Becton Dickinson and Co had 14 patents in artificial intelligence during Q1 2024.Becton Dickinson and Co has filed patents for a self-learning bladder volume monitoring system, methods for predicting and diagnosing sepsis, an ultrasound probe with an orientation system, and systems for automatically determining needle guides for vascular access using ultrasound imaging data and artificial intelligence. These innovations aim to improve accuracy and efficiency in medical diagnostics and procedures. GlobalData’s report on Becton Dickinson and Co gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Becton Dickinson and Co grant share with artificial intelligence as a theme is 21% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Self-learning and non-invasive bladder monitoring systems and methods (Patent ID: US20240081708A1)

The patent filed by Becton Dickinson and Co. describes a self-learning bladder volume monitoring system that utilizes electrical impedance measurements to determine the volume of fluid in a patient's bladder. The system includes a training unit that receives urine output values to modify the bladder volume model iteratively, improving its accuracy. Additionally, the system can measure total body water to adjust the model for variations in tissue surrounding the bladder, enhancing the precision of bladder volume measurements. Various sensors and systems, such as bio-impedance analysis, ultrasound, and intrabladder pressure systems, are integrated into the monitoring system to verify and train the bladder volume model effectively.

The system also includes features like accelerometers, gyroscopes, and electromyography sensors to detect patient movement, position, and bladder voiding events, further refining the accuracy of the bladder volume measurements. The patent outlines the use of a wireless communication system and stand-alone units for flexibility and convenience, with options for different types of devices such as base stations, portable computing devices, and wearable devices. Overall, the patent presents a comprehensive and innovative approach to bladder volume monitoring, combining various technologies and systems to create a self-learning and adaptable system for accurate and efficient measurement of bladder fluid volume in patients.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.