Sycai Medical empowers healthcare professionals through AI

We automate the surveillance of pre-cancerous lesions in the abdomen through a disruptive radiology assistant

 

​Sycai Medical

Our product Sycai Medical is an assistant, which helps radiologists to detect pancreatic cystic lesions, predicting their malignant potential and presenting similar cases to verify the diagnosis.

This kind of lesions can evolve into pancreatic cancer, the 4th cause of death by cancer in Europe with an average survival time from diagnosis of less than 5 months and currently without an efficient method or early diagnosis.

 

The follow-up treatment of the pancreatic cysts leads to repetitive image tests for life, due to the difficulty of predicting which ones are going to be malignant and which are staying benign.The ability of predicting their evolution is the key to increase early detection of pancreatic cancer and to optimize the follow-up treatments.

 

State-of-the-art technology

Integrable
  • Integrated into the hospital PACS

  • Delivers results before the radiologists has even clicked

  • Checks every abdominal CT scan (most of the pancreatic cystic lesions are found accidentaly)

Secure
  • Follows all security protocols

  • Assure patient data protection

  • Patients data stay local and are not storage or managed by others 

Simple
  • Simple and intuitive interface that reduces adaptation period

  • Software mask can be easily hidden by doctors to avoid bias examinations

  • Brings together the knowledge gathered after thousands of exams with a click

Offline
  • Works localy on any PC

  • No need of internet connection (suitable for remote areas)

  • Avoids usage problems due to instable connections or multiple consults

 

What do people say about us

Creado un asistente tecnológico que podría llegar al 95% de fiabilidad en la detección de lesiones quísticas pancreáticas

16.03.2021

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Visión artificial para detectar el cáncer de páncreas

11.12.2020

Quién está detrás de Sycai, la startup española que quiere revolucionar la radiología

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27.09.2020

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Aknowledgements & events

Selected for the Ship2b accelerator program (phase1) and participants at the Impact Business Bootcamp