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AI has arrived - PharmaTimes Magazine October 2018

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Artificial intelligence is poised to change the pharmaceutical and healthcare industries as it looks to streamline, speed-up and improve overall efficiency. It might still be early days but it's a bandwagon that organisations are quickly jumping on board. According to a CB Insights report, about 86% of healthcare organisations, life science companies and med tech firms were using artificial intelligence technology in 2016. Big pharma names announcing deals and applications include Bayer, J&J, Merck, Sanofi, Genentech and Pfizer. Meanwhile, more than 50% of healthcare industry executives anticipate broad-scale adoption of the technology by 2025, a TechEmergence study recently revealed, with nearly half of the respondents noting that chronic conditions will be the initial target.


Artificial Intelligence (AI) in Healthcare Market to Grow at a CAGR of 49.8% to reach US$ 107,797.82 Million from 2020 to 2027

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Artificial intelligence in healthcare is the use of machine-learning algorithms and software to analyze, process and present complex medical and health care data. It has been widely used to support clinical decisions, improve workflows and predict health outcomes. Thus, wide application of AI in the healthcare sector is likely to propel the growth of the market. The growth of the artificial intelligence in healthcare market is attributed to the rising application of artificial intelligence in healthcare, growing investment in AI healthcare start-ups, and increasing cross-industry partnerships and collaborations. However, dearth of skilled AI workforce and imprecise regulatory guidelines for medical software is the major factor hindering the market growth.


Top 10 Ways Artificial Intelligence is Impacting Healthcare

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As the ability of artificial intelligence grows it is increasingly having an effect on many areas of our everyday lives. One area where is could have the biggest impact is artificial intelligence in healthcare. Smart technologies, machine learning programs and robotic devices are all contributing to the positive impact that artificial intelligence is having in the healthcare world. As technologies and our understanding of the possibilities provided by these technologies develops the impact of artificial intelligence in healthcare can only grow. What follows are 10 of the most important ways in which artificial intelligence is impacting positively on healthcare both now and in the future. For many years it has been possibly to obtain images of the insides of the human body through non-invasive means such as X-rays, CT scans and MRI scans. However many forms of diagnosis still require invasive action such as taking tissue samples or biopsies.


The use of Machine Learning in Healthcare

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The problems that occur in healthcare are often complex and challenging to describe. On the one hand, the dynamic development of medicine encourages the search for new models of diagnostic and therapeutic procedures. Still, on the other hand, ever-larger datasets make it difficult to explore and analyze. Hence, the healthcare industry is becoming more and more interested in machine learning. Machine learning is a rapidly growing field of research with a great future.


Artificial Intelligence In Healthcare -- Everything Artificial Intelligence + Robotics + IoT +

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Artificial intelligence (AI), Machine learning, NLP, Robotics, and Automation are increasingly prevalent in all aspects and are being applied to healthcare as well. These technologies have the potential to transform all aspects of health care from patient care to the development and production of new experimental drugs that can have a faster roll-out date than traditional methods. There are numerous research studies suggesting that AI can outperform humans at key healthcare tasks, such as diagnosing ailments. Here is a great example, AI'outperforms' doctors diagnosing breast cancer┬╣. Artificial intelligence is a collection of technologies that come together form artificial intelligence. Tech firms and startups are also working assiduously on the same issues.