A surgical AI that analyzes diverse data, normalizes it, and employs a pre-trained model to predict surgery suitability, with a confidence rating. This guides insurance reviews, primary care, and specialists, determining if an average patient would necessarily undergo the procedure.

  1. General Details

    In the evolving healthcare landscape, decision-making on medical interventions is complex and variable. This machine learning system addresses this by providing comprehensive, objective evaluations of intervention necessity, incorporating valuable data analytics insights. It integrates data from diverse health-related sources and employs advanced algorithms to offer jury-based predictive insights into the appropriateness of selected interventions.

    Primary surgeons benefit from a data-backed second opinion, while surgeons and specialists become more efficient with their time, seeing fewer unnecessary cases in consult.

    Key Components:

    • Data Integration
      The system gathers data from multiple health-related sources, including various file types, to ensure comprehensive coverage. This broad data collection enables a thorough analysis of each medical case.
    • Normalization Module
      A specialized module processes the collected data, ensuring consistency and comparability across different sources. This module standardizes the data, making it easier to compare and analyze.
    • Machine Learning Model
      Utilizing pre-trained algorithms, the system generates prediction outputs indicating the appropriateness of selected medical interventions. These outputs come with confidence levels to indicate the reliability of the assessments.

    Benefits of the System:

    • Data-Backed Second Opinion
      Primary surgeons receive a second opinion based on extensive data analysis, enhancing their decision-making process.
    • Increased Efficiency
      Surgeons and specialists can focus on necessary cases, reducing the time spent on unnecessary consults.
    • Improved Clinical Outcomes
      By integrating evidence-based analysis and patient-centric approaches, the system helps improve clinical outcomes.
    • Time and Cost Savings
      The system streamlines the evaluation process, leading to significant time and cost savings for healthcare providers.
    • Market Differentiation
      Healthcare settings that deploy this system gain a competitive edge, offering advanced, data-driven decision-making capabilities.
    • Valuable Data Analytics Insights
      The integration of advanced data analytics provides deep insights into medical practices and outcomes, supporting continuous improvement and innovation.

    By utilizing this machine learning system, healthcare providers can enhance their clinical decision-making process, leading to better patient care and more efficient use of resources. The system’s ability to offer reliable, data-driven evaluations makes it an invaluable tool in modern healthcare.

    If you are interested in Surgical AI, please visit this link.

  2. Patent Portfolio

    The IP and assets available for sale include:

    • US11205516 – “Machine Learning Systems and Methods for Assessing Medical Interventions for Utilization Review”
    • US20200075165 – “Machine Learning Systems and Methods for Assessing Medical Outcomes”
    • US20220115135 – “Machine Learning Systems and Methods for Assessing Medical Interventions for Utilization Review”
    • US20200075164 – “Machine Learning Systems and Methods For Assessing Medical Interventions for Utilization Review”
    • US20190378618 – “Machine Learning Systems For Surgery Prediction and Insurer Utilization Review”
    • WO2020050987 – “Machine Learning Systems and Methods for Assessing Medical Interventions for Utilization Review”
  3. Data Room Access & Additional Details

    Other Public Data Room Materials Available at VIP-3305 Public Data Room for Surgical AI:

    • Introductory Materials
    • Patents and Patent Applications
    • Patent File Histories
    • Unnecessary Surgery Legal Claims
    • Non-Disclosure Agreement Draft to access more files listed below

    Additional Materials (available upon signing a mutual non-disclosure agreement):

    • Due Diligence Review
    • Any Available Patent Assignment Documents
  4. More Information

    Pricing guidance for this transaction may be available. All parties interested in the IP above are authorized to contact Spencer Rogers at Vibrant IP, LLC at spencer@vibrantip.com and 415-997-9772.

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