Watching a Cancer Operation Via Google Cardboard
There is about to be a live screening of an operation on a cancer patient who is being treated at St Bartholomew’s, London. It is the first screening of its kind and the surgeon Dr.
There is about to be a live screening of an operation on a cancer patient who is being treated at St Bartholomew’s, London. It is the first screening of its kind and the surgeon Dr. Shafi Ahmed has not said where the screening will be shown, although initial thoughts are that it will be on YouTube. Speaking on a show for wearable technology in London, he said that he wants the public to be able to see the process. He added that it would appear to the viewer that they were also in the operating theatre.
Google Cardboard is one such headset that will allow 360-degree videos and Samsung and Facebook are planning to use the technology for educational purposes as well as working with the military. Ahmed is not the only medic involved with virtual reality health care, and he wishes to educate others as out of the 7 billion people worldwide, only 2 billion can receive surgery when it is needed. So far others have seen the surgery as patients have been allowed to view their operation after the event, and Chief Exec. of Apple John Sculley has picked up some basic skills.
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It is not yet known when the operation would take place, but for many decades in the past, surgery was viewed, but this was when the interested party was there in person. In the past, Dr. Ahmed has used Google Glass to show operations to student surgeons. Next, it will be touch, but for this, the technology needs to catch up.
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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