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[Revolution of paradigm in clinical diagnosis--from the mechanization to the intelligent being].

The medical advancements, during the 20th century symbolize the industrialization of medical technologies, i.e., many clinical tests are carried out by the highly advanced automated machines. Also, the concept of intelligent processing of clinical diagnosis seems to have been established in the practice. However, it may be an illusion caused from the term artificial intelligence (AI) which attracts the attention of not only specialists of computer science but also clinicians. The essential nature of AI, especially of expert consultation systems is the same as the existing theories, such as Bayes' theorem, Boolean algebra, multivariate statistical analysis, and Fussy theorem, i.e., the evaluation of a weighted sum of multiple parameters. The weak point of these theories is the lack of time parameter. Therefore, the models using a time parameter including physiological simulation, dynamics model, Weibull model and Markov process are important to realize the revolution of clinical diagnosis from the standpoint of intelligent science and technology.

Artificial Intelligence↗

Evaluation of an automated tabletop blood biochemical analyzer for the veterinary clinical pathology laboratory.

The importance of accurate quantitative blood biochemical analysis for the diagnosis and management of disease is recognized by most veterinarians. In recent years, several biochemical analyzers have become available for the veterinary market. One of these analyzers was evaluated for its suitability in measuring several biochemical variables--alkaline phosphatase, urea nitrogen, creatinine, glucose, alanine transaminase (dog and cat only), and aspartate transaminase (horse only)--in dogs, cats, and horses. Instrument within-day precision ranged from 1.0 to 7.1%, and between-day precision ranged from 1.6 to 7.4%. During the 6-month period of the study, the analyzer required recalibration for only 1 analyte (creatinine). Concentrations of individual analytes were similar when blood (collected in anticoagulant), plasma, and serum were assayed in parallel. The accuracy of the analyzer, as measured by correlation to a reference method, ranged from 0.861 for creatinine in horses to greater than 0.950 for each of the other analytes in the 3 species. Mean values for each analyte were similar, except for alkaline phosphatase, which had consistently lower values by use of the analyzer method. A data base was established for reference values in each species.

Alanine Transaminase↗

Use of modified automated polybrene test for screening IgG sensitized RBC in routine laboratory.

An automatic method for the screening of RBC sensitized by IgG, using the polybrene reagent was utilized. We compared data drawn from the analysis of the automatic routine test in 4799 patients with the results obtained by the direct anti-IgG antiglobulin test. We give evidence for the highest sensitivity of the polybrene test with a good overlap of the results of two methods.

Autoanalysis↗

Microdilution and agar replica identification test systems.

A number of microdilution and agar-replicating systems are currently available for the rapid, accurate identification of common bacterial pathogens. These systems can be highly automated for large clinical laboratories or used manually for small laboratories.

Agar↗