View source for Unknown Organization (20240347191). MASK-BASED DIAGNOSTIC UTILIZING AI ALGORITHMS FOR IMPROVED PATIENT OUTCOMES simplified abstract

=MASK-BASED DIAGNOSTIC UTILIZING AI ALGORITHMS FOR IMPROVED PATIENT OUTCOMES=


==Organization Name==

[[:Category:Unknown Organization|Unknown Organization]]


[[Category:Unknown Organization]]

==Inventor(s)==

[[:Category:John J. Daniels of Madison CT (US)|John J. Daniels of Madison CT (US)]][[Category:John J. Daniels of Madison CT (US)]]

==MASK-BASED DIAGNOSTIC UTILIZING AI ALGORITHMS FOR IMPROVED PATIENT OUTCOMES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240347191 titled 'MASK-BASED DIAGNOSTIC UTILIZING AI ALGORITHMS FOR IMPROVED PATIENT OUTCOMES

'''Simplified Explanation''': 

The patent application describes a mask-based diagnostic system for remote patient monitoring that collects chemical biomarker data and non-chemical biometric data in a non-invasive manner. The system can monitor various medical conditions and transmit the collected data wirelessly to a remote server for analysis using AI algorithms.

* The system includes a mask with an exhaled breath condensate (EBC) collector for chemical biomarker testing.
* Non-chemical biometric data such as temperature, heart rate, and blood oxygen levels can be obtained using a wearable electronic device.
* The collected data is sent to a remote server for aggregation, analysis, and interpretation using AI algorithms.
* The AI algorithms detect patterns and trends in the patient data for various applications like drug discovery and personalized treatment options.
* The system aims to improve patient outcomes by providing real-time monitoring, early detection of health issues, and personalized treatment options.

'''Potential Applications''':
- Remote patient monitoring for various medical conditions
- Early detection of health issues
- Personalized treatment options based on patient data

'''Problems Solved''':
- Non-invasive data collection for remote patient monitoring
- Real-time monitoring and early detection of health issues
- Personalized treatment options based on AI analysis of patient data

'''Benefits''':
- Improved patient outcomes
- Enhanced remote monitoring capabilities
- Personalized and targeted treatment plans

'''Commercial Applications''':
Title: Mask-Based Diagnostic System for Remote Patient Monitoring
This technology can be used in healthcare facilities, telemedicine services, and remote patient monitoring companies to enhance patient care and treatment outcomes.

'''Prior Art''':
Readers can explore prior research on remote patient monitoring systems, wearable health devices, and AI algorithms in healthcare for related information.

'''Frequently Updated Research''':
Stay updated on advancements in wearable health technology, AI algorithms in healthcare, and remote patient monitoring systems for the latest developments in the field.

'''Questions about Mask-Based Diagnostic System for Remote Patient Monitoring''':
1. How does the mask-based diagnostic system collect chemical biomarker data?
2. What are the potential implications of using AI algorithms for analyzing patient data in remote monitoring systems?


==Original Abstract Submitted==

a mask-based diagnostic (mbd) system for remote patient monitoring that collects chemical biomarker data and non-chemical biometric data from patients in a non-invasive manner. the mbd can be used to monitor various medical conditions, including cardiovascular disease, lung cancer, diabetes, and respiratory diseases. the system consists of a mask having an exhaled breath condensate (ebc) collector that tests for chemical biomarkers in ebc. non-chemical biometric data, such as temperature, heart rate, and blood oxygen levels can also be obtained using a wearable electronic device. the collected data is transmitted wirelessly to a remote server for aggregation, analysis, and interpretation using artificial intelligence (ai) algorithms. the ai algorithms detect patterns and trends in the patient data, which can be used for drug discovery, to identify health issues, adjust treatment plans, etc. the mbd can improve patient outcomes by providing real-time monitoring, early detection of health issues, and personalized treatment options.



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