AI Doctor

Overview of AI Doctor

  • AI Doctor, a special supporter behind the Private Doctor, which is the world leading AI-assisted diagnosis system and was independently developed by Ping An Good Doctor.
  • AI Doctor has a current supply of 777,777,777 with 559,961,939.474 in circulation.
  • AI Doctor (AIDOC) is a cryptocurrency token and operates on the Ethereum platform.
  • AI Doctor is down 1.28% in the last 24 hours.
  • Is AI really better than physicians at diagnosis?

    Mind Matters features original news and analysis at the intersection of artificial and natural intelligence.Through articles and podcasts, it explores issues, challenges, and controversies relating to human and artificial intelligence from a perspective that values the unique capabilities of human beings.Mind Matters is published by the Walter Bradley Center for Natural and Artificial Intelligence.

    How is AI used in clinics today?

    Its footprint is still relatively small.Only about 20 to 25 AI applications for health care have been cleared by the U.S.Food and Drug Administration.Most of these applications are marketed directly to consumers and are used for low-risk conditions – they do things like screen for eye disease or use your Apple Watch to detect certain heart-rhythm problems.Very few AI applications are actually used in hospitals for patient care, but this is beginning to change.For instance, my team at UCSF recently led the development of a new AI algorithm that works with portable X-ray machines.When a patient comes into an emergency room and gets a chest X-ray, the AI algorithm can review the image and detect certain life-threatening conditions, such as a collapsed lung.It can then alert the bedside clinician, which could lead to a faster diagnosis.

    What is the advantage of AI in medicine?

    There is a certain amount of bias that we, as humans, bring to any clinical scenario: Without even realizing it, we may look past critical pieces of information that could help our patients get better.AI, which is essentially a computer algorithm that learns from data, can uncover patterns that we can’t see – either because of those biases or because the human brain simply can’t assimilate the vast quantity of medical data that is now available from hospital sensors and other digital health devices.Ultimately, AI promises to reduce human error and make our care more efficient, which will improve outcomes for our patients.

    What concerns you about your health today?

    Check your symptoms and find out what could be causing them.It’s fast, free and anonymous.

    What else is coming down the pike?

    Within probably a decade, AI will be ubiquitous in the clinical environment.It will likely be embedded in ways that you, as a patient, may not even be aware of.As you are talking with your physician, for example, an AI application might be listening and crafting notes for your file.AI will certainly be an integral part of how we, as clinicians, take and read medical images.It will help us assimilate this information and other medical data to make informed recommendations, such as next steps or treatments that are optimal for your condition.

    Would you trust an AI doctor?

    The ethical implications of applying Artificial Intelligence in the healthcare sector are not an easy puzzle to solve.

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    Will robots ever replace human doctors?

    Never.If I told you, “You’re going to fly on a plane with no human pilot,” you’re not going to board that plane.It will be the same in medicine.AI is very powerful; it enhances what clinicians do and makes our jobs better.But we will always need to be there to guide it, inform it, and interpret what it’s doing.

    When artificial intelligence botches your medical diagnosis, who’s to blame?

    Artificial intelligence is not just creeping into our personal lives and workplaces—it’s also beginning to appear in the doctor’s office.

    Is AI really better than physicians at diagnosis?

    Amid the hype and hope for AI, one area has seemed to have some promise: The use of AI systems to aid and assist overworked medical staff.And, unlike many of the AI promises, the hope was backed by research assessing its quality.

    What is artificial intelligence in medicine?

    Artificial intelligence (AI) is technology patterned after the brain’s neural network sand uses multiple layers of information – including algorithms, pattern matching, rules, deep learning and cognitive computing – to learn how to understand data.

    Background: what is 'deep learning'?

    Deep learning is a term used for systems that learn in a way that is similar to how our brain works.It consists of networks of electronic 'neurons', each of which learns to recognize one aspect of the desired image.It then follows the principles of 'learning by doing', and 'practice makes perfect'.The system is fed more and more images that include relevant information saying – in this case – whether there is an anomaly in the retina, and if so, which disease it is.The system then learns to recognize which characteristics belong to those diseases, and the more pictures it sees, the better it can recognize those characteristics in undiagnosed images.We do something similar with small children: we repeatedly hold up an object, say an apple, in front of them and say that it is an apple.After some time, you don't have to say it anymore – even though each apple is slightly different.Another major advantage of these systems is that they complete their training much faster than humans and can work 24 hours a day.

    Where will AI make the largest impact on health?

    It may be in places around the world that do not have the resources of a big academic center like UCSF – a rural clinic, for example, or a battlefield, where a military corpsman is providing first-aid care.With AI, we can develop bedside tools and techniques that can help a less-experienced provider make more-informed clinical decisions.

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    What is it?

    STAT+ is STAT’s premium subscription service for in-depth biotech, pharma, policy, and life science coverage and analysis.Our award-winning team covers news on Wall Street, policy developments in Washington, early science breakthroughs and clinical trial results, and health care disruption in Silicon Valley and beyond.

    Like in the film Minority Report?

    Sure – we’re dreaming, right? You can imagine that very quickly we begin to see a story about the patient that could help us understand more rapidly what to do next.

    History of AI Doctor