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Med-link Reusable Temperature Probes:

Med-link Temperature Probes are intended to be used for monitoring temperature for multi-patient use. The temperature probes are reusable and designed for use with monitors of Philips Model IntelliVueMP50, Mindray Model PM-9000 and Drager Model Infinity Gamma XL.

These devices are used by qualified medical professional only.

Med-link Disposable Temperature Probes:

Med-link Disposable Temperature Probes are intended to be used for monitoring temperature for single patient use. The temperature probes are non-sterile and designed for use with monitors of GE Model B20 and Philips Model IntelliVueMP50.

These devices are used by qualified medical professional only.

The proposed devices are used for patient temperature measurement. The probes are reusable depending on models. These probes consist of a connector on the monitor end and a thermistor on the patient end. The working principle is resistance based on the metal conductor increases with temperature decrease, and the linear changes to the characteristics of the temperature measurement. The proposed devices are designed to be used in healthcare facilities like hospital.

The provided text describes the 510(k) summary for Med-link Reusable and Disposable Temperature Probes. While it outlines the device's characteristics and comparison to predicate devices, it does not contain information about acceptance criteria or a study that proves the device meets specific performance acceptance criteria in the context of AI/ML algorithm evaluation.

The document states:

• "No clinical studies were performed to demonstrate substantial equivalence." (Section 10)
• The non-clinical tests focused on safety, essential performance, and biocompatibility in accordance with relevant IEC and ISO standards for medical electrical equipment and biocompatibility. The performance standard cited is ISO 80601-2-56 for body temperature measurement.

Therefore, I cannot provide the requested information regarding acceptance criteria and studies for an AI/ML algorithm's performance, as this document is for a traditional medical device (temperature probes) and does not involve AI/ML.

However, I can extract the reported device performance and testing information that is present in the document for the temperature probes themselves, which is related to the accuracy of the temperature measurement.

Reported Device Performance (for the temperature probes, not an AI/ML algorithm):

Regarding the other requested information for AI/ML algorithms:

1. Sample size used for the test set and the data provenance: Not applicable, as this is not an AI/ML algorithm. Non-clinical tests were performed to assess safety and effectiveness against standards.
2. Number of experts used to establish the ground truth for the test set and the qualifications of those experts: Not applicable. Device calibration and accuracy testing typically refer to established laboratory methods and reference standards, rather than expert interpretation.
3. Adjudication method (e.g. 2+1, 3+1, none) for the test set: Not applicable.
4. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance: Not applicable.
5. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done: Not applicable. The device itself is standalone in its function as a temperature probe; there is no AI algorithm.
6. The type of ground truth used (expert consensus, pathology, outcomes data, etc.): For temperature accuracy, the ground truth would typically be established by calibrated reference thermometers in a controlled environment, adhering to the requirements of the relevant performance standards (e.g., ISO 80601-2-56).
7. The sample size for the training set: Not applicable.
8. How the ground truth for the training set was established: Not applicable.

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