Design and Architecture of Intelligent Medical Machines: A Research Paper
Abstract
Commonalities between the engineering rigor and the medical approach were explored to solve problems and present generic platforms to fuse the engineering rigor into the current medical approach to resolve the concerns of medical machine designers. The design methodology stresses the ability to fragment medical problems and their procedures into a series or a combination of minor or even microscopic problems (and their procedures) which are resolved by enforcing one or more actions by intelligent agents (or noun objects) to solve the localized problem. A certain amount of knowledge in the solution process is fed back to customize the specific solution for the specific patient. A series of minuscule of such knowledge modules are appropriately integrated to solve the entire medical problem for the patient. This minuscule’s of knowledge become programmable instruction for a medical machine with access to World Wide Web and knowledge bases that can verify and enhance the solution strategy for the fragmented problems.
The role of knowledge and its programmability become crucial to finding an optimal and efficient solution to solve routine, mid-sized or large medical problems of the patients during routine doctor’s visits. It is our contention that the suggested approaches in blending the industry wide practices in the design and manufacture of digital devices and systems can reduce the cost of providing medical services substantially. With reasonable care in selecting the intelligent agents (doctors, staff, instruments, laboratories, and/or medicines), their respective actions and functions in efficient and effective combinations at appropriate instants of time can be a significant step forward in cost reduction and (near) flawless administration of medical procedures.
The paper spans numerous disciplines ranging from mathematics, computer and knowledge science, the science of management including program evaluation and review technique (PERT) and optimization of strategies. The role of these disciplines is incisive and restricted the practice of medicine and the many roles that computer systems that are essential building blocks of medical machines.
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Introduction
A five step solution strategy listed below is introduced for solving complex engineering problems into the field of medicine. Three distinct solution steps are A, B and C that are iterated (at step E) till a satisfactory solution is found at step D.
Conclusion
In this article the design of medical machines and associated processors were outlined. It is still to be seen when the medical machine designers will optimize the medical processor unit (MPU) designs and the medical machine (MM) architectures. Most medical functions and the information and knowledge between a typical doctor and a patient during a doctors consultation and the subsequent analysis and treatments can be greatly facilitated by advanced their design and deployment. The goal is to train a medical community to perform the necessary interactive modules based on MI (medical intelligence) principles to seek the necessary and desirable step to act intelligently in network cloud (LAN, WAN and/or the Internet) environments. Typical AI systems have been successfully designed and deployed for most business transactions on the Internet. Such systems update local data/knowledge bases after each transaction and receive the necessary information from Internet data/knowledge bases.
A perfect doctor would work infallibly (without any errors) during all phases of the steps involved in patient information gathering, prognosis, diagnosis and treatment. The role of numerical computations will become vital given the nature of the uncertainties of the nature of patients’ ailments, conditions, dependability of the treatments and procedures. However, it is to be expected that the medical machine would perform better than most average doctors but not as well as a human expert doctor for the particular medical expertise. In the routine instances, the duel of life and death is thus played out by the super learner medical machines for a wide variety of patients in a wide variety of ailments. The cost savings is implicit and the patient service will improve.