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Information Technology's Impact on Tomorrow's Health

A follow-up overview of HIMSS24, taking a close look at how the industry’s key players are guiding its growth and direction to shape the future of informatics ....

United States , Helia Mohammadi , Parminder Bhatia , Las Vegas , William Lacy , Jim Salamon , Hal Wolf , Peter Shen , Ashutosh Banerjee , Kevin Chlopecki , Mark Lloyd , Shez Partovi , Siemens Healthineers , Stratodesk Nontouch , Tim Dawson , National Institute Of Standards , Health More , Precision Health , Orange County Convention Center , Drug Administration , Defense Health Agency , Amazon Web Services , Management Systems Society , Fujifilm Healthcare Americas Corporation , Global Health Conference , Remote Scanning Technology ,

Research Validates Deep Learning Models for Drowning Diagnosis

Research Validates Deep Learning Models for Drowning Diagnosis
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Japan General , Noriyasu Homma , Kei Ichiji , Jiaoyang Wang , Ivo Bukovsky , Yuwen Zeng , Akihito Usui , Xiaoyong Zhang , Masato Funayama , Shuoyan Chou , Tohoku University , Department Of Radiological Imaging , Tohoku University Graduate School Of Medicine , Tohoku University Graduate School , Imaging Informatics , Radiological Imaging , Human Observation , Deep Learning Models , Assessing Validity , Postmortem Computed Tomography Diagnosis ,

Team Studies Medical Validity of Deep Learning Models in Diagnosing Drowning

Team Studies Medical Validity of Deep Learning Models in Diagnosing Drowning
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Japan General , Yuwen Zeng , Tohoku University Graduate School Of Medicine , Tohoku University , Department Of Radiological Imaging , Tohoku University Graduate School , Imaging Informatics , Radiological Imaging ,

Team studies medical validity of deep learning models in diagnosing drowning

Team studies medical validity of deep learning models in diagnosing drowning
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Japan General , Yuwen Zeng , Tohoku University , Department Of Radiological Imaging , Tohoku University Graduate School Of Medicine , Tohoku University Graduate School , Imaging Informatics , Radiological Imaging , Human Observation , Deep Learning Models , Assessing Validity , Postmortem Computed Tomography Diagnosis ,

National Imaging Informatics Course Returns

NIIC is made possible through a partnership between the Radiological Society of North America (RSNA), the Digital Pathology Association (DPA) and the Society for Imaging Informatics in Medicine (SIIM) ....

United States , Nabilem Safdar , Katherine Andriole , Tessas Cook , Radiological Society Of North America , National Imaging Informatics Course , Society For Imaging Informatics In Medicine , Digital Pathology Association , Radiological Society , North America , Imaging Informatics ,