If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
While it is difficult to predict the impact of automation and artificial intelligence (AI) on the economy and the labour market, they have huge potential in sectors such as healthcare, Bill Gates, co-chair of Bill & Melinda Gates Foundation, said. "Certainly we use AI to do drug discovery. These biological systems are very complicated and so the fact that we have vaccines for TB and HIV coming, that is partly enabled by this rich data, advance in biology and machine learning," he said. Gates was speaking at the inaugural'Mint Visionaries' event in New Delhi where he was in conversation with Rishad Premji, chairman of Wipro Ltd. Though machine learning can give us some miracle tools, its impact on jobs is an important issue, he noted.
Artificial Intelligence, the science of inducing the simulation of human intelligence in machines, especially computer systems, is the future of all industries. There have been many instances of AI taking over manual work to increase efficiency and decrease work load in the industrial sector. The technology is also expected to have a boom in the medical sector because of the constant need of improvement of the machinery and medical equipment. This advancement in science could save a million lives by helping the doctors in diagnosing, treating, preventing, and rescuing the diseases by the push of a button. How it works is, basically a company which is trying to develop an AI for a particular hospital or even for the government, has to take in a ton of data from a ton of people.
PHOENIX--Early adopters of artificial intelligence solutions are beginning to see success in clinical areas such as predicting readmissions and avoidable emergency department visits, according to a joint report from KLAS Research and the College of Healthcare Information Management Executives (CHIME). KLAS and CHIME polled early adopter healthcare organizations using AI software, specifically machine learning and natural language processing, to evaluate the gains they've achieved in clinical, financial and operational areas. "The most exciting insight from our research is that artificial intelligence (machine learning and natural language processing) has truly begun to make a difference in healthcare. It's not all just smoke," Ryan Pretnik, director of research and strategy at KLAS and co-author of the study, said via email. "Artificial intelligence is driving outcomes, saving patient lives, and driving operational and financial efficiencies for providers and payers."
Investors just poured a record sum of cash into startups looking to use artificial intelligence (AI) to change healthcare. In the third quarter, healthcare AI companies raised almost $1.6 billion across 103 deals, according to a new report from CB Insights. That's a record sum, and an increase from the $749 million healthcare AI startups took in a year ago. Global deal count is on pace to reach an all-time high, according to the CB Insights report. And in total, healthcare companies have raised over $37.5 billion so far this year, the report says.
The impact of artificial intelligence in the healthcare sector is undeniably potent, as we have seen and explored over the last few months, AI has the potential to truly revolutionize and every factor of modern healthcare. From diagnostic purposes such as we see at Moorfield's NHS Trust dealing with complex optical coherence tomography scans, or OCT scans for short, to the systems built by giants such as Philips Healthcare and Cerner who manage the daily management of the hospital. However, most clinicians agree that artificial intelligence has an assistive role to play in healthcare, far from a leading role, and as such these systems will help clinicians to assign priorities to patients, spot the easily missed features in specimens of medical imaging and generally speed up the process of a patient's journey through healthcare; although it must be mentioned that AI does what humans can do faster and more accurately in terms of assessing X-rays, MRIs and so forth, as you will have seen vividly boldly titled amongst most major technology news platforms, but these claims are in need of long term assessment with far more diversified patient sets that would be more typical of the overcrowded NHS wards that bring people from all walks of life for the common goal of an unconditionally excellent healthcare. As, with consent, data sets grow through the hospital's daily running as doctors request medical imaging modalities throughout the day, constantly improving the apt of the systems in place; as the data grows, so does the performance of the system.
Throughout the centuries, humans have made tremendous leaps forward in the way we build, interact, and communicate with each other and the world. More recently, we've shifted self-execute industrialization to the age of information. We now have a seemingly unlimited amount of knowledge available at our fingertips. Technological advances are now accelerating faster than ever before. As technology continues to evolve, we can expect it to impact all aspects of our lives and society as a whole.
Machine learning and, subsequently, artificial intelligence have gone quite far since the early days of computer science. Nowadays, they have application in a wide array of fields. Among them, the medical sector is one which has benefited greatly from the implementation of artificial intelligence. Specifically, the addition of machine learning in healthcare has so far allowed for a lot of procedures to be improved altogether. And it does not stop here.
Whether it's your resting heart rate, cholesterol count or blood pressure, healthcare has always been obsessed with numbers and data. Surgeries and hospitals are awash with measurements, charts and test results, with more data being generated now than ever before. As technologies such as artificial intelligence and IoT become more prevalent in our day-to-day lives, that's only going to increase. But how can they be used to help us live healthier and longer lives? A huge range of companies are getting involved in health and fitness, including some of the biggest consumer tech brands in the world, which has kickstarted a whole new wave of health-focused products.
As an industry defined by the relationship between patient and carer, at first glance it may seem incongruous to nudge healthcare towards a robotic future. In fact, artificial intelligence (AI) has the potential to completely reshape the health industry, offering greater support to human capabilities and allowing healthcare organizations to deliver higher-quality services more efficiently. AI is a broad term for computer systems that can "think" and act like humans. They can sense their environment, absorb information, learn from past experience, make decisions and take action. AI has transformative power for two reasons: the explosive growth in data, coupled with huge computational advances and processing speeds.
Innovative start-ups can play a major role in the Indian healthcare system as the fourth industrial revolution is characterised by a fusion of technologies that is blurring the lines between the physical, digital and biological domains, according to Kris Gopalakrishnan, Chairman, Axilor Ventures Private Ltd, Bengaluru. Delivering the 27th convocation address of Manipal Academy of Higher Education (MAHE) in Manipal on Friday, Gopalakrishnan, said that there is tremendous disruption at the edge and at the intersection of emerging technology domains and economic activity. Stating that Artificial Intelligence (AI) is becoming one of the most important technologies of all time, he said AI is now getting deeper into what were so far specialist human domains. Referring to the example of a real-time image-guided and robot-assisted surgery where imaging coupled with robotic assistance helps in assessing the area of procedure, monitoring the tools in 3D, and updating patho-physiology knowledge of the targeted tissue in real-time, Gopalakrishnan said this innovation is at the intersection of AI, robotics, biotechnology, telecommunications and clinical domains. Many more such innovations are emerging and defining the 21st Century, he said.