AI Applications In Health Care. Many industries have been disrupted due to the introduction of new technologies in the Information Age. Healthcare is no different. In particular, in the case of automation, machine learning, and industries related to artificial intelligence (AI), doctors, hospitals, insurance companies, and healthcare, all have been affected – in many cases more positive, in an adequate way than other industries.
AI Applications In Health Care
According to the 2016 Insight of CB Insights, health care providers are using around 86% artificial intelligence technology for organizations, life science companies, and healthcare providers. By 2020, these organizations will spend an average of $ 54 million on artificial intelligence projects.
So what solutions are the most applicable? There are 10 common methods of AI that are changing healthcare in the future.
1. Managing Medical Records and Other Data
Since the first step in health care is to compile and analyze information (such as medical records and other past histories), data management is the most widely used application of artificial intelligence and digital automation. Robots collect, store, reformat and trace data to provide faster, more consistent access.
2. Doing Repetitive Jobs
A robot can be analyzed by testing, X-ray, CT scan, data entry, and otherworldly tasks all faster and more accurately. Cardiology and radiology are two disciplines where the amount of data to be analyzed can be heavy and time-consuming. In the future, cardiologists and radiologists should only look at the most complex cases where human supervision is useful.
3. Treatment Design
Artificial Intelligence System is designed to analyze data – Notes and reports from a patient’s file, external research, and clinical expertise – To help select the right, individually optimized treatment path.
4. Digital Consultation
Applications like Babylon use AI to provide medical advice on the basis of personal medical history and general medical knowledge in the UK. Users report their symptoms in the app, which uses speech recognition to compare against the database of diseases. Then Babul takes a recommended action keeping in mind the user’s medical history.
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5. Virtual Nurses
Startup Sense.ly has developed Molly, a digital nurse who is a digital nurse to help people between doctors’ visits, with monitoring and treatment of people’s condition. The program uses machine learning to support patients specializing in chronic diseases.
In 2016, Boston Children’s Hospital developed an app for Amazon Alexa, which provides basic health information and advice for the parents of sick children. In the App Response, the question has been asked about medicines and what is the need for a doctor’s visit to the symptoms.
6. Medication Management
National Institute of Health has created an Aurore App to monitor the use of medicines by a patient. A smartphone is partnered with AI in the webcam, which autonomously affirms that patients are taking their prescriptions and helping them manage their condition. Most common users can be people with serious medical conditions, patients who go against doctor’s advice and participate in clinical trials.
7. Drug Creation
Through the clinical trials, it can cost more than a decade and billions of dollars to develop pharmaceuticals. By making this process faster and cheaper, the world could change. Between the fear of recent Ebola virus, a program operated by AI was used to scan existing medicines which can be redesigned to fight the disease.
Two medicines were found in the program which can reduce Ebola infection in one day when this type of analysis usually occurs for months or years – a difference that can mean saving thousands of lives.
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