Is AI the medication for healthcare to take the next step?

We live in a time when industries have been interrupted by the influx of new technologies. Heath care industry is no different than other, AI has had a positive impact on this industries. Right from a cough to finding cancer companies and industries have started to use AI to improve and help the healthcare industry. AI software has been developed (Cloud DX) that can detect tuberculosis, pneumonia, respiratory infection all by data collected from 750 coughs from patients and almost 1500 coughs from health people. AI and robotics have a vast potential when it comes to healthcare.

According to a report, about 86% of healthcare provider organizations, life science companies, and technology vendors to healthcare are using artificial intelligence technology. By 2020, these organizations will spend an average of $54 million on artificial intelligence projects.

Ways AI can change healthcare:

Medical records and data: the most commonly used AI app for compiling and analyzing information is data management. Robots can collect, store, reformat, and trace data to provide faster and more consistent information access

Repetitive jobs: robots can do all the analyzing of tests, x-rays and ct-scan faster and more accurately than a human.

Treatment: Beyond scanning health records to help providers identify chronically ill individuals who may be at risk of an adverse episode, AI can help clinicians take a more comprehensive approach for disease management, better coordinate care plans and help patients to better manage and comply with their long-term treatment programmes.
Digital consultation: Apps like Babylon in the UK use AI to give medical consultation based on personal medical history and common medical knowledge. Users report their symptoms into the app, which uses speech recognition to compare against a database of illnesses. Babylon then offers a recommended action, taking into account the user's medical history.

Medication management: The AiCure app monitors the use of medication by a patient. A Smartphone's webcam is partnered with AI to autonomously confirm that patients are taking their prescriptions and helps them manage their condition. Most common users could be people with serious medical conditions, patients who tend to go against doctor advice, and participants in clinical trials.

Early detection: the help of AI, body scans can spot cancer and vascular diseases early and predict the health issues people might face based on their genetics.

Health monitoring: there are already devices that keep an eye monitoring your daily activities heart rate, blood pressure. These apps can not only learn the habits of the person but collect the data about his health and then can share the required information to the doctor or AI systems if required in the future.

Drug creation: According to the California Biomedical Research Association, it takes an average of 12 years for a drug to travel from the research lab to the patient. Only five in 5,000 of the drugs that begin preclinical testing ever make it to human testing and just one of these five is ever approved for human usage. Furthermore, on average, it will cost a company US $359 million to develop a new drug from the research lab to the patient

Source: HOB

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