
Oct 2024 |
9th Canadian Burn Conference |
Validating a novel artificial intelligence tool for objective measurement of clinical burn scar assessment |
Podium |
|
Oct 2024 |
9th Canadian Burn Conference |
Utilization of Artificial Intelligence Guided Image Assessment for Monitoring Biodegradable Temporizing Matrix (BTM) Vascularization |
Podium |
|
Nov 2024 |
2024 AIMed Global Summit |
Identifying and Tracking Suspicious Skin Moles |
Poster |
|
Nov 2024 |
2024 AIMed Global Summit |
Determining Atopic Dermatitis Visual Attributes in Type I-Type VI Skin Tones |
Poster |
|
Nov 2024 |
9th Annual Symposium on Hidradenitis Suppurativa Advances |
A Proof of Concept for ML-Based Identification and Staging of Hidradenitis Suppurativa (HS) |
Poster |
| Date | Conference / Journal | Title | Format |
|---|---|---|---|
|
May 2023 |
Canadian Special Interest Group – American Burns Association – Dallas |
An Image and Metadata-based analysis for understanding clinical, LDI and Machine Learning assessments of severe burn patients in Alberta |
Poster |
|
May 2023 |
Canadian Special Interest Group – American Burns Association – Dallas |
Development of an Artificial Intelligence (AI) Pipeline to characterize Burn Injuries on a Mobile-Device |
Poster & Demo |
|
May 2023 |
Canadian Special Interest Group – American Burns Association – Dallas |
Evaluation of hypertrophic burn scar using Artificial Intelligence: A Proof-of-Concept |
Poster |
|
May 2023 |
ArXiv |
Boundary Attention Mapping (BAM): Fine-grained saliency maps for segmentation of burn injuries |
Manuscript |
|
Jun 2023 |
Canadian Society of Plastic Surgeons – Halifax |
Development of an Artificial Intelligence (AI) Pipeline to characterize Burn Injuries on a Mobile-Device |
Podium |
|
Jun 2023 |
Canadian Society of Plastic Surgeons – Halifax |
An Image and Metadata-based analysis for understanding clinical, LDI and Machine Learning assessments of severe burn patients in Alberta |
Poster |
|
Jun 2023 |
Canadian Society of Plastic Surgeons – Halifax |
Can Artificial Intelligence on a Smartphone be used to Screen for Skin Cancer? |
Poster |
|
Jun 2023 |
Canadian Society of Plastic Surgeons – Halifax |
Exploring Machine Learning Solutions in Burn Scar Management |
Poster |
|
Jun 2023 |
Canadian Society of Plastic Surgeons – Halifax |
Development of a mobile artificial intelligence application to track real-time range of motion recovery in the hand |
Poster |
|
Jun 2023 |
Canadian Society of Plastic Surgeons – Halifax |
The impact of training modality on the quality of data collected by end-users of healthcare artificial intelligence applications |
Poster |
|
Jun 2023 |
AI-Med – San Diego |
Development of an Artificial Intelligence system to assess 2D spatial and depth of Severe Thermal Burns |
Podium |
|
Oct 2023 |
Temerty Centre for Artificial Intelligence Research and Education in Medicine – Toronto |
Digitizing the Acne Care Journey Through a Mobile Application |
Poster |
|
Oct 2023 |
American Society of Plastic Surgeons – Austin |
Development of an Artificial Intelligence (AI) Pipeline to characterize Burn Injuries on a Mobile-Device |
Podium |
|
Oct 2023 |
American Society of Plastic Surgeons – Austin |
An Image and Metadata-based analysis for understanding clinical, LDI and Machine Learning assessments of severe burn patients in Alberta |
Poster |
|
Oct 2023 |
American Society of Plastic Surgeons – Austin |
Evaluation of hypertrophic burn scar using Artificial Intelligence: A Proof-of-Concept |
Poster |
|
Oct 2023 |
American Society of Plastic Surgeons – Austin |
The impact of training modality on the quality of data collected by end-users of healthcare artificial intelligence applications |
Poster |
|
Nov 2023 |
American Burns Association – Chicago |
An Image and Metadata-based analysis for understanding clinical, LDI and Machine Learning assessments of severe burn patients in Alberta |
Podium |
|
Nov 2023 |
American Burns Association – Chicago |
Development of an Artificial Intelligence (AI) Pipeline to characterize Burn Injuries on a Mobile-Device |
Poster |
|
Dec 2023 |
MedArxiV |
A Convolutional Neural Network for classifying malignant and benign skin lesions using mobile-device images |
Manuscript |
|
Dec 2023 |
Journal of Burn Care & Research |
Using Computer Vision and Artificial Intelligence to Track the Healing of Severe Burns |
Manuscript |
| Date | Conference / Journal | Title | Format |
|---|---|---|---|
|
Apr 2022 |
American Burns Association – Las Vegas |
Using Computer Vision-Based Algorithms Trained on Mobile-Device Camera Images for Monitoring Burn Wound Healing |
Podium / Abstract / Manuscript (JBCR) |
|
May 2022 |
AI-Med – San Francisco |
Using Neural Networks for Squamous Cell Carcinoma Classification and Mapping Boundaries: A Tool for Image-Guided Surgery |
Podium / Abstract Competition |
|
May 2022 |
AI-Med – San Francisco |
Tracking Keloid Scars using Machine Learning Algorithms |
Podium / Abstract Competition |
|
Jun 2022 |
Canadian Society of Plastic Surgeons – Quebec city |
Using Neural Networks for Squamous Cell Carcinoma Classification and Mapping Boundaries: A Tool for Image-Guided Surgery |
Poster |
|
Oct 2022 |
Canadian Burns Association – Halifax |
Development of an Integrated Burns Application |
Podium |
|
Oct 2022 |
Canadian Burns Association – Halifax |
Development of a Mobile Burns Application for the General Public |
Poster |
|
Oct 2022 |
Canadian Burns Association – Halifax |
An Image and Metadata-based analysis for understanding clinical, LDI and Machine Learning assessments of severe burn patients in Alberta |
Poster |
|
Oct 2022 |
Canadian Burns Association – Halifax |
Development of an Artificial Intelligence (AI) Pipeline to characterize Burn Injuries on a Mobile-Device |
Podium |
|
Oct 2022 |
Canadian Burns Association – Halifax |
Exploring Machine Learning Solutions in Burn Scar Management |
Poster |
|
Nov 2022 |
Canadian Open Data Society – Whitehorse |
How Open Data is helping catch Skin Cancers |
Poster (virtual) |
|
Dec 2022 |
International Council of Motorsport Sciences WorldMotorSports – Indianapolis |
Painpoints in Burn Management and How technology can Help:From Regional Centres to Continuity-of-care |
Podium (virtual) |
|
Dec 2022 |
MedRXiV pre-print server for medical topics |
Using Computer Vision and Artificial Intelligence to Track the Healing of Severe Burns |
Manuscript |
| Date | Conference / Journal | Title | Format |
|---|---|---|---|
|
Dec 2021 |
Canadian Burns Association – Montreal |
Optimizing Neural Network-Based classification of Burn Severities by mitigating Biases using Customized Training Functions |
Podium |
|
Dec 2021 |
Canadian Burns Association – Montreal |
Using Image-based Machine Learning Algorithms to monitor Burn wound healing in Clinic and community |
Poster |
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