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GE taps Vanderbilt U as immunotherapy development partner
The two organizations intend to combine their data science, genomic, imaging and cellular analysis capabilities to help improve clinical decision-making.
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Study: AI technology can use facial photos to identify genetic diseases
According to researchers, the collection of increasingly large and well curated medical datasets has enabled AI tools to predict genetic mutations from imaging phenotypes, improving the way patients are treated.
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As AI spreads, researchers cite need for enhanced privacy protections
A new study finds current laws and regulations do not adequately safeguard individuals' confidential health information.
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5-year forecast: exponential growth for AI healthcare market
Among other things, say experts, AI-driven technologies can help with the delivery of targeted and personalized medicine while simultaneously ensuring seamless communication and high productivity within smart hospitals.
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How to get the most out of AI integration
In a recent survey, IT managers pointed to IT infrastructure, workforce development and organizational “reinvention” as key considerations when implementing new AI programs.
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AI to push health IT infrastructure changes in 2019
Seamless health IT infrastructure development will become increasingly important as the use of AI in healthcare accelerates and a flood of big data puts stress on legacy systems and strategies.
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AI enthusiasts still slow to adopt new technology
Among those making the jump to AI, the three most popular uses are to increase efficiencies or worker productivity, to inform future business decisions and to streamline processes.
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Researchers unlocking data to find clues for new treatment
A growing number of companies are using AI to extract, process and contextualize the vast amount of information that exists about patients – and present it to physicians in a timely and relevant way.
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Federal panel cites importance of data governance for effective AI insights
AI proponents point to the opportunities presented by federal stockpiles of health data, but data integrity and governance are key to ensuring useful and accurate outcomes.