{"id":6280,"date":"2018-10-30T15:04:51","date_gmt":"2018-10-30T10:04:51","guid":{"rendered":"https:\/\/www.uksmobility.co.uk\/blog\/?p=2333"},"modified":"2018-10-30T15:04:51","modified_gmt":"2018-10-30T10:04:51","slug":"the-future-of-healthcare-9-technologies-that-will-revolutionise-our-lives","status":"publish","type":"post","link":"https:\/\/wheelchair-experts.in\/the-future-of-healthcare-9-technologies-that-will-revolutionise-our-lives\/","title":{"rendered":"The Future of Healthcare: 9 Technologies That Will Revolutionise Our Lives"},"content":{"rendered":"
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We are living in an age of rapid technological advancement, with transformative new inventions and discoveries changing the ways we experience our daily lives. Computers have experienced a trillion fold increase in processing power<\/u><\/a> in the past 60 years, which has contributed to everything from the meteoric rise of smartphones to incredible advances in artificial intelligence and whole waves of other futuristic technologies.<\/p>\n

The fields of health and medicine are no different. New discoveries and innovations could completely change the ways in which we fight disease, make diagnoses, and care for patients. Developments in artificial intelligence, robotics, and regenerative medicine mean we have powerful new weapons with which to protect our health, kill deadly diseases, and even extend our lifespans. Immortality could be closer than you think.<\/p>\n

We\u2019ve compiled this list of ten of the most important coming developments in healthcare and how you can expect these to transform the medical field. We\u2019ve included real life examples so you can see exactly how close these developments are to reality, and what progress has been made so far.\u00a0<\/p>\n<\/div>\n

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Table of Contents<\/span> <\/div>\n<\/div>\n

Artificial Intelligence<\/strong>
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Today, artificial intelligence is powering everything<\/u><\/a> from household digital assistants like Alexa, to our social media newsfeeds, and self driving cars. Scientists have made extraordinary advances in areas such as machine learning, neural networks, and natural language processing.<\/span><\/p>\n

These innovations allow computers to learn by analysing huge quantities of data, noticing patterns, and interpreting images and texts. This intelligence can then automate and speed up tasks, allowing for improved efficiency in a huge number of applications ranging from creating suggested playlists on Spotify to finding solar systems 2500 light years away<\/u><\/a>.<\/span><\/p>\n

Artificial intelligence is also improving healthcare, with machine learning meaning patient data can be better used in diagnosis and treatment. Algorithms can rapidly analyse vast quantities of medical data, \u00a0including medical records, patient habits, and genetic information and use this data to improve outcomes for patients. Take a look at just some of the ways artificial intelligence is being used:<\/span><\/p>\n<\/div>\n

Improved Diagnosis<\/h3>\n<\/p>\n
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Diagnostics is one of the biggest areas in health AI, with a third of healthcare startups focusing on this field<\/u><\/a>. Artificial intelligence could drastically improve patient outcomes by providing earlier detection of illnesses like cancer. It does so by detecting patterns across patient records and then making predictions and diagnoses based on this data.<\/span><\/p>\n

AI is capable of analysing huge quantities of data in this way, allowing for reliable diagnoses based on a patient\u2019s symptoms. In some instances, AI is now outperforming doctors at diagnosing life-threatening illnesses.<\/span><\/p>\n<\/div>\n

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Artificial intelligence also allows for earlier detection of disease. For example, currently some cancers may only show symptoms and be detected when they\u2019ve already progressed to an advanced stage, making treatment more complicated and expensive. On the other hand, artificial intelligence can detect symptoms and changes in health that indicate cancer before a physician might. An earlier cancer diagnosis nearly always creates a better prognosis for the patient, and it\u2019s been predicted that AI could prevent thousands of cancer deaths in the UK by 2033.<\/span><\/p>\n

Similarly, it\u2019s been shown that AI could detect symptoms of Alzheimer\u2019s<\/u><\/a> through subtle changes in behaviour and sleep patterns, years before these symptoms would be noticed by a doctor or family members. This means treatment and care can be better planned, and patients can benefit from experimental drugs that could improve outcomes when used in the early stages of the disease. It\u2019s even been shown that algorithms can successfully analyse brain scans to detect minute changes in brain tissue that indicate Alzheimer\u2019s. In addition, AI can predict how severe the disease will become, meaning more personalised treatment plans can be created.<\/span><\/p>\n<\/div>\n

Image Analysis<\/h3>\n<\/p>\n
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Medical professionals currently spend a huge amount of time examining scans. It can take two hours<\/u><\/a> to compare two 3D medical scans and figure out what\u2019s changed. It\u2019s a time consuming, painstaking task – but one that\u2019s vital for successful treatment.<\/span><\/p>\n

A research team at MIT has recently designed a machine learning algorithm that can examine scans up to 1000 times faster than is currently possible. This could make a world of difference in treating patients, as life-saving treatment can be administered more quickly.<\/span><\/p>\n

It would also allow surgeons to see how well a procedure is going with real time analysis of scans – again, creating better outcomes for patients.<\/span><\/p>\n<\/div>\n

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Drug Research<\/h3>\n<\/p>\n
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Designing and creating new drugs is a complex and time consuming process, with the vast majority of drugs failing during research. It can take 12 years for new drugs to reach patients, and costs on average $2.6 billion to develop a new treatment<\/u><\/a>. This is due to the number of steps involved:\u00a0<\/span><\/p>\n

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