What is AI Patholab?
AI-PathoLab is an AI-powered diagnostic platform developed by a collaborative team of WITSIDE, ISTOMEDICA, and Synergy Value to assist pathologists in detecting, classifying, and staging neoplasms for faster, more reliable cancer diagnostics.
Up until today, AI-PathoLab focuses on thyroid and prostate cancer, providing pathologists and medical professionals with an advanced tool to accelerate diagnosis and improve patient care. It’s funded by EYDE-ETAK, under the Research – Create – Innovate program.
How AI Patholab Works
AI-Powered analysis to empower doctors in 4 steps:
Image Recognition
AI scans and analyzes digital histopathology images.
Data Classification
Neoplastic findings are categorized quantitatively and qualitatively.
Automated Diagnosis
AI assists pathologists in diagnosing and staging cancer.
Faster & Safer Results
AI reduces diagnostic time, enabling early intervention and personalized treatment.
Key Benefits
The WIT-way to Project Success
✔ Faster, More Accurate Diagnoses
AI accelerates evaluation time, reducing diagnostic delays.
✔ Improved Patient Outcomes
Early detection and intervention help increase survival rates and enhance quality of life.
✔ Enhanced Pathologist Decision-Making
AI augments expertise, providing a powerful digital assistant.
✔ Scalability & Public Health Impact
AI-driven diagnostics can be scaled across hospitals and research centers, benefiting millions.
Focus Areas: Thyroid & Prostate Cancer
AI Patholab focuses on two of the most common and complex cancer types. By applying advanced AI models trained on thousands of histopathological images, our solution enhances accuracy and speed in diagnostic evaluations.
Thyroid Cancer
A fast-growing type of cancer requiring precise detection for optimal treatment.
Prostate Cancer
One of the leading cancers in men, where early-stage diagnosis is critical.
Collaboration & Partners
AI Patholab is a joint initiative of WITSIDE, Istomedica and Synery Value. This collaboration bridged AI and medicine to create high-impact solutions for modern healthcare challenges.
This research has been co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship, and Innovation, under the call RESEARCH – CREATE – INNOVATE (Project Code: T2EDK-01011).
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