Total Quality Management as Predictor of Artificial Intelligence Ensures Competitive Marketing

Abstract

In the modern world Total Quality Management (TQM) respecting the past ensures the triumph of the future and Artificial Intelligence. Fulfilling the absence in the universal medical journal of multi-organ supportive therapy (MOST) replacement models of the central nervous system, immune and energy system functions, have been completed by describing extracorporeal and intracorporeal prosthetics of immune and energy system functions. Prosthetics, assistive support, and replacement of nervous system function contributed to the foundation of Artificial Intelligence (AI) and the creation of the robot as an intellect-technocrat combination. Using the Da Vinci robot with four arms, surgeons in Spain performed a lung transplant [3], relevant and timely also in the complications of COVID-19 SARS-CoV-2. As a result, the robot reduced the discrepancy between the predominance of the human and technocratic intellectual factors in the creation of the product useful to humanity. At the foundation of AI is TQM recognized by the scientific community of the modern world and in the context of alternative medicine models as a promoter of science. Thanks to the US development over 40 years of transgenic pig organ transplantation, as a model conceived in Moldova (1984), as an alternative to human donor organs. The prized TQM medicine is successfully assimilated by competitive marketing, in which AI is already included, with an essential social financial role. IA was supported by Antonio Guterres, Secretary General of the United Nations, Ursula von der Leyen, President of the European Commission. Thus AI has been considered at the level of the United Nations, the European Union, Japan, China and others. The head of the European Commission, Ursula von der Leyen from Great Britain at the First AI Safety Summit in the world, named 4 conditions for ensuring safety in the use of AI. 1) A thriving and independent scientific community equipped to evaluate AI systems, with funding and access to the best supercomputers; 2) Development of internationally recognized procedure and standards for AI safety testing. 3) A standard procedure whereby every significant incident caused by errors or misuse of AI is reported and accounted for. 4) Establishment of a reliable international notification system.