When you visited the doctor the last time, do you remember meeting her AI helper? No, I don’t remember either. But guess what, artificial intelligence (AI) is looking at our biometrics and combing through millions of past patient history and medical research papers to make predictions about our health.
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Read on whether you are a healthcare provider, work in a hospital or clinic or health insurance or pharmaceutical company or you are an entrepreneur aspiring to bring AI to any of these industries.
Value from healthcare data
Hospitals are losing $300 billion yearly just in the U.S. from the lost opportunity of creating value from healthcare data. Healthcare data is growing in volume to reach a new measurement unit called yottabytes, one of which is the equivalent of 280 bytes.
Artificial intelligence technologies are beginning to be employed on healthcare data to make sense of patterns of fraud, improve clinical inefficiencies and coordinate care processes to reduce healthcare costs by 80%.
AI disruptions in healthcare has begun.
Top AI disruptions in healthcare
Connected hospitals with intelligent messaging
In today’s hospitals, pacemakers, defibrillators and oximeters are all connected to the internet and share vitals immediately with doctors, in turn speeding response times. Hospitals have technicians, nurses, staff, billing departments, insurance providers, patients and patients’ families as stakeholders, each with different requirements of information about the care given to patient.
Unified Inbox offers an AI-based unified cloud IoT messaging platform for internet of things devices to connect various stakeholders, giving them the freedom to receive different messages at different frequency, with different senses of urgency in different mediums of their choice. Unified Inbox launched this at Nanyang Polytechnic in Singapore as “CUBE,” the IoT-secured messaging gateway for healthcare. The artificial intelligence makes the hospitals connected, giving peace of mind to patients and their loved ones while improving efficiency in the overall hospital management and interaction with all stakeholders.
Drones as a service
Artificial intelligence is used in the form of machine learning and computer vision to train drones to drive autonomously. Drones are now deployed as a service and have begun disrupting healthcare industry.
Zipline makes a drone that delivers medical supplies in Rwanda. Delft University in the Netherlands has piloted the Ambulance Drone, which can drive autonomously to an emergency site on-demand and will act as the eyes of remote emergency personnel while acting as a connected defibrillator.
Robotic haptic feedback toys and robotic surgery
Robots are driven using artificial intelligence. BigAu makes robots in the form of toys for kids in long-term care in hospitals. BigAu uses IBM Watson’s AI technology to teach the robot biomimicry social skills to collect information about how the child is feeling from biometrics and haptic feedback to get optimal care for the child.
Robotic surgery is another area where robots are used to perform remote surgery with a skilled surgeon at a console in the operating room, manipulating the wristed robotic instruments in real-time. DaVinci Surgical Systems have performed robotic surgery on three million patients. Robots are not only used for remote access, but also for precision during the surgery.
Robotic arms are also being developed to act as prosthetic arms for disabled patients, but with the help of AI they allow the patient to move the robotic arm using their mind by mapping the electric pulses from their thoughts.
Deep learning algorithms
AI algorithms can comb through large volumes of patient data to look for patterns to make a personalized prediction about whether a patient is likely to get certain diseases. DeepMind, a Google company, has partnered with NHS in the UK with an app called Streams to apply deep learning AI algorithms to patient data to predict kidney failures or eye problems before they occur. DeepMind also uses AI to help doctors separate out cancer cells from non-cancer cells for radiation therapy.
IBM Watson AI took 10 minutes to comb through 20 million cancer research papers, and helped a patient in Japan get the right treatment by spotting a rare type of leukemia. IBM Watson has partnered with Memorial Sloan Kettering Cancer Center and created Watson Oncology to augment the physician’s experience to identify the type of cancer in patients. IBM is making this AI available for their employees and their families fighting cancer starting in January 2017.
AI is here to save lives now!
Wearables inside us
Wearables are becoming available as pills to swim inside our bodies. This seems far-fetched, but the applications from such pills are also equally amazing.
Proteus offers a FDA approved pill that can track our biometrics from inside our bodies. Nanobots are tiny devices that swim inside our body and share pictures of our cells. This creates a huge volume of images, which are processed by artificial intelligence using machine learning to identify cancer cells. The nanobots can then be used to kill the cancer cells.
Which AI innovation will disrupt the world?
Which of these AI disruptions do you think will change the world of medicine, extend life and change our interaction with intelligent machines? Which AI do you see disrupting your industry? Where do you see the opportunity? Do you see any challenges for your industry?
I am excited to meet my doctors’ AI helper soon. Are you?
I look forward to your thoughts and continuing the discussion.
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