Nothing Special   »   [go: up one dir, main page]
Scribd Logo
Upload

Welcome to Scribd!

  • 35 views

    AI in Healthcare GROUP4

    Uploaded by

    Sugandha Gajanan Ghadi
    This document discusses the impact of artificial intelligence (AI) on the healthcare industry. It begins by defining AI and describing the healthcare industry before AI. It then discusses how AI is currently being implemented in healthcare for applications such as cancer diagnosis, treatment of rare diseases, automated image diagnosis, and robot-assisted surgery. The document also covers the pros and cons of using AI in healthcare. It concludes by predicting that within the next decade, AI will help healthcare systems predict disease risk, aid treatment and care using multiple data sources, and help reduce waiting times to improve efficiency.

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd

    AI in Healthcare GROUP4

    Uploaded by

    Sugandha Gajanan Ghadi
    35 views10 pages
    This document discusses the impact of artificial intelligence (AI) on the healthcare industry. It begins by defining AI and describing the healthcare industry before AI. It then discusses how AI is currently being implemented in healthcare for applications such as cancer diagnosis, treatment of rare diseases, automated image diagnosis, and robot-assisted surgery. The document also covers the pros and cons of using AI in healthcare. It concludes by predicting that within the next decade, AI will help healthcare systems predict disease risk, aid treatment and care using multiple data sources, and help reduce waiting times to improve efficiency.

    Original Description:

    Health care

    Copyright

    © © All Rights Reserved

    Available Formats

    PPTX, PDF, TXT or read online from Scribd

    Did you find this document useful?

    Is this content inappropriate?

    This document discusses the impact of artificial intelligence (AI) on the healthcare industry. It begins by defining AI and describing the healthcare industry before AI. It then discusses how AI is currently being implemented in healthcare for applications such as cancer diagnosis, treatment of rare diseases, automated image diagnosis, and robot-assisted surgery. The document also covers the pros and cons of using AI in healthcare. It concludes by predicting that within the next decade, AI will help healthcare systems predict disease risk, aid treatment and care using multiple data sources, and help reduce waiting times to improve efficiency.

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    35 views10 pages

    AI in Healthcare GROUP4

    Uploaded by

    Sugandha Gajanan Ghadi
    This document discusses the impact of artificial intelligence (AI) on the healthcare industry. It begins by defining AI and describing the healthcare industry before AI. It then discusses how AI is currently being implemented in healthcare for applications such as cancer diagnosis, treatment of rare diseases, automated image diagnosis, and robot-assisted surgery. The document also covers the pros and cons of using AI in healthcare. It concludes by predicting that within the next decade, AI will help healthcare systems predict disease risk, aid treatment and care using multiple data sources, and help reduce waiting times to improve efficiency.

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    of 10

    IMPACT OF ARTIFICIAL

    INTELLIGENCE ON
    HEALTHCARE INDUSTRY
    Group 4

    Amisha Thacker

    Harsh Kariya

    Vaibhav Mathur

    Nitu Kumari
    Agenda
    What is AI?

    Healthcare industry before AI

    Implementation of AI in healthcare industry

    Pros & Cons of AI in healthcare industry

    Future of AI in healthcare industry

    Tuesday, February 2, 20XX Sample Footer Text 2


    What is AI?

    Tuesday, February 2, 20XX Sample Footer Text 3


     It is the intelligence shown by machines that can be helpful to perform
    several tasks using sentiment analysis and Natural Language Processing

    Introduction 
    (NLP).

    It allows machines to learn on their own from past data and the given
    information, make sense of it, and use this information to do various
    business tasks.

     AI is a superset of Machine Learning and Deep Learning.


    Tuesday, February 2, 20XX Sample Footer Text 4
    Healthcare Industry before AI

     Doctors and medical experts depend on


    traditional studies and diagnosis methods.

     Lesser accuracy and survival chances due to


    limited range of treatment techniques.

     Challenging to determine presence of rare


    diseases due to traditional methods.

     Difficulty in predicting outcomes from clinical


    trials before introducing new medicines and
    vaccines.

     Possibility of overdose and underdose of


    medicines induced in the patients.

    Tuesday, February 2, 20XX Sample Footer Text 5


    IMPLEMENTATION
    OF AI IN
    HEALTHCARE
    INDUSTRY TODAY
    Tuesday, February 2, 20XX Sample Footer Text 6
    PathAI is an AI tool that reduces Using Deep Learning technologies
    errors and offers a range of new BERG is an AI-based clinical-stage and programs, AI provides quicker
    techniques for individual medical biotech platform that works on reading of complex images, like
    treatment. mapping rare diseases. CT scans and MRIs.

    Diagnosis of Treatment of rare Robot-assisted Automated image


    Cancer Diagnosis
    blood diseases diseases surgery diagnosis

    Through AI, the machines can The robot offers a magnified, 3-


    learn to identify the bacteria in the dimensional view of the surgical
    blood and predict their presence in site that is impossible to look at
    the new samples with an accuracy with our own eyes.
    of 95 percent.

    Tuesday, February 2, 20XX Sample Footer Text 7


    PROS AND CONS OF AI
    PROS CONS

    • Improved diagnosis • Complication in learning AI

    • Serves rural community better • A difficult change to adapt to

    • Better clinical decisions • Requires human assistance

    • Streamline several processes • Requires the implementation of the


    correct AI platform

    Tuesday, February 2, 20XX Sample Footer Text 8


     By 2030, AI will access multiple sources of data to reveal patterns in

    Future of AI in 
    disease and aid treatment and care.

    Healthcare systems will be able to predict an individual's risk of certain

    healthcare diseases and suggest preventative measures.

    industry
     AI will help reduce waiting times for patients and improve efficiency in
    hospitals and health systems.

    Tuesday, February 2, 20XX Sample Footer Text 9


    Thank You

    Tuesday, February 2, 20XX Sample Footer Text 10

    You might also like