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How Artificial Intelligence Improve Future Healthcare?
Artificial intelligence’s (AI) transformative power is spreading across many industries, but in one—healthcare—its impact promises to be genuinely life-changing. Be it patient care or clinical research, drug development, insurance, or genomics. Ai is revolutionizing the health sector works to cut costs and improve the delivery of medical services.
Investments in any particular field are indicative of its utility and the value it holds. The public and private sector combined have made considerable investments in healthcare AI: Investments in health care could reach $6.6 billion by 2021, claims analysts. Accenture, a multi portfolio IT firms have asserted that the top AI applications may result in annual savings of $150 billion by 2026. Already signs of medical dreams have begun to show up, following paras illustrate some of the fantastic applications of Modern technological tools and AI.
“Thibault, a 30-year-old paralyzed man, was able to move his limbs using a ‘mind reading’ exoskeleton.” reports BBC. Though Thibault can move and walk, his movements are far from perfect. This experiment is currently limited to labs, but the future is not now when exoskeletons may be a reality in medical practices.
“Last year, Atomwise announced that they found two drugs predicted by the company’s AI technology, which may significantly reduce Ebola infectivity.” This analysis, using AI/ML, has cut down analysis time from years to just a day!
The latest developments in AI and ML, backed up by advancements in quantum computers, present a very promising picture of the future. Magical results, like above, are being reported every other day by medical journals and practitioners.
AI and ML have empowered new era doctors with immense computational capabilities as well have transformed the diaspora from manual to complete automation. The predictive techniques and deep level analysis deployed in intelligent algorithms provide incredible insight into the future.
The best uses of artificial intelligence in health care is its use in data mining, deployed for zettabytes of information in terms of medical records. The use of AI/ML for data mining saves unimaginable time and effort. Also, it offers multiple plausible alternatives.
Recently, Google launched its Deepmind Health project for mining medical records to provide better and faster health services. The said project is in its pilot stage, and model studies are run in collaboration with the Moorfields Eye Hospital NHS Foundation Trust. Model study aims to use the predictive capabilities of AI to improve eye treatment.
In another development, IBM Watson launched its clinical evidence-based treatment options for oncologists. Watson is said to analyze the meaning and context of structured and unstructured data in clinical reports, which are critical to selecting a treatment pathway. Further, it combines attributes from the patient’s file with clinical expertise, external research, and data. Thus, using powerful predictive abilities of ML, Watson suggests potential treatment plans for a patient.
AI, coupled with next-gen Quantum computers, have provided un-imaginable computing speed, which is of paramount interest in the development of drugs. Developing pharmaceuticals through clinical trials sometimes may take more than a decade and costs billions of dollars. Converging the process faster and making more cost-effective will have an enormous effect on healthcare and how innovations reach everyday medicine.
“If we can find a remedy for deadly viruses well ahead in time, then possibly we can avoid epidemics” said Alexander Levy, COO of Atomwise.
Artificial intelligence also plays a supportive role in genetics and genomics. Deep Genomics strives at identifying patterns in macro datasets of genetic information and medical records, looking for familiar patterns, mutations, and linkages to disease. The company is developing a new generation of computational technologies that can give doctors a vision into the future a cell when DNA is altered by genetic variation, whether natural or therapeutic.
In line with developments in Genomics, Craig Venter, a Human Genome Project evangelist is developing an algorithm to design a patient’s physical characteristics based on their DNA. Human Longevity, Craig’s brainchild offers his patients complete genome sequencing coupled with a full-body scan and detailed medical check-up. The process helps to spot cancer or vascular diseases at a very early stage.
While solving the intricate and erstwhile impossible tasks, AI has also spread across the customer’s space. Now advancements are being made for online consultation, digital assistance, and remote supervision. An AI company, Sense.ly, has developed the world’s first virtual nurse, Molly. It has a familiar appearance of a smiling, friendly face and a pleasant voice, and it is programmed to help people by monitoring their condition and treatment. The interface is based on machine learning to support patients with chronic conditions in doctor’s absence. It offers vetted, monitoring, and post-treatment care, with a focus on chronic diseases and suffering patients.
Further, there is an App for monitoring patients in realtime to ensure that they are taking their medications as prescribed. The AiCure app, patronized by The National Institutes of Health, uses visual records obtained via webcam and AI to ensure that patients are adhering to their prescriptions autonomously. It is handy for people with severe medical conditions for patients who tend to forget doctor’s advice and participants in clinical trials.
“We don’t have enough labor to manage everyone’s health all the time with a doctor and a nurse,” Housman says. “So, we need this boost of artificial brains to be able to support people.” AI/ML could help overcome some of the critical challenges of health care. It could save a lot of money spent on healthcare (the non-adherence problem), some could improve the efficiency of treatment (cheaper, more accurate, and more accessible diagnostics), some could help mitigate one of the direct threats to humankind’s existence, like developments in Ebola drug.
The world remains enchanted with the capabilities of AI and ML and is enthusiastically investing in applications of technology in all the fields, especially health care. If the current trend of investments and R&D continues, then time is not far when breathtaking medical discoveries and treatments will dominate the news not from time to time, but several times a day. Possibilities are non-exhausting, and the future is bright. It is the right time when a common man should understand and embrace Artificial Intelligence.