artificial intelligence science technology conference diagnostic imaging screening breast lungs cheat data machine learning deep learning virtual reality augmented reality PACS digitization information clinical adoption integration rules and regulation

What is hindering diagnostic imaging adoption?

According to Dr. Lawrence Tanenbaum, vice-president and director of advanced imaging at Radnet, in one of the panel sessions of AIMed North America 2018, deep learning research is on the rise and most of the work are going into diagnostic imaging. Its application mainly varies between the screenings of breast, lungs and chest. In spite of…

artificial intelligence science technology conference aimed AIMed North America 2018 data machine learning deep learning panel speakers medical education reforms policy policymakers virtual reality augmented reality fragmented collaborations physicians patients data scientists

Medicine may be fragmented; but AI in medicine should not

At AIMed North America 2018, Dr. Christina Chen, nephrologist of Beth Israel Deaconess medical center, Harvard medical school expressed the privilege to work alongside with data scientists. Indeed, it has never been as challenging as to assemble experts with different agenda to work on the same project revolving around artificial intelligence (AI) in medicine. Just data,…

artificial intelligene medicine science technology conference AIMed North America 2018 aimed patient physician relation data machine learning deep learning virtual reality augmented reality panel discussions

The curious case of AIMed: Patients’ perspectives

Patients and their families who were invited to speak on stage during AIMed North America 2018 shared something in common. They have known Dr. Anthony Chang, chief intelligence and innovation officer of Children’s Hospital of Orange County (CHOC) and founder of AIMed for an extended period of time. Although their medical condition underlie the bond, it…