In 2015, a “The Incredibles” poked many people’s tears, and a robot called “Great White” is cute for countless people. In the movie, Dabai is a robot that combines artificial intelligence, medical care and combat capabilities, and its biggest task is to guard.
From the point of view of medical care, Dabai can sense the user’s physical signs, health data and emotions through cameras and other devices, and then take measures for health care. In the movie, the main character, Hong, is hugged by Da Bai twice, once because of his brother’s death and Da Bai scans that he is depressed; the other time he falls into the water and is hugged by Da Bai when he senses his body temperature dropping. Great White also adjusted his own temperature to raise Ah Hong’s body temperature.
With the rapid development of artificial intelligence, it is no longer a myth to replace health care workers with robots. Watson robots, da Vinci robots, robot nurses, intelligent logistics robots, dispensing robots …… have all been put to work in major hospitals around the world.
With the further integration and depth of AI+medicine and massive investment at the policy and funding levels, AI assistive technologies are also helping in several medical segments. One of the world’s top ten AI scientists, a member of the four national academies in the United States in the four houses, and the chairman of the NIPS Foundation, the world’s top conference on artificial intelligence, Terrence Xenofsky, predicted in his new book Deep Learning: The Core Driving Force in the Age of Intelligence that: deep learning based on big data will change the medical industry, providing faster and more accurate diagnosis and treatment of diseases, and even cancer will become less scary in the future.
The application of AI in the medical field means that people all over the world will be able to get more inclusive medical assistance, better diagnosis, safer minimally invasive surgery, shorter waiting time and lower infection rate, and also improve the long-term survival rate of each person. Looking at the development of the global medical industry, AI healthcare will deeply impact our lives in these 5 directions.
Medical image recognition: giving doctors an extra pair of eyes
In traditional medical scenarios, it takes a long time and costs a lot to train up excellent medical imaging professionals. In addition, manual reading of films is too subjective, insufficient use of information, and prone to misjudgment in the judgment process.
According to a study, more than 90% of medical data comes from medical imaging, but imaging diagnosis relies too much on human subjective consciousness and is prone to miscalculation. By learning a lot of medical images, AI can help doctors locate lesion areas and reduce the problem of misdiagnosis. Oncology imaging is currently the most applied AI in medical imaging, among which lung nodule and lung cancer screening, breast cancer screening and prostate cancer imaging diagnosis have been widely used in medical imaging diagnosis and treatment work.
Intelligent diagnosis and treatment: Say NO to misdiagnosis
Intelligent diagnosis and treatment is the application of artificial intelligence technology in the diagnosis and treatment of diseases. Computers can help doctors conduct statistics on pathology and medical examination reports, analyze and mine patient medical data through big data and deep mining technologies, and automatically identify clinical variables and indicators of patients. By “learning” relevant expertise, the computer simulates the doctor’s thinking and diagnostic reasoning to give reliable diagnosis and treatment plans. Intelligent diagnosis and treatment is the most important and core application of artificial intelligence in the medical field.
IBM’s Watson robot can read 3469 medical monographs, 248,000 papers, 69 treatment options, 61,540 trials and 106,000 clinical reports in 17 seconds. In 2012, the Watson robot passed the U.S. Occupational Medicine exam and was deployed in several hospitals in the U.S. to provide complementary care. The Watson robot is currently providing consultation and treatment services for a variety of cancers, including breast, lung, colon, prostate, bladder, ovarian, and uterine cancers.
Drug development: Buying time for life
Relying on the big data information of millions of patients, the AI system can quickly and accurately mine and screen out suitable drugs. Through computer simulations, AI can predict drug activity, safety and side effects to find the best drug to match the disease. This technology will shorten the drug development cycle, reduce the cost of new drugs and increase the success rate of new drug development.
For example, when a person is diagnosed with cancer, an intelligent drug development system will use the patient’s normal cells and tumor to instantiate its model and try all possible drugs until it finds one that kills the cancer cells without harming normal cells. If it cannot find an effective drug or combination of effective drugs, then it proceeds to develop a new drug that can cure the cancer. If the drug cures the cancer but still has some harmful side effects, the system tries to tweak it to get rid of the side effects.
Silicon Valley’s Atomwise’s virtual drug discovery platform technology uses deep learning neural networks to discover and design small molecule drugs with unprecedented speed, accuracy, and diversity. for the treatment of multiple sclerosis. In 2015, Atomwise applied AI algorithms based on existing drug candidates to successfully find two drug candidates that could control Ebola in less than a day, when similar research had previously taken months or even years.
Medical robots: sci-fi shines into reality
Robots are used in a wide range of medical applications, such as intelligent prosthetics, exoskeletons and assistive devices to repair damaged human bodies, and health care robots to assist health care workers. Currently, research on the application of robots in the medical community is focused on surgical robots, rehabilitation robots, nursing robots and service robots.
Medical robots, a magical species that originally existed only in science fiction and science fiction movies, are slowly penetrating our lives and gradually becoming a new hot spot for entrepreneurship and investment.
Intelligent health management: your personal health expert
Intelligent devices built according to artificial intelligence can monitor some basic physical characteristics of people, such as diet, body health index, sleep, etc.. A simple assessment of physical quality is made, individualized health management solutions are provided, the risk of disease occurrence is identified in time, and users are reminded to pay attention to their health and safety. The current applications of AI in health management are mainly in risk identification, virtual nurses, mental health, online consultation, health intervention and health management based on precision medicine.
Certain medical companies have started to develop smart wearable devices for medical care. By connecting with smartphones and integrating data from multiple channels such as electronic medical records, AI systems can provide patients with personalized health management solutions and help patients plan their daily health arrangements. Meanwhile, through cell phones or home smart terminals, users can contact the intelligent health consultation service platform at any time to get professional advice on condition analysis. Exclusive health management personnel are also provided to offer a variety of services such as home physical therapy and home delivery of medication.
If you have serious sleep problems, the traditional medical institutions will let you lie in bed, in your body connected to dozens of electrodes that can monitor your EEG and muscle activity while you sleep, in this state sleep is definitely a challenge. A U.S. technology company has developed a small device, iBrain, that records your EEG information at home, transmits the data online and analyzes the data for long-term trends and abnormalities. This technology is now entering the long-term care facility market to help address progressive sleep problems that are more prevalent in older adults.
With medicine always following in the footsteps of science, technological innovation and interdisciplinarity working together to promote the advancement of modern medicine, AI medicine is certainly poised for an extremely rapid development phase. Of course, from the current state of affairs, the application of AI in the medical field still has a long way to go, and we expect AI to bring us a better future.