Our aspiration is to build the best AI in clinical medicine
AI_Qualiscopy was founded by experts and scholars from the leading institutions including the University of California, Berkeley, University of California, Los Angeles, New York University, Arizona College of Medicine, and National Taiwan University College of Medicine.
- AI_Qualiscopy provides medical image analysis and decision support through cutting-edge machine learning and validation from massive, expert annotated, real-world training data..s and end-to-end solutions to help doctors make clinical decisions in a more accurate, accessible, and efficient way.
- AI_Qualiscopy provides artificial intelligence and cloud-computing technologies to interpret medical images and clinical data and provides doctors comprehensive diagnostic assistance.
- We transform a large amounts of multi-source data into outcome-driven, evidence-based clinical insights that assist doctors to make informed clinical decisions efficiently.
- Our rapidly growing team consists of research scientists and software engineers from leading institutions. We are currently recruiting talents and we offer a competitive salary for both full-time and internship positions.
Breast Cancer
We use AI to make pathologists more accurate in their diagnoses and to help guide the right treatment. and help pathologists better predict how patients will respond to their therapy based on the characteristics of their tissue.
Lung Cancer
It offers deep-learning-based lung nodule detection, malignancy risk assessment, and quantitative feature extraction algorithms.
Colorectal cancer
With our Cecal Intubation Rate (CIR) Audit System can improve the adenoma detection rate and reduce the Colorectal cancer
Prototype & pilot project
prototype
Deep Learning Platform for Colorectal Cancer Prevention
pilot project
AI-Assisted Chronic Disease Management & Chronic Disease Risk Management
pilot project
Deep Learning in Diagnostic Pathology.
Detecting Cancer Metastases on Pathology Images
pilot project
AI for cold snare polypectomy
Management Team
