Caddie's Way

Our structured approach is revolutionizing medical image analysis which in turn is making it possible to detect even the smallest irregularities, leading to quicker and more accurate diagnoses.

Data discovery involves identifying patterns, trends, and insights within datasets. At Caddie it includes :

  • Data Profiling: Assessing the quality and structure of data.
  • Data Visualization: Using tools to create visual representations of data.
  • Exploratory Data Analysis (EDA): Analyzing data sets to summarize their main characteristics.
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Data curation involves the organization, integration, and management of data collected from various sources. It ensures that data remains valuable, accessible, and reusable over time. Data curation involves :

  • Collection and Integration: Gathering data from diverse sources and integrating it into a cohesive dataset.
  • Annotation and Documentation: Adding metadata and documentation to make the data understandable and usable.
  • Preservation: Ensuring long-term storage and accessibility of data.
  • Quality Control: Maintaining data accuracy and consistency.
  • Accessibility: Making data easily discoverable and retrievable.
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After Data discovery, curation and segmentation next step is the model development. Some aspects followed by Caddie are as follows :

  • Data Preprocessing: Techniques such as normalization, feature scaling, and encoding categorical variables are applied.
  • Feature Engineering: Feature engineering is the process of creating new features or transforming existing features to enhance the predictive power of the model.
  • Model Selection, Training, and Evaluation
  • Model Optimization and Validation
  • Deployment and Monitoring
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Caddie’s Data Exchange offers a seamless way to integrate open-access datasets into your research workflow. Our pre-curated datasets are ready for analysis, saving you time and resources.

Key aspects include:

  • Data Integration: Combining data from different sources into a unified view.
  • Data Interoperability: Ensuring different systems can use the shared data effectively.
  • Data Marketplaces: Platforms where data can be bought and sold
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GANs U-Net R-CNN+ SRCL LLMs NLP

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Caddie

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Caddie's solutions are for?

Al Companies

Al Companies

Several AI companies rely on accurate and expertly annotated medical data to develop robust algorithms. AI companies who want to accelerate research and gain regulatory compliance, Caddie’s medical image annotating product which is backed by MIDRC (Division of NIH) and CRO service powered by experts will help reach their goals faster.
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University Researchers

University Researchers

With rising expectations, clinical development faces the need for targeted and meaningful data. Caddie’s AI which can analyze diverse data sources is desired. Researchers often deal with vast amounts of unstructured medical data. Extracting relevant information from this is challenging. Caddie can help discover, curate, segment and modularize imaging data for research.
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Clinical Researchers

Clinical Researchers

Clinical researchers are venturing into uncharted territories using AI and data analytics to unlock new possibilities in healthcare. Caddie’s AI tools not only offer operational efficiency but also provide Scientific AI Powered by generative AI (gen AI) and foundational models can revolutionize trial design and success rates.

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Pioneering Medical AI Excellence

Visionary Minds Uniting to Transform Healthcare

Our esteemed collaborators include leading figures in medical AI and radiology, contributing to groundbreaking advancements in clinical image analysis.

Emeritus Professor, Univ. of Chicago, CAD Pioneer

Distinguished Service Professor, Univ. of Chicago

NIH Staff Scientist

Professor of Radiology, Harvard Medical School

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Accelerate your research and enhance diagnostic accuracy with Caddie's solutions.
Connect with our team to discuss your AI and medical imaging needs

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18310 Montgomery Village Ave
Ste 300 #1238
Gaithersburg, MD 20879
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