The Greater Influence of AI, ML and NLP on Healthcare and MedicinePruthvi RP

Research in Recruitment, AI Systems Integration, PS/BQL & Humanoid Technology, Stanford University, USA

Corresponding author: Pruthvi RP, Doctor of Philosophy (PhD), Research in Recruitment, AI Systems Integration, PS/BQL & Humanoid Technology,Stanford University, USA, Tel: +1 650-723-2300; E-mail: pppruthvi@gmail.com

Received date: January 05, 2017; Accepted date: January 16, 2017; Published date: January 23, 2017

Copyright: © 2017 Pruthvi RP. This is an open-access article distributed under the terms of the Creative Commons Attribution License, whichpermits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation: Pruthvi R. The Greater Influence of AI, ML and NLP on Healthcare and Medicine. Crit Care Obst Gyne. 2017, 3:1.

AbstractAI, Ml, NLP are not threatening to HI but will assist theHumanity and boosts the HI using Bio-chip and AIIntegration.

Keywords: AI; ML; NLP; Data retrieval intelligence;Human intelligence

IntroductionArtificial Intelligence could boost up and enhance the quality

of workforce and work process in Medicine and healthcare.Thinking out of the box, Machine would perform White bloodcell count (WBC), Neutrophils (NEUT), Lymphocytes (LYMP),Monocytes (MONO), Eosinophils (EOSI), Basophils (BASO)different types of white blood cell in the blood. Usually called a‘differential’, in conjunction with the total white cell count, thelevels give information about the immune system. Theneutrophils and lymphocytes are the most important levels tomeasure. The other three types are less significant and are oftenmeasured together (MXD) Total Protein (PROT) AI, ML measuresseveral different proteins, with albumin being the mostabundant type in blood. Changes in total protein concentrationare common and can be due to nutritional causes or generaldebility Red blood cell count (RBC) AI measures the number ofred cells in the blood.

Usage of DRI and Chip Level IntegrationThe Research based on bio-Statistics could estimate, forecast

predict the upcoming diseases in the future Humanoids wouldbe mainly used in Healthcare not to operate the Humans butassist them all along the usage stored data in the AI systemsthey could learn by themselves by integration with currentinfrastructure and Habitat at a Nano scale. AI would be corefunctional aspect in the diagnosis, treatment, and prevention ofdisease were it will cure disease in human being by using DRIData Retrieval Intelligence and Chip level Integration. Ahumanoid will be considered as Physician by predicting (HB)Heart Beat count, Nerve pulse by integration and infusion ofBIO-CHIP in the Human body, so that it could predict thedisease, diagnose the disease.

AI, ML and BIO-CHIP will control illness, injury, and otherphysical and mental impairments in HI Human Intelligence.

AdvantagesIt is advantageous in in identifying the disease, forecasts the

future diseases.

ConclusionHowever, HI has been declined to store the data, where the

thought process of HI could not retrieve the data because of lowlevel-integration from one Nerve cell to another & ion bio-datatransfer it needs resolved by BIO-CHIP level integration AI, MLNLP, PS/BQL with in the HI Human Intelligence.

Short Communication

iMedPub Journalshttp://www.imedpub.com/

DOI: 10.21767/2471-9803.1000141

Critical Care Obstetrics and Gynecology

ISSN 2471-9803Vol.3 No.1:141

2017

© Under License of Creative Commons Attribution 3.0 License | This article is available from: http://obstetrics.imedpub.com/ 1