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The Magellan-2200, Model-3 Anesthesia Machine is intended/indicated for spontaneous or manually assisted ventilation of patients during anesthesia. It may be used for the delivery of gases and anesthetic vapor. It is capable of monitor/alarm functions for oxygen concentration, breathing pressure and source oxygen pressure.

The Model-3 is a gas machine for anesthesia or analgesia. The device consists of the following components: an inlet gas manifold for oxygen and air; pressure gauges for oxygen and air; a low-pressure alarm for inlet oxygen surveillance; an oxygen analyzer and monitor; an oxygen flow selector for nasal cannula or oxygen mask for pre- and post-anesthesia use; an oxygen flush button; oxygen and air flowmeters; an agent-specific vaporizer; a common gas outlet; a carbon dioxide absorber with one way valves; and a reservoir bag/pressure gauge/pressure relief/scavenger outlet arm.

This document is a 510(k) summary for a medical device (anesthesia machine) and does not contain information related to acceptance criteria, device performance metrics, or study details as one would find for an AI/ML-driven device.

Therefore, I cannot provide the requested information. The provided text describes a modification to an existing anesthesia machine and seeks to demonstrate substantial equivalence to predicate devices, rather than presenting a performance study against specific acceptance criteria for an AI model.

The document discusses:

• Device Name: Magellan-2200, Model-3 Anesthesia Machine
• Intended Use: Spontaneous or manually assisted ventilation, delivery of gases and anesthetic vapor, monitor/alarm functions for oxygen concentration, breathing pressure, and source oxygen pressure.
• Technological Characteristics: Lists components like inlet gas manifold, pressure gauges, oxygen analyzer, flowmeters, vaporizer, CO2 absorber, etc.
• Substantial Equivalence: States the Model-3 has the same intended use and similar indications, principles of operation, and technological characteristics as predicate devices.

There is no mention of:

• Acceptance criteria for device performance (e.g., accuracy, sensitivity, specificity for diagnostic functions).
• Any study performed to demonstrate meeting such criteria.
• Sample sizes, data provenance, ground truth establishment, expert adjudication, or MRMC studies.
• Standalone algorithm performance.

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The Magellan-2200 Model-2 Anesthesia Machine is intended for spontaneous, manually assisted or automatic ventilation of patients during anesthesia. It may be used for the delivery of gases and anesthetic vapor. It is capable of monitor/alarm functions for oxygen concentration, breathing pressure and respiratory volumes.

The Magellan-2200 Model-2 Anesthesia Machine in indicated for use with spontaneous, manually assisted or automatic ventilation of patients during anesthesia. It may be used for the delivery of gases and anesthetic vapor. It is capable of monitor/alarm functions for oxygen concentration, breathing pressure and respiratory volumes.

The Magellan-2200 Model-2 consists of the following components:

Gas Manifold with Safety Connections
Low Pressure Oxygen Alarm
Oxygen and Air Pressure Gauges
Oxygen Auxiliary Flow Selector
Oxygen and Air Flowmeters

The provided text is for a 510(k) summary for the Oceanic Medical Products, Inc. Magellan-2200 Model-2 Anesthesia Machine. The performance data section describes the testing conducted for this device.

Here's an analysis of the acceptance criteria and study information:

Description of Acceptance Criteria and Study

The Magellan-2200 Model-2 Anesthesia Machine was tested to ensure it functioned as designed, particularly with its replacement ventilator and electrically-powered air compressor source. The primary approach to demonstrating its performance was by comparing it to its predicate device, the Magellan-2200 Model-1 Anesthesia Machine.

The core of the study relies on the premise of substantial equivalence. Rather than establishing new acceptance criteria and conducting a de novo study, the device was deemed acceptable if it performed the same protocols and achieved results as expected when compared to the established performance of the predicate device.

1. Table of Acceptance Criteria and Reported Device Performance

2. Sample Size Used for the Test Set and Data Provenance

The document does not specify a sample size for the test set in terms of number of devices or number of test scenarios. It mentions "All recommended mechanical and electrical testing was completed," suggesting comprehensive testing.

The data provenance is not explicitly stated. The tests were performed by "the manufacturers of the anesthesia machine and/or the ventilator," implying internal testing by Oceanic Medical Products, Inc. and/or their ventilator supplier. It can be inferred as retrospective in the sense of testing a finished product against established protocols.

3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications

Not Applicable. This type of study does not involve expert readers establishing ground truth in the typical sense of a diagnostic imaging or AI-driven decision support system. The "ground truth" here is the expected operational performance of an anesthesia machine, as defined by safety standards and the performance of the predicate device.

4. Adjudication Method for the Test Set

Not Applicable. As there are no human readers or interpretations being adjudicated, no adjudication method was used. The assessment appears to be based on objective measurements and comparison to predefined performance norms for the predicate device.

5. If a Multi Reader Multi Case (MRMC) Comparative Effectiveness Study was done

No, an MRMC comparative effectiveness study was not done. This type of study is not relevant for an anesthesia machine where the primary concern is the functional, electrical, and mechanical performance of the equipment itself, rather than human interpretation of data assisted by AI.

6. If a Standalone (i.e. algorithm only without human-in-the-loop performance) was done

Not Applicable. The device is an anesthesia machine, not an algorithm or AI system. The testing focused on the standalone performance of the physical device components.

7. The Type of Ground Truth Used

The "ground truth" for this device's performance is established by:

• Predicate Device Performance: The known and accepted performance characteristics of the Magellan-2200 Model-1 Anesthesia Machine.
• Design Specifications: The intended functioning and operational parameters of the Magellan-2200 Model-2, especially concerning the new ventilator and compressor.
• Industry Standards: Implied adherence to relevant mechanical and electrical testing protocols for such medical devices.

8. The Sample Size for the Training Set

Not Applicable. This is a hardware medical device; there is no "training set" in the context of machine learning or AI models.

9. How the Ground Truth for the Training Set was Established

Not Applicable. As there is no training set, there is no ground truth to establish for it in this context.

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