ARTIFICIAL INTELLIGENCE (AI)
Artificial intelligence in the healthcare industry opens up many possibilities. AI improves precision, speed, and efficiency of providing healthcare solutions. Early treatment can be achieved through AI-driven analytics that can help practitioners find the right approach for a given patient.
Besides, artificial intelligence plays a critical role in the fight against COVID-19, including areas like pandemic detection, vaccine development, thermal screening, facial recognition with masks, and analyzing CT scans.
Let's see some use cases:
Computerized Tomography (CT) scan analysis
Artificial intelligence can detect pneumonia caused by COVID-19 in chest CT scans via multinational training data for machine learning.
Virtual assistants collect basic information to prepare documentation, schedule appointments and diagnose symptoms to direct the patient to a healthcare professional, which shortens the consultation time and improves customer service.
Management of Electronic Health Records (EHR)
Data (including patient information, new research findings, and diagnosis details), also called "Electronic Health Record (EHR)," is generated in large volumes every day in the healthcare industry.
The use of Artificial Intelligence in EHRs helps organizations gain insights to work with patients and make informed decisions. Besides, electronic health record systems, combined with AI, can provide practitioners with the ability to manage their observations instead of adding the data manually.
In oncology, Artificial intelligence is analyzing thousands of pathology images of various cancers to provide highly accurate diagnoses and predict the best possible anti-cancer drug combinations.
Notifying doctors when patients are in trouble
Many hospitals all over the world are using Google's DeepMind Health AI to help drive patients from diagnosis to treatment efficiently. The DeepMind Health Program alerts doctors when a patient's health gets worse and can even assist in the diagnosis of diseases by searching through the massive dataset for related symptoms.