Artificial Intelligence In Health Care

Artificial Intelligence has captivated the minds and influenced many lives with happiness as people get their answers through predictions or get their cheque deposited virtually. Today I would like to point out some remarkable changes in the healthcare industry that was helpful through AI involvement. AI has become a game changer to doctors and patients by conducting surgeries that are robot assisted and safeguarding the confidentiality of records that are saved from cyber hackers and criminals.

We know that the healthcare industry has suffered from a lot of drawbacks with heavy cost on medicines and failed processes of inefficiency. AI has been given a much needed boost to the healthcare industry in recent times. AI assisted virtual assistants are saving 25 percent of a nurses time that are lost in between. Workflow assistants save 18 percent of doctors time in scheduling appointments.

Let me explain a few examples of AI in healthcare:

PATHAI : improves diagnostic pathology In Boston, pathologists use PATHAI that uses AI powered technology which is helpful in analyzing tissue samples and also treatment of diseases.This technology can identify clinical trial participants too. Pathai has been implemented at Bill and Melinda foundation and Philips to develop high volume testing tools and provide support for further access to diagnostic advancement.

PAGER- Proactive Health care Management This is a unique app developed in New York that helps patients to understand their minor illnesses, aches and pain.To understand a gap in a patient's illness,clinical and claims data are analyzed by the company through expanded use of machine learning.Through this app, people get healthcare recommendations, schedule appointments and make payments. This app also helps a patient to chat with a nurse 24/7 and also talk to a doctor when needed and fill prescriptions.

ATOMWISE- To facilitate drug discovery, Atomwise uses AI along with deep learning. Atomwise's algorithms can "extract insights from millions of experimental affinity measures and thousands of protein structures to predict the obligation of small molecules to proteins." Atomwise has the ability to analyze billions of compounds and identify areas of discovery.This technology has been speeding up the work of chemists.The company's AI use has helped screen 10=20 million compounds in a day of patients for clinical trials. Atomwise has been used to solve medical issues of Ebola and sclerosis.

I would like to conclude by saying that this deep inclusion of AI and machine learning to the healthcare field has so far done good to patients as well as people working in the concerned department. These unique technologies will hopefully get more advanced with its algorithm usage so that more medicines can be discovered and more diagnoses of diseases can be made to resolve any future catastrophic situations of not finding a cure for any disease.