Another genius aims to create a considerable breakthrough in the field of medicine to help people especially those who are suffering cancer and those who will in the future.
Scotty Kwok Chun-ho, who is an award-winning programmer, hopes to use his God-given gifts, intelligence, and talents combined with the use of advance AI-powered computer to improve how Hong Kong specialists diagnose cancer, as reported by South China Morning Post.
The desire to help the needy and weak through his skills wasn't just created over night. As a matter of fact, this passion was rooted out of his experience-when one of his loved ones died because of it.
The computer genius reveals, his relative used to have an internal problem in her lower abdomen, which required her to undergo a CAT scan and surgery. The CAT scan result revealed that she has an unknown 1cm nodule in her lung and her doctor advise her for a follow-up check-up.
Unfortunately, Kwok further shared, after the successful surgery, no one has remembered about the nodule anymore even the doctor himself. Several years later, the nodule turned out to be a tumor, and the doctors found out that her lung cancer was already in its late stage.
The IT genius shared their family's biggest regret is if only her cancer was diagnosed at an early stage, she could have still been alive now.
He said, "My biggest strength is in writing computer programmes. This tragedy prompted me to think how IT can be applied in cancer research and diagnosis. If the use of AI for [locating and] identifying a nodule and predicting its future progression can be made more popular, maybe cancer can be detected at an early stage, helping patients get prompt diagnosis and treatment."
The scientist started his journey in the field of medicine just last year. It was just then when he decided to join in competitions that market his skills that use artificial intelligence in solving health problems like cancer.
One of the most prestigious awards Kwok received was when he was hailed as the champion at the International Conference on Image Analysis and Recognition (ICIAR) in Portugal amid other 50 teams.
Without any background regarding medical terms and information, Kwok said he often faced a lot of problems at first, which he dealt with patience and perseverance. This situation made him decide to study basic information regarding medicine once again.
He further shared, "The medical input was limited so I mostly used my expertise in computer imaging analysis for the competitions."
