DIAGNOSTIC MICROBIOLOGY - MAN, MACHINE AND ARTIFICAL INTILLIGENCE by Dr.T.V.Rao MD

DIAGNOSTIC MICROBIOLOGY - MAN, MACHINE AND ARTIFICAL INTILLIGENCE by Dr.T.V.Rao MD We are getting switched to live more with machines and online resources, and rarely translate with what we have learnt in the past as postgraduates or junior leaners, Majority of Microbiology laboratories are still in poor state on forecasting, the matter of importance to clinicians in turn losing the creditability of Microbiology professionals as we look keenly our results on Antibiotic resistance pattern, many times confusing to understood by clinicians, as what they wish to know from us is a solution to their problem to treat a serious patient, People have to agree with me unless we translate matters in easier way to clinicians our knowledge in Microbiology goes in vain, Never forget artificial intelligence entering into every branch of science and technology and as it stands Medicine needs more Just read to Wikipedia says about Very early on, scientists and doctors alike were captivated by the potential that computer technology might have in medicine . With intelligent computers able to store and process vast amounts of knowledge, the hope was that they would become perfect doctors, assisting or surpassing clinicians with tasks like diagnosis. Medical AI is concerned primarily with the construction of AI programs that perform diagnosis and make therapy recommendations. Unlike medical applications based on other programming methods, such as purely statistical and probabilistic methods, medical AI programs are based on symbolic models of disease entities and their relationship to patient factors and clinical manifestations Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behaviour. Major AI researchers and textbooks define this field as "the study and design of intelligent agents", in which an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. John McCarthy, who coined the term in 1955, defines it as "the science and engineering of making intelligent machines.

INTERPRETING THE MATTERS WITH ARTIFICIAL INTILLIGENCE CURTAIL UNNECESSARY TESTS Today many clinicians send the specimens from every and many patients as default to Microbiology laboratories To reduce unnecessary lab testing by predicting when a proposed future lab test is likely to contribute information gain and thereby influence clinical management in patients as happens with VENTILATORE ASSOCIATED PNEUMONIAS Recent studies have demonstrated that frequent laboratory testing does not necessarily relate to better outcomes. Classification accuracy of necessary and unnecessary lab tests of greater than 80% was achieved with many lab tests. Sensitivity and specificity were satisfactory for all the outcomes. An average reduction of 50% of the lab tests was obtained. This is an improvement from previously reported similar studies with average performance The intelligence is growing in different directions with many resources in particular about rapidly reporting the bacterial resistance to Antibiotics Rapid antimicrobial susceptibility testing allows doctors to discriminate between infections caused by drug sensitive bacteria, which can be treated with safe and effective antibiotics developed in what scientists call the golden age of drug discovery such as penicillin, and those caused by drug resistant bacteria, which might require newer antibiotics, such as daptomycin or New generation of Antibiotics. This approach will decrease the emergence of resistance by reserving the newest drugs for those infections where they are most needed. Clinical decision support systems (CDSSs) form a significant part of the field of clinical knowledge management, supporting the clinical process, making better use of knowledge, and helping in diagnosis, investigation, treatment, and long-term care. CDSSs are the new-generation clinical support tools that “make it easy to do it right.” Despite promising results, these systems are not common practice, although experts agree that the necessary revolution in health care will depend on their implementation. Few diagnostic decision support systems are in routine clinical use, mainly because these systems typically require time-consuming manual data entry. However, some clinical decision support systems are linked to electronic medical and health records while others are embedded in laboratory information systems (LISs)) and in other laboratory system

PREDICITNG RESULTS WITH Vitek 2 Vitek 2 (bioMérieux) is an automated susceptibility testing system enabling rapid (4 to 7 h) determinations of MICs. Its improved performance over those of earlier rapid systems is due to the larger number of wells in each card, enhanced optics, and new algorithms based on kinetic analyses of growth data. The Advanced Expert System (AES) provides standardized interpretive reading of these MICs. Unlike previous expert systems, the AES is based upon an extensive knowledge base that comprises over 2,000 phenotypes and 20,000 MIC distributions obtained from published reports, human experts with their own databases on phenotypes, and in-house data at bioMérieux. For each of the recognized phenotypes, a range of MICs is determined and an MIC distribution is defined.

ROLE OF CLINICAL MICROBIOLOGISTS - Isolates for which any biological or therapeutic corrections have been suggested require human intervention to decide whether corrections should be accepted. The AES also deduces susceptibility to antibiotics not tested based upon the phenotype and susceptibility to antibiotics that have been tested. I wish that Diagnostic Microbiologists to be more assertive with their knowledge and peer reviewed facts on drug resistance patterns,

TODAY IT IS MACHINE, DOCUMENTATION, ANALYSIS AND INTERPRETATION WITH ARTIFICAL INTILLEGENCE AND MICROBIOLOGISTS ARE TO BE GOOD INTERPRETORS AND COORDINATORS OF THE EVETNS IN THE LABORATORY .

THINK TO FUTURE OR YOU ARE LOST IN IGNORANCE

The post graduates to learn more from the following article extensively discussed on critical matters

Ref Expert Systems in Clinical Microbiology Trevor Winstanley1,* and Patrice Courvalin2 CLINICAL MICROBIOLOGY REVIEWS

Dr.T.V.Rao MD