At the recently held 105th RSNA Scientific Assembly and Annual Meeting, International Business Machines Corporation IBM highlighted some of its clients and collaborations for its IBM Watson Health Imaging artificial intelligence (AI) platform. The IBM Watson Health unit is one of the leading platforms engaged in developing AI and data-driven technologies for augmenting healthcare services. The solutions are aimed to effectively respond to some of the most challenges scenarios in healthcare. About Watson Health Imaging's Collaborations At the RSNA event, the IBM Watson Health platform will be showcasing solutions across AI and Machine Learning, Enterprise Imaging, Vendor Neutral Archive, Image Viewing and Sharing as well as PACS. We note that on Oct 30, 2019, Clinical Review 3.0 was launched in the U.K. The solution identifies missed findings by analyzing medical imaging and related reports.

Artificial intelligence already impacts many aspects of our daily lives at work, at home, and as we move about. Over the next decade, analyst firm Tractica predicts that annual Global AI enterprise software revenue will grow from $644 million in 2016 to nearly $39 billion by 2025, and services related revenue should reach almost $150 billion. These functional areas are applicable to many use cases, industries, and generate benefits for both businesses and individuals. Here are the top ten use cases which will reap financial rewards for AI technology product and service companies, and a broad spectrum of benefits for everyone else. Self driving cars and other autonomous vehicles are consistently called the "next revolution" in transportation, technology, and some say in civilization in general.

Artificial intelligence already impacts many aspects of our daily lives at work, at home, and as we move about. Over the next decade, analyst firm Tractica predicts that annual Global AI enterprise software revenue will grow from $644 million in 2016 to nearly $39 billion by 2025, and services related revenue should reach almost $150 billion. These functional areas are applicable to many use cases, industries, and generate benefits for both businesses and individuals. Here are the top ten use cases which will reap financial rewards for AI technology product and service companies, and a broad spectrum of benefits for everyone else. Self driving cars and other autonomous vehicles are consistently called the "next revolution" in transportation, technology, and some say in civilization in general.

The goal is for the technology to quickly scan medical images and prioritize abnormal results, allowing doctors to spend their time on the more difficult cases. The machines would also provide a check on human error. Companies are jumping on board. IBM Watson Health, which acquired enterprise imaging software company Merge Healthcare in 2015, plans to put its Watson supercomputer to work analyzing medical images. One of its projects, presented at the Radiological Society of North America's annual conference, focuses on research around aortic stenosis, a heart condition that occurs when the aortic valve narrows.

CHICAGO - The radiology world has been abuzz with discussions of machine learning and what artificial intelligence may mean for the future of the field. The goal is for the technology to quickly scan medical images and prioritize abnormal results, allowing doctors to spend their time on the more difficult cases. The machines would also provide a check on human error. Companies are jumping on board. IBM Watson Health, which acquired enterprise imaging software company Merge Healthcare in 2015, plans to put its Watson supercomputer to work analyzing medical images. One of its projects, presented at the Radiological Society of North America's annual conference, focuses on research around aortic stenosis, a heart condition that occurs when the aortic valve narrows.

The radiology world has been abuzz with discussions of machine learning and what artificial intelligence may mean for the future of the field. The goal is for the technology to quickly scan medical images and prioritize abnormal results, allowing doctors to spend their time on the more difficult cases. The machines would also provide a check on human error. Companies are jumping on board. IBM Watson Health, which acquired enterprise imaging software company Merge Healthcare in 2015, plans to put its Watson supercomputer to work analyzing medical images.

The radiology world has been abuzz with discussions of machine learning and what artificial intelligence may mean for the future of the field. The goal is for the technology to quickly scan medical images and prioritize abnormal results, allowing doctors to spend their time on the more difficult cases. The machines would also provide a check on human error. Companies are jumping on board. IBM Watson Health, which acquired enterprise imaging software company Merge Healthcare in 2015, plans to put its Watson supercomputer to work analyzing medical images.