& Medical Tourism DIHTF - Dubai 20 th -21 st Feb 2018 V S Venkatesh -India
The human brain is an amazing work of art, it has very complex neural circuits and the way it registers, stores, processes and analyzes information and takes decisions has always been a matter of fascination. It has been used in the airline industry for years now, to assist pilots to make decisions under difficult, high-pressure, complex situations. Many a scientist has been fascinated with this concept and thus was born artificial intelligence and deep machine learning.
Artificial Intelligence is the stethoscope of the 21st century.
Your Future Doctor May Not Be Human. This Is the Rise of AI in Medicine.
Cognitive computing and cloud-based AI technology is slowly transforming Radiology, Ophthalmology, Oncology, Pathology or even Surgery. Imagine a nurse or doctor popping up virtually on your smart phone and handing out consultation and prescribing meds driven by digital tsunami.
To be inside a hospital, you will have to be very-very sick with some very complex condition, Each Room bristling with technology Clinicians won't have to be physically present Tele Diagnostic applications powered by cloud systems would guide the treatment AI applied to cloud-based Big Data will assist clinicians.
46 billion data points to predict the medical outcomes of hospital patients
AI concept was propounded & has come a long way since Tin Man and Turing The Limitation to Progress was the limit of computer storage ( MONEY!?!) But as memory and speed of computers doubled every year, they finally caught up and even surpassed our needs. Deep Blue & Google s Alpha Go We now live in the age of big data, an age in which we have the capacity to collect, compress & store huge sums of information too cumbersome for a person to process.
Video of robot reading sent seperately
AI -- Revolutionising Healthcare Artificial intelligence has proved itself in many practical tasks - from labeling photos to diagnosing disease
AI Revolutionising Healthcare Design Treatment Plans to reach a specific goal Mining medical records and Analyse Big Data Machines can be taught to read images- X-rays, CT scans, MRIs and angiograms. This will be of immense value in mass-screenings, across continents any abnormality can be potentially treated through Telemedicine. Cleveland Clinic & Intermountain Hospitals
AI -- Revolutionising Healthcare Decision making and guidance Evidence Based Practice An AI system could alert a clinician when it detects a Disease Pattern its contraindications due to any possible genetic variation, to a planned treatment across Demographic Divides of the world Heart Sound Fluctuations Predicting patients at highest risk Companion robots for the elderly (Terradata, Clouderra, Hadoop, Python R)
Generating alerts and reminders IOT, Wearables pick up changes in a patients condition, scan laboratory results, critique therapy & send medication A tiny medical drone delivers a package in your backyard containing medication the GP prescribed for you earlier and which you forgot to buy.
AI & Robotics Impact the health care industry & Can be a Valuable tool in Medical Tourism In healthcare industry 1) drug manufacturing, 2) moving inventory, 3) dispensing drugs, 4) monitoring patient vitals and 5)carrying Robotics has already proven its potential in improving the quality of patient care, as well as making it more affordable. out surgeries.
Video of Robot movie doing surgery sent seperately
Earliest Memory of Medical Tourism
The latest entrant to this domain is the cutting edge Cloud robots. Cloud robotics convergence of information, and intelligent motion with the help of the cloud Can Perform Remote Surgeries.
AI Risks Medical data is very fuzzy and can be difficult to analyze at times. Medical evidence, Empathy, and Caregivers dedicated to their jobs make healthcare unique. Thus, a lot of techniques which Big Data, AI & Robotics proponents use,would have catastrophic consequences in healthcare. Especially in direct patient care. In a system trained to learn which patients with pneumonia had a higher risk of death It inadvertently classified patients with asthma as being at lower risk. The machine learning took this to mean that asthma + pneumonia = lower risk of death. sans Human Touch
Artificial intelligence is touching our lives in ever more important ways - it's time for the ethicists to step in, Bryan Lufkin more to see how technology can be used to help humans rather than to entirely substitute it
Fears of a robot apocalypse mask the actual problems that we face by increasingly letting our lives be run by algorithms And it is here we draw the line between Patient Centric, Empathy driven Treatment v/s Cold Data Crunched Analytics Can AI replace human emotions and intuition??
V S Venkatesh CEO & Director Morgenall Health Ventures. Ind. Director GlobalSpace Technologies India Hon. Director- International India Medical Tourism Council +91 96 00 11 88 11 venkatesh@vsvenkatesh.com LinkedIn V S Venkatesh Fb Venkatesh Vastare tweet VSVENKS