Sycai Medical
Overview
Sycai Medical develops an AI-powered assistant designed to enhance the early detection and temporal follow-up of abdominal lesions, specifically targeting the pancreas, liver, and kidneys. The platform aims to standardize workflows, shorten diagnosis times, and provide a zero-clicks assistant for radiologists.
The core problem Sycai Medical addresses is the inefficiency in radiology, which often leads to late cancer diagnoses. With increasing imaging demands and radiologist burnout, diagnostic errors are a significant concern. Sycai’s solution leverages state-of-the-art AI to automate the detection and comparison of lesions across historical scans, acting as a digital screening tool.
Key features include seamless integration with hospital PACS and RIS, full DICOM compliance, and instant retrieval of patient history. The system is designed for security and compliance, holding ISO 13485 certification, MDR compliance, and adherence to GDPR and DICOM standards. Clinically validated with numerous scientific publications and trained on over 300,000 images, Sycai Medical is deployed in over 10 sites, demonstrating its commitment to evidence-based innovation.
By empowering radiologists with enhanced diagnostic accuracy and efficiency, Sycai Medical strives to improve patient outcomes and quality of life through safe technological innovation at the service of medicine. The company has already obtained CE Marking for its AI algorithm for liver cancer detection, further validating its technology.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated lesion detection
- Temporal follow-up and comparison of lesions
- Zero-clicks assistant workflow
- PACS/RIS integration
- DICOM compliant
- Clinically validated (30+ publications)
- ISO 13485 certified
- MDR compliant
- GDPR compliant
Use Cases
- Early detection of abdominal cancer
- Monitoring evolution of pre-cancerous lesions
- Standardizing radiology workflow
- Reducing diagnosis time for abdominal cancers
- Enhancing diagnostic accuracy for radiologists
Details
| Category | Clinical Decision Support & Reference, Oncology AI, Radiology & Imaging AI |
| Pricing | Unknown — unknown |
| Deployment | Integrable into the hospital PACS and RIS |
| Mobile App | None |
| API Available | No |
| Languages | English, Spanish, Catalan |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Cleared AI-estimated Sycai Medical Obtains CE Marking for Its Artificial Intelligence Algorithm for Liver Cancer Detection. |
| GDPR | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Gastroenterology, Oncology, Radiology, Urology |
Social Proof
| Customers | unknown |
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Presentaciu00f3n Sycai Medical
Sycai Technologies
Video presentaciu00f3n Sycai
Sycai Technologies
Presentaciu00f3n SYCAI Medical
Sycai Technologies
Sycai Medical: e-FAIR 2023 portfolio pitch
IntMeDA
Sycai Medical Demo - Classifying pancreatic cysts through AI
Sycai Technologies
AI4good #5 live pitching sessions: SYCAI Technologies
Sycai Technologies
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