BreastScreening-AI

Leverage AI to accurately diagnose breast cancer. Eradicate the possibility of medical errors, substantially improving patient outcomes and streamlining healthcare efficiency.

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Introduction

Watch BreastScreening-AI

Meet our team and see how multimodal AI can support radiologists in breast cancer diagnosis.

Testimonials

See What Our Users Are Saying

Read what some of our satisfied users have to say about their experiences with us.

Cristina R. Fonseca

Senior Radiologist

"All types of tools are welcome in the fight against breast cancer. I believe that in conjunction with a vast database, artificial intelligence can be a valuable asset, and in cases where I have doubts, I will consult it as I consider it to be of great assistance."

João Alexandre

Junior Radiologist

"The assistant's explanations have improved my confidence in making diagnostic decisions. The tool helps me understand the reasoning behind each diagnosis and accelerates learning. It is particularly valuable for interns and junior radiologists."

Gisela Andrade

Middle Radiologist

"BreastScreening-AI is a problem solver and universal examination tool. It's invaluable for younger doctors, mitigating inexperience, pressure, and fatigue. Potential exhaustion after 100 exams increases error likelihood, making this AI's second opinion crucial."

Our Trusted Partnerships

We are proud to partner with leading companies from various industries.

UPMC
Siemens
Amazon AWS

Project Description

BreastScreening-AI


What is BreastScreening-AI?

BreastScreening-AI focuses on developing an advanced AI-powered system capable of analyzing mammograms, MRI scans, and ultrasound images for the early detection of breast cancer. The integration of multiple imaging modalities enables our AI tool, named multimodality CNNs (MMCNNs), to process information in a comprehensive and unified manner.


Why BreastScreening-AI?

Breast cancer is a significant global health concern, and early detection is crucial for effective treatment. Unfortunately, conventional screening methods sometimes result in False Negative and False-Positive results, leading to delayed diagnosis or unnecessary biopsies. BreastScreening-AI aims to address these challenges by providing accurate and reliable diagnostic assistance to radiologists, clinicians, and hospitals.


Our Vision

BreastScreening-AI envisions a future where early breast cancer detection is no longer an elusive goal. By leveraging cutting-edge AI technology and collaborating with medical experts, we strive to make breast cancer screening more accessible, accurate, and efficient for healthcare providers worldwide.

Join us on this transformative journey to save lives and make a lasting impact on breast cancer detection. Together, we can create a world where early diagnosis becomes a reality, leading to better patient outcomes and an improved quality of life for countless individuals.

Our Business Team

João Maria Abrantes

João Maria Abrantes

CMedO

Francisco Maria Calisto

Francisco Maria Calisto

CEO

Our Research Team

Carlos Santiago

Carlos Santiago

Lead AI

Jacinto Nascimento

Jacinto Nascimento

Computer Vision Advisor

Nuno Nunes

Nuno Nunes

User Research Advisor

Our Collaborations

HFF
IPO-Lisboa
CHTMAD
Amigas do Peito

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