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9 Benefits of Using AI in Medical Billing and Coding - MailMyStatements

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Medical billing and coding have been undergoing many changes in recent years as the healthcare industry increases in complexity while the variety of treatments and procedures grow by the minute. The healthcare industry is in urgent need of a scalable solution that can process the vast amount of patient data without compromising speed and accuracy of the billing procedure. The use of artificial intelligence in the medical billing and coding industry can help healthcare organizations facilitate their billing procedures while minimizing costly errors. AI-driven technologies, such as machine learning and natural language processing (NLP), have the ability to interpret and organize a large amount of data quickly and accurately. For instance, an AI program can arrange data from different records into a logical timeline to make sense of disparate events, diagnoses, and procedures, minimizing coding and reporting errors.


10 Exciting Webinars & Workshops In Machine Learning

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However, one of the ways professionals are keeping up their relevance in their organisations as well as in the industry is by upskilling and learning the latest tools and technologies of this evolving field. Webinars and workshops have always been an excellent way for professionals and enthusiasts to keep themselves updated with the latest trends and technologies. For attendees, these webinars and workshops are not only an easy way to know and train themselves on the latest tools and technologies but also allows them to hear from the best minds of the industry on relevant topics. In fact, for a few years now, large tech companies have been conducting free webinars and workshops, which will not only boosts the community and users at large but also acts as a great marketing tool for advertising their solutions and services. With machine learning being explored in various industries, including healthcare, eCommerce, finance and retail, the possibilities are endless.


AI is reshaping the way we buy, sell and value homes

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The housing market continues to defy gravity. Sales of existing homes rose more than 10% last month compared to a year ago, hitting their highest level since December 2006, according to the National Association of Realtors. And now, more than ever, people are relying on online platforms to search for -- and even buy -- houses. And that opens the door for artificial intelligence to play a bigger role, like using computer vision to create real estate listings based on photos. I spoke with Christopher Geczy, a professor at the Wharton School of the University of Pennsylvania who teaches about real estate and insurance technology.


SIMBig Conference 2020

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Dr. Dina Demner-Fushman is a Staff Scientist at the Lister Hill National Center for Biomedical Communications, NLM. Demner-Fushman is a lead investigator in several NLM projects in the areas of Information Extraction for Clinical Decision Support, EMR Database Research and Development, and Image and Text Indexing for Clinical Decision Support and Education. The outgrowths of these projects are the evidence-based decision support system in use at the NIH Clinical Center since 2009, an image retrieval engine, Open-i, launched in 2012, and an automatic question answering service. Dr. Demner-Fushman earned her doctor of medicine degree from Kazan State Medical Institute in 1980, and clinical research Doctorate (PhD) in Medical Science degree from Moscow Medical and Stomatological Institute in 1989. She earned her MS and PhD in Computer Science from the University of Maryland, College Park in 2003 and 2006, respectively.


Machine Learning Interview Questions

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Machine Learning Interview Questions A Machine Learning interview calls for a rigorous interview process where the candidates are judged on various aspects such as technical and programming skills, knowledge of methods and clarity of basic concepts. If you aspire to apply for machine learning jobs, it is crucial to know what kind of interview questions generally recruiters and hiring managers may ask. Description Is this course for me? By taking this course, you will gain the tools you need to continue improving yourself in the field of app development. You will be able to apply what you learned to further experience in making your own apps able to perform more.


It's Not About AI – It's About the Data - Digitally Cognizant

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For most of us, 2020 has ushered in unwelcome chaos and uncertainty. Who would have guessed in early March that within days, personal decisions that were once mundane – like where, when and how to get groceries – would spur paralyzing anxiety. What was missing – and still is – is information and, in particular, data that's helpful. Should I send my kid to school? Is it safe to attend that outdoor wedding?


AI is already building a more resilient post-pandemic world - Watson Blog

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For some organizations, AI tools may have been perceived as "nice-to-have" technologies prior to 2020. In a 2019 IBM/Morning Consult survey of businesses, 22% of respondents worldwide reported they are not currently using or exploring the use of AI. But in a future characterized by uncertainty, only organizations that embrace the most advanced AI tools will be able to weather future storms. The COVID-19 pandemic remains an immediate threat, but all kinds of organizations are looking ahead to build resilient systems that can better withstand future pandemics, as well as natural disasters, cyberthreats, and other destabilizing scenarios. The current crisis is an opportunity to examine the performance of the technological systems that we use to manage the various aspects of human existence.


Council Post: The Technology Pillars Of Digital Singularity And Opportunities Created For Humanity

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We have an opportunity to lead revolutionary change -- to disrupt business models, solve global and economic challenges and fundamentally transform human experiences. It enables us to extend not only ourselves and our abilities, but also our connection with the world. Consider the current global Covid-19 pandemic and the way the world shifted online in an instant. Despite the closure of physical borders, we have become more open. Technology has created a boundaryless global community, allowing us to instantly connect and communicate, irrespective of geography.


Teaching Neural Networks to be Humans

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The Fourth Industrial Revolution (Industry 4.0) has become a framework related challenge for scientific researchers. Industry 4.0 is principally portrayed by evolution and convergence of nano-, bio-, information and cognitive technologies to upgrade great transformations in economic, social, cultural and humanitarian spheres. Experts managing advancement and introduction of the sixth technological paradigm technologies decide by and large whether our nation can ride the influx of Industry 4.0 developments. For as long as 25 years, the creators have been building up the concept of systematic computer simulation training at schools and educators' training colleges. The idea thoughts have been summed up and introduced in the course reading.