The Greater Influence of AI, ML and NLP on Healthcare and Medicine

Pruthvi RP

doi:10.21767/2471-9803.1000141

The Greater Influence of AI, ML and NLP on Healthcare and Medicine

Pruthvi RP

Published Date: 2017-02-23
DOI10.21767/2471-9803.1000141

Pruthvi 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

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

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

Visit for more related articles at Critical Care Obstetrics and Gynecology

Abstract

AI, Ml, NLP are not threatening to HI but will assist the Humanity and boosts the HI using Bio-chip and AI Integration.

Keywords

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

Introduction

Artificial 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 blood cell count (WBC), Neutrophils (NEUT), Lymphocytes (LYMP), Monocytes (MONO), Eosinophils (EOSI), Basophils (BASO) different types of white blood cell in the blood. Usually called a ÃÂ¢Ãâ¬ÃËdifferentialÃÂ¢Ãâ¬Ãâ¢, in conjunction with the total white cell count, the levels give information about the immune system. The neutrophils and lymphocytes are the most important levels to measure. The other three types are less significant and are often measured together (MXD) Total Protein (PROT) AI, ML measures several different proteins, with albumin being the most abundant type in blood. Changes in total protein concentration are common and can be due to nutritional causes or general debility Red blood cell count (RBC) AI measures the number of red cells in the blood.

Usage of DRI and Chip Level Integration

The Research based on bio-Statistics could estimate, forecast predict the upcoming diseases in the future Humanoids would be mainly used in Healthcare not to operate the Humans but assist them all along the usage stored data in the AI systems they could learn by themselves by integration with current infrastructure and Habitat at a Nano scale. AI would be core functional aspect in the diagnosis, treatment, and prevention of disease were it will cure disease in human being by using DRI Data Retrieval Intelligence and Chip level Integration. A humanoid will be considered as Physician by predicting (HB) Heart Beat count, Nerve pulse by integration and infusion of BIO-CHIP in the Human body, so that it could predict the disease, diagnose the disease.

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

Advantages

It is advantageous in in identifying the disease, forecasts the future diseases.

Conclusion

However, HI has been declined to store the data, where the thought process of HI could not retrieve the data because of low level-integration from one Nerve cell to another & ion bio-data transfer it needs resolved by BIO-CHIP level integration AI, ML NLP, PS/BQL with in the HI Human Intelligence.