preview

Disadvantages Of AI In Healthcare

Satisfactory Essays

The development of diagnostic tools, the issue of healthcare inequalities, the function of data collection, the growth of the market and acquisitions and investments have been major themes during the last 6 months in US and UK media around AI in healthcare.
Diagnostic capabilities has been the most widely praised use of AI in healthcare over the last 6 months.
Overview

I have found that themes such as development of diagnostic tools, the issue of healthcare inequalities, the function of data collection, the growth of the market and acquisitions and investments have been apparent during the last 6 months in US and UK media around AI in healthcare.

METHODOLOGY
In order to answer your question I searched through news articles only from the …show more content…

Forbes also discuss the diagnostic uses that AI is currently being developed for. They give the examples of "smartphone apps that can determine a concussion and monitor other concerns such as newborn jaundice, lung function of those suffering from chronic respiratory diseases, blood pressure, hemoglobin levels and even evaluate coughs, disease and health monitoring".

A number of successful startups have sprung up in the area of diagnosis. Ginger.io, Sensely, Ava and Buoy Health have all been identified by Mobi Health News as startups who have successful developed diagnostic AI in numerous ways.

Diagnostic capabilities has definitely been the most widely praised use of AI in healthcare over the last 6 months. Above you can see that there have been many recent developments, from detection of Alzheimer's and depression, to diagnosis of diabetes, jaundice and respiratory diseases. There are also many more diagnostic tools currently in development, and it is expected that they will have a huge impact on the healthcare industry.

— Healthcare Inequalities
This article published by Quartz Media highlights the worrying aspect of the use of AI in healthcare. They tell us that the algorithms used in this technology has been built on skewed data. Currently "healthcare inequalities are systemic and closely intertwined with social inequalities". For example, black men in the US have a far shorter

Get Access