SAMSUNG SDS
the-art technology and human expertise . The AI team sources projects inside and outside of Samsung Group , maintaining their own computing infrastructure and covering a global footprint .
The human benefits of automating the imaging process A big focus for Samsung SDS has been the healthcare sector , where AI has been automating imaging processes in areas such as radiology . As Bangert states in no uncertain terms : “ The medical system worldwide is overloaded . There are not enough doctors around to fulfill the demand and they are heavily impacted by workflows , bureaucracies , and billing processes . The amount of time that any physician can spend with the real human patient is really a minority of their time . A doctor ’ s opinion might be wrong about 30 % of the time , and so complex diseases – diagnosed from complex medical images – are often either missed or misdiagnosed . Getting a second opinion is already a billion-dollar market today .”
Second opinions typically come from other humans . Artificial Intelligence provides an objective third party and very neutral second or third opinion to any diagnostic procedure . Using AI removes the variability of any one physician having a certain amount of experience , because the AI model can process vastly more cases and doesn ’ t forget things .
“ The medical system worldwide is overloaded . There are not enough doctors around to fulfill the demand ”
PATRICK BANGERT VP OF AI , SAMSUNG SDS
Ricky Datta , the director of AI engineering at Samsung SDS , observes ; “ AI models typically achieve an accuracy in the high 90 % range , sometimes up to 99.9 % accuracy in certain cases , depending on how much data is available and how good quality that data is . By automating these processes , we simply make everything faster . The benefit of this would significantly lower the costs from both the providers and the patient ’ s care costs , while increasing accuracy of diagnosis and speeding up the overall time from the initial pain point to the start of the treatment cycle .”
32 December 2021