20240013518. TRAINING AND USING A LEARNING ALGORITHM USING A TRANSCRIPT OF AUDIO DATA FOR IDENTIFICATION OF A MEDICAL DEVICE VISIBLE IN IMAGE DATA simplified abstract (Brainlab AG)
TRAINING AND USING A LEARNING ALGORITHM USING A TRANSCRIPT OF AUDIO DATA FOR IDENTIFICATION OF A MEDICAL DEVICE VISIBLE IN IMAGE DATA
Organization Name
Inventor(s)
Christoffer Hamilton of Aschheim (DE)
Juliane Weinzierl of Munich (DE)
TRAINING AND USING A LEARNING ALGORITHM USING A TRANSCRIPT OF AUDIO DATA FOR IDENTIFICATION OF A MEDICAL DEVICE VISIBLE IN IMAGE DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240013518 titled 'TRAINING AND USING A LEARNING ALGORITHM USING A TRANSCRIPT OF AUDIO DATA FOR IDENTIFICATION OF A MEDICAL DEVICE VISIBLE IN IMAGE DATA
Simplified Explanation
The disclosed patent application describes computer-implemented methods for training a learning algorithm using pre-processed audio and image data. The data is transformed into a time-synchronized transcript, allowing the algorithm to identify medical devices, such as instruments on an instrument table, and provide corresponding information to the user. The patent application also includes predictions of the next instrument to be used and a counting mechanism for tracking the number of instruments used.
- The patent application focuses on training a learning algorithm using audio and image data.
- The data is pre-processed to generate a time-synchronized transcript of the audio and image information.
- The learning algorithm is trained to identify medical devices, specifically medical instruments on an instrument table.
- The algorithm outputs relevant information about the identified medical device to the user.
- The patent application includes additional features such as predicting the next instrument to be used and counting the number of instruments used.
Potential Applications:
- Medical device identification: The technology can be used to automatically identify and provide information about medical instruments in a healthcare setting.
- Surgical assistance: The learning algorithm can assist surgeons by identifying and providing information about the instruments being used during a procedure.
- Inventory management: The counting mechanism can be utilized for tracking the usage of medical instruments, aiding in inventory management and restocking.
Problems Solved:
- Manual identification: The technology eliminates the need for manual identification of medical devices, saving time and reducing human error.
- Instrument tracking: The counting mechanism solves the problem of accurately tracking the usage of medical instruments, ensuring proper inventory management.
Benefits:
- Efficiency: The automated identification of medical devices improves workflow efficiency in healthcare settings.
- Accuracy: The learning algorithm can accurately identify medical instruments, reducing the risk of errors during procedures.
- Inventory management: The counting mechanism helps in maintaining an accurate inventory of medical instruments, preventing shortages or excess stock.
Original Abstract Submitted
disclosed are computer-implemented methods of training a learning algorithm on the basis of audio and image data which has been pre-processed to generate a time-synchronized transcript of the audio information and the image information to allow the learning algorithm to identify a medical device such as a medical instrument or a medical instrument on an instrument table which is visible in the image data and output corresponding information to a user. embodiments include additional prediction of a next instrument to be used and a counting of instruments which have been used.
