MetaOptima Team Awarded The ISIC 2018 Challenge Disease Classification Prize
MetaOptima R&D Team won the ISIC 2018 Challenge for Skin Cancer Classification. This highly-esteemed prize is the reflection of a dedicated effort to bring best practice experience to patients while facilitating everyday workflows to medical professionals in order to save lives.
How do “skin cancer” web searches relate to skin cancer early detection?
Access to information does not always lead to better informed decisions. Skin cancer research requires the right educational sources to empower patients for skin cancer early detection and higher survival rates.
MetaOptima’s Peer-Reviewed Publications On Skin Lesion Classification Using AI
As part of MetaOptima’s initiative to develop and implement intelligent dermatology software and tools designed to support medical professionals in their daily practice, the company’s Research & Development team has published the following research papers.
DermEngine’s compliance to the General Data Protection Regulation (GDPR)
The implementation of the new General Data Protection Regulation (GDPR) in the European Union requires the most stringent adherence to personal data privacy. DermEngine guarantees data protection through its advanced features to provide the utmost integrity and confidentiality for data handling.
We Did It! MetaOptima Announced As A Ready To Rocket Winner
Every year, Ready To Rocket announces an exclusive list of BC tech companies set to make a measurable impact within the community. Today, MetaOptima was announced as a Ready To Rocket company in the Digital Health sector for its development of DermEngine, our intelligent dermatology software!
Integration: Making Your EMR Work For You
EMR software is the core of a dermatologist’s practice; it documents patient visits, stores data, and centralizes information for future reference. Why is it so hard to find a system that keeps up with current needs, and how is integration proving to be a solution to this very real problem?
Powering AI To Create A Patient-Centric Ecosystem
Artificial intelligence has been commonly used in the business world for its basic automation. Applied to pathology and dermatology, AI’s power can analyze patient images as a clinical decision support tool while connecting medical workers to create an optimized patient healthcare ecosystem.