The term medical technology refers to the application of scientific knowledge and skills in the form of devices, medicine, vaccines, procedures, and systems made to solve a health problem and improve patients’ quality of life (Ten Haken et al., 2018). The technological developments observed in the 21st century have led to tremendous changes in healthcare (Thimbleby, 2013). What could be thought of as science fiction a couple of decades prior is, now, everyday medical practice. From the use of robots (Hockstein et al., 2007) to tailoring therapy to each patient’s needs (Mathur and Sutton, 2017), modern medicine could be considered an advanced technological profession (Mesko, 2018). This notion is further reinforced by the introduction of modern engineering, information technology, wireless communications and Software as a Medical Device in everyday medical practices.
Comparing AI systems is crucial to determine which system best suits a specific need by evaluating their strengths and weaknesses across various factors like accuracy, performance, adaptability, data requirements, cost and associated existential risk, allowing for informed decision-making when selecting the most suitable AI solution for a particular application or problem domain.
The software design and development process of CalenDarer AI systems utilize the most stringent process management, ensuring algorithms that are tested in the virtual environment before being implemented into the computer hardware technology. The Invisible Tone Meter, an AI Communications System, utilizes regulatory parameters to create Human Compatible AI Systems, enabling differentiation between systems made for robotics and systems made for humans.
These are steps that even the most sophisticated engineers avoid or do not have access to prior to designing, developing and deploying Software Code designed for AI. The process is rigid, extensive and thorough and places long term consideration to existential risk when designing AI systems where the end-user is a human.
The Invisible Tone Meter represents Image Artificial Intelligence designed and developed via particle deceleration from E=MC² to E÷C²=M to establish the nodes that establish the framework for the CalenDarer virtual computer environment.
The image on the LEFT is an Artificial Intelligence designed for Co-Parenting Communications called Tone Meter that can be downloaded in the App Store.
It regulates how you type/speak by alerting you to reconsider what you are about to type/send with an escalating Volume Tone Meter that prompts the user with alternative messages if it deems the language offensive. The pink tone meter escalates up and down making alternative recommendations WHILE you type.
*In human language, this is known as a communication violation or interruption.
The Tone Meter on the RIGHT is an Artificial Intelligence designed for Socioeconomic Activity within the US DOJ, pursuant to 17 U.S.C. Section 102(a) of Copyright Law. It is completely invisible, designed without hardware such as circuit boards, microprocessors, capacitors etc.
It regulates how you type/speak and alerts you to reconsider what you are about to type/send with an escalating Volume Tone Meter that prompts the user by highlighting messages if it deems the language offensive. The Black Tone Meter escalates up or down ranging from Low-Conflict, Urgent and Stern, making alternative recommendations AFTER typing the message.
The Invisible Tone Meter exemplifies CalenDarer's Ethical approach to designing AI Communications systems for human compatibility. The CalenDarer computer software code was utilized in US Copyright Registration # TXu 2-380-814, titled GHi, to illustrate a Medical Device algorithm designed from the regulatory framework of the computer software, in collaboration with Geisinger Health Systems, iRythym Heart Monitoring and Aetna Healthcare Insurance that successfully tests the efficacy of a Digital Therapeutic that cures anxiety by correcting an irregular heartbeat (arrhythmia) via the healthcare insurance claim denial process.
*The result of the clinical trial period eliminated anxiety, panic attacks and seizures were reduced from 2-3/week to 1 per 3 weeks.
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