Unknown Organization (20240320874). SYSTEMS AND METHODS FOR EMULATING A CHEST X-RAY IMAGE FROM CHEST SOUNDS simplified abstract
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SYSTEMS AND METHODS FOR EMULATING A CHEST X-RAY IMAGE FROM CHEST SOUNDS
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SYSTEMS AND METHODS FOR EMULATING A CHEST X-RAY IMAGE FROM CHEST SOUNDS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320874 titled 'SYSTEMS AND METHODS FOR EMULATING A CHEST X-RAY IMAGE FROM CHEST SOUNDS
Simplified Explanation: The patent application describes systems and methods for translating sounds captured from a patient's thoracic cavity into an emulation of a chest x-ray using machine learning processes.
- The innovation involves using sensors, such as those in a vest worn by the patient, to capture thoracic sounds.
- These sounds are converted into an audio embedding using a spectrogram converter and neural networks for feature extraction.
- An image generator neural network trained on chest x-rays then processes the audio embedding to generate the emulation image.
Potential Applications: 1. Remote monitoring of patients' thoracic health. 2. Providing quick and non-invasive diagnostic imaging for chest conditions. 3. Enhancing telemedicine capabilities by enabling virtual chest x-ray assessments.
Problems Solved: 1. Overcoming the limitations of traditional chest x-ray procedures. 2. Improving accessibility to diagnostic imaging, especially in remote or underserved areas. 3. Enhancing the efficiency and accuracy of diagnosing thoracic conditions.
Benefits: 1. Faster and more convenient diagnostic imaging for patients. 2. Reduced exposure to radiation compared to traditional x-ray procedures. 3. Improved monitoring and management of thoracic health remotely.
Commercial Applications: The technology could be utilized in telemedicine platforms, healthcare facilities, and diagnostic imaging centers to enhance diagnostic capabilities and improve patient care.
Questions about the Technology: 1. How does the machine learning process accurately translate thoracic sounds into a chest x-ray emulation? 2. What are the potential limitations or challenges in implementing this technology in real-world healthcare settings?
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Original Abstract Submitted
systems and methods for translating sounds captured from a patient's thoracic cavity, either by a stethoscope or other suitably sensitive sensor, and through a machine learned process translating that sound data into an emulation of an x-ray, typically a chest x-ray. the sensor or sensors can be mounted in a vest worn by the patient, who can be remotely located. the thoracic sounds are converted to an audio embedding by a spectrogram converter coupled with one or more neural networks for feature extraction and the audio embedding is then processed in an image generator neural network trained on chest x-rays to generate the emulation image.
