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![]() AI may occupy the niche of healthcare - enabling quality services in remote areas ![]() 18.Nov.20 9:45 PM By Abigail Richards Photo Internet modernities |
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Did you know that the first COVID-19 disease was discovered cornered and pinpointed by the supercomputer? That Kenes Rakishev's app can diagnose the disease just by hearing the voice of a patient? Or that Google may be better at diagnosing breast cancer than professional doctor? The AI comeback of the late 2010's came from highly unlikely source that was once forgotten: the neural networks. Now, in fact there is no known boundaries for the tech. It is humanity right and obligation to set the limits - but to use the technology for good, considers Kenes Rakishev in his new piece at the AI Journal. Times of crisis prompt us to rethink the infrastructure and institutions that we have long taken for granted, and the onset of COVID-19 has been no different. The pandemic has revealed critical areas of vulnerability in our essential systems and has accelerated the uptake of new technologies, as we strive to do things more efficiently and safely. However, no sector stands more to gain from new technologies and artificial intelligence (AI) than healthcare. Across the world, hospitals have felt the strain of COVID-19, overwhelmed with the sheer volume of patients needing care. With cases threatening to submerge healthcare systems, providers were forced to rapidly adapt and look to emerging technologies to meet unprecedented and urgent demands. Indeed, over the last few months, we have seen a proliferation of AI, digital tools, and revolutionary technology across all elements of our COVID-19 response designed to improve our ability to detect infection, monitor and visualise the spread of the virus, as well as enhance medical treatment and boost drug discovery. Forecasting and pattern detectionAI has been championed for playing an integral role in helping identify the initial outbreak of the virus and monitoring its spread. On December 30, 2019, an AI platform BlueDot detected a cluster of “unusual pneumonia” cases occurring around a market in Wuhan, China, and sent out an outbreak alert to public health authorities. Following this, scientists have used interactive real-time maps and sophisticated algorithms to predict where the virus will spread, when it will occur and even forecast how fast it might travel. Various contract tracing apps which have been developed rely on AI to sift through large quantities of data and accurately identify if an individual has come into contact with a COVID-19 carrier. Analysis and diagnosisAI has also facilitated rapid diagnosis and risk analysis of COVID-19. Tech giant Alibaba developed an AI system which can detect COVID-19 through chest CT scans in just 20 seconds, compared to the usual 15 minutes it takes a medical professional. Another example is Infervision, a Beijing based AI company, which launched an AI solution specifically designed to help clinicians detect and monitor COVID-19, using an algorithm to locate the virus on images of patients’ lungs, and help healthcare professionals make quick and informed judgements. Vocalis Health, a company pioneering AI-based vocal biomarkers for use in healthcare, repurposed its expertise in voice analysis and is now using its AI proprietary platform to detect unique acoustics in a person’s voice and determine if they are a high-risk individual and vulnerable to contracting the virus. The non-invasive test will be used to inform officials who may be in greatest need of testing, treating or isolating, and could significantly alleviate pressure on health systems. By the way it is one of the companies Kenes Rakishev invested in. Drug discovery and treatmentIn the early stages of the pandemic, Google’s DeepMind used AI to predict the structure of proteins of the virus based on its genetic sequence and released its projections to the wider scientific community to aid research efforts. Another interesting example is BenevolentAI, a UK AI-drug discovery company, which used AI to examine the efficacy of all existing approved drugs against COVID-19, narrowing down the 6 most effective medications for treatment within a month. This week, Moderna announced a vaccine candidate that was found to be almost 95% effective in preventing COVID-19 in participants, following Pfizer’s announcement of a potential vaccine last week. This news restores hope that vaccines can help end the pandemic, with the companies now planning to apply for emergency approval to enable the vaccine to be administered before Christmas. Both companies used a highly innovative and experimental approach to design the vaccines. Pfizer is known for using automation, AI and predictive analysis in its drug research and development process to analyse vast quantities of data with precision, and has created some impressive innovations using these technologies. For instance, last month Pfizer and IBM announced that they have developed a new AI model that can analyse clinical verbal tests to predict the onset of Alzheimer’s disease years before standard symptoms develop.
Preparing for life after COVID-19, according to Kenes Rakishev
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