PeekMed web

PeekMed web is a medical image management and processing system designed to facilitate pre-operative surgical planning for healthcare professionals. It leverages patient imaging, digital material databases, and advanced machine learning models for 2D/3D image processing, measurement, and bone segmentation, validated to ensure safety and effectiveness.

Peek Health, S.A. has developed a system known as PeekMed web, designed to assist healthcare professionals with pre-operative planning for a variety of surgical procedures. This system leverages imported patient imaging studies and incorporates a database of digital representations of surgical materials provided by manufacturers. Its core functionalities include processing medical images in 2D or 3D environments, performing relevant measurements, applying templates, and offering a comprehensive overview of the surgical planning. The system has been reviewed and determined to be substantially equivalent to similar systems already available.The PeekMed web system is classified as a medical image management and processing system. Its continued marketing requires adherence to general controls, including requirements for annual registration, device listing, good manufacturing practices, and accurate labeling. Additionally, the system must comply with specific controls such as the Quality System regulation and the Unique Device Identification System rule. Nonclinical performance testing, encompassing the development and validation of updated machine learning models for features like bone segmentation and landmarking, supported its equivalence and affirmed that these technological enhancements do not compromise safety or effectiveness.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

• Q1. What specific types of surgical procedures does PeekMed web support, and how does its planning capability vary across these?; How does the integration of machine learning models for bone segmentation and landmarking improve the accuracy and efficiency of pre-operative planning compared to manual methods?; What are the validated accuracy metrics for the 2D/3D measurements and template application within the PeekMed web system?; Beyond nonclinical performance testing, have there been any clinical studies or post-market surveillance on the impact of PeekMed web on surgical outcomes or complication rates?; How does PeekMed web ensure interoperability with various PACS systems or other hospital IT infrastructure for seamless image import and data exchange?