Practical Development of Creative Life-Saving Artificial Intelligence

Abstract Background Merging modern technologies with classic diagnostic tests often results in a sense of insecurity within the medical community, particularly so with potentially life-saving studies such as the electrocardiogram (EKG). In order to provide a greater sense of trust between Artificial Intelligence (AI) and cardiologists, we provide an AI-driven algorithm capable of accurately and reliably characterize an EKG as normal within a highly complex, cardiologist-reviewed EKG database and report the degree of concordance between this machine vs physician scenario. Purpose To provide a dependable and accurate AI algorithm that conducts EKG interpretation in a cardiologist-tier manner. Methods The International Telemedical System (ITMS) developed and tested an EKG assessing AI algorithm and incorporated it into the workflow of their Telemedicine Integrated Platform, a digital EKG reading program where cardiologists continuously report their findings remotely in real-time. During the month of April 2,019; 35 ITMS cardiologists reported a grand total of 61,441 EKG records, later submitting them to the AI algorithm implemented through the “One Click Report” process. Through this simple 2-step approach, the algorithm provides a suggestion of “Normal” or “Abnormal” to the cardiologist based on the patterns of the fiducial points included in said EKG reports. Confirmation of these suggestions by the cardiologists ensued. Results Overall, cardiologists confirmed 23,213 out of 25,013 AI outputs for “Normal” EKGs, demonstrating a concordance of 92.8% for Normal diagnosis. Conclusion Through this methodology, we provide an AI technology that can be reliably applied and trusted in EKG digital platforms to identify and suitably label a normal EKG. Further testing will accrue into a multi label algorithm compatible with abnormal cardiovascular entities, potentially precluding the role of the cardiologist for triaging, particularly in the prehospital setting. We anticipate that this approach will become a promising methodology in modern cardiology practice. Funding Acknowledgement Type of funding source: None

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Turing, Alan Mathison (1912–54)

Routledge Encyclopedia of Philosophy ◽

10.4324/9780415249126-w045-1 ◽

2018 ◽

Author(s):

James H. Moor

Keyword(s):

Artificial Intelligence ◽

Turing Test ◽

Machine Intelligence ◽

Comparative Test ◽

Theory Of Computation ◽

Mathematical Functions ◽

Computing Device ◽

Alan Turing ◽

Theories Of Mind ◽

Practical Development

Alan Turing was a mathematical logician who made fundamental contributions to the theory of computation. He developed the concept of an abstract computing device (a ‘Turing machine’) which precisely characterizes the concept of computation, and provided the basis for the practical development of electronic digital computers beginning in the 1940s. He demonstrated both the scope and limitations of computation, proving that some mathematical functions are not computable in principle by such machines. Turing believed that human behaviour might be understood in terms of computation, and his views inspired contemporary computational theories of mind. He proposed a comparative test for machine intelligence, the ‘Turing test’, in which a human interrogator tries to distinguish a computer from a human by interacting with them only over a teletypewriter. Although the validity of the Turing test is controversial, the test and modifications of it remain influential measures for evaluating artificial intelligence.

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Robust Drown Alerting, Preventing and Autonomous Rescue System

The Scientific Bulletin of Electrical Engineering Faculty ◽

10.2478/sbeef-2021-0005 ◽

2021 ◽

Vol 21 (1) ◽

pp. 22-25

Author(s):

Pillalamarri Laxman ◽

Anuj Jain

Keyword(s):

Artificial Intelligence ◽

Life Saving ◽

Rescue System ◽

Novel Method

Abstract This paper introduces a novel method of automatic life-saving mechanism to save a drowning victim in a helpless condition. The realization of this method may be done by an Arduino Board or an embedded microcontroller. This method utilizes artificial intelligence to save drowning victims from fatal death and rings a loudspeaker.

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Indian Pharma—Some Challenges and Acceptances

Management Insight - The Journal of Incisive Analysers ◽

10.21844/mijia.16.1.7 ◽

2020 ◽

Vol 16 (01) ◽

pp. 38-40

Author(s):

Sajna T.

Keyword(s):

Artificial Intelligence ◽

Research And Development ◽

Pharmaceutical Companies ◽

Common People ◽

Life Saving ◽

Business Enterprises ◽

The Impact ◽

Modern Technologies

Business enterprises are an important organ of society. The impact of a business enterprise’s motive will directly affect society, which includes environment, consumers, employees, suppliers, and other stakeholders. Big pharma companies face a huge drop in revenue from blockbuster drugs coming off patent. Without generating revenues through sales, these companies will struggle to fund the development of new life-saving drugs. Artificial intelligence (AI) can be a powerful tool in the pharmaceutical industry’s research and development. So with the help of modern technologies, pharmaceutical companies should aim for quality but cheap products for common people and serve society better.

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