Medical device companies have been using increasingly sophisticated artificial intelligence to automate their business, even as doctors have been prescribing the same drugs.
This year, a slew of new technology companies, including IBM, are creating new types of devices that can do much more than diagnose, treat, and diagnose medical conditions.
Here’s what they can do: Analyze medical data to improve care.
As medical devices are becoming more advanced, it’s become increasingly important for doctors to have a clear understanding of what patients need.
IBM’s Watson medical assistant is one example of this trend.
Its artificial intelligence (AI) platform, called Watson Health, can analyze thousands of medical documents to provide doctors with useful insights about patients.
Its AI system can also perform tasks like determining a patient’s overall health and location, and it can even help doctors manage medications.
Watson Health’s AI can also provide guidance about whether to prescribe a drug or not, whether a patient has a condition, and even when they should start and stop treatment.
IBM says Watson Health can improve doctors’ ability to prescribe and manage medications by identifying what factors make patients’ health and physical condition different from others, and how they interact.
IBM also uses Watson Health to analyze patient health records and other medical data, to create predictive models, and to make recommendations about the appropriate treatment for patients.
Analyze patient health data to help doctors understand patients’ needs.
Watson health is a great example of what a doctor can do with AI.
In a recent research paper, the company found that doctors could learn to use Watson Health for things like predicting whether to treat someone who had a cold, how often to administer medications, and what factors affect how often patients need to be hospitalized.
The system also can learn to recognize and interpret patient body posture, which can help doctors predict how long it will take a patient to recover.
The company says Watson can also be used to determine whether a person’s health is more likely to improve if they have diabetes or are taking an ACE inhibitor, a drug that blocks an enzyme called acetylcholine in the brain.
The machine can also recognize which patients are at risk for developing cancer, and then suggest that treatments that would help reduce that risk could be a good option.
Analyse patient health to improve physicians’ quality of care.
Watsonhealth can also help doctors improve their quality of service.
Watson can use medical data it’s collected to help physicians make decisions about how to help their patients, and the company says that it can provide advice that helps doctors improve patient care by identifying the most common reasons for care, and also helping them make better decisions about which patients need treatment and how long to stay in the hospital.
In some cases, Watson Health also helps doctors make decisions like whether to seek treatment for a specific condition, or which drugs to prescribe.
WatsonHealth also can recommend drugs that doctors might not be able to find elsewhere.
Watson could recommend that a doctor use certain drugs to treat a specific disease, such as cancer, but it can also recommend that doctors use certain types of drugs for cancer.
IBM is also exploring how it could use Watson health to analyze data from a patient database to determine the quality of the patient’s care.
IBM said in a blog post that the company is currently testing Watson Health in hospitals and clinics around the world, and that Watsonhealth has been downloaded over 400 million times, meaning it’s being used by thousands of doctors around the globe.