00:0095% of lung cancer cases in Malaysia are affected in a rather late stage.
00:14We are actually a project that has been set up specifically to help solve the problem of lung cancer
00:23in an early stage.
00:26With the AI system that we have built, with more than 900,000 x-ray images with labels,
00:33we have trained it, we have taught it.
00:35And now, if someone gives us an empty x-ray image,
00:41we put it in the system and the AI scanner can detect it.
00:46The result of its study can be detected, whether there is a problem or not.
00:50So, it can be used as one of the initial samples.
00:53And with this process, we can see if the patient or those at high risk
00:59can be given priority or priority for the next injection.
01:06I want to tell everyone to stop smoking.
01:12My father died because of smoking.
01:17My brother and I died because of smoking.
01:20Please, I feel sorry for my brothers and sisters.
01:24I feel sorry for my mother.
01:28Please stop smoking.
01:30Life is like a candle that lights up in the wind.
01:35Sometimes it flickers to the right and to the left.
01:38Sometimes it flickers.
01:40Sometimes it lights up brightly.
01:42But when the wind of illness blows hard,
01:46it can be extinguished without warning.
01:51Let's all close our eyes and breathe in and out.
02:01Breathe in and out.
02:05It is very peaceful and calm because this is the sound of a normal person's breathing.
02:10But try to listen to this breathing sound.
02:15It hurts. It torments. It torments.
02:19Because this is the breathing of a cancer patient.
02:23If we look at the X-ray images in front of us,
02:26the first, the second, and the third,
02:29can you see which one has a new cancer problem?
02:32Only radiologists who have 10 years of experience
02:37can make a diagnosis.
02:39And unfortunately, these experts are only in big hospitals.
02:43They want to get a diagnosis,
02:45but they don't know how many weeks or months until they get it.
02:47Alternatively, we can go to a private hospital
02:49and do a low-dose CT scan with a machine like this.
02:53But the cost may be thousands of ringgit.
02:55And today, we will introduce a local innovation,
03:01Scanser AI, a new cancer detection system
03:05that is powered by AI technology.
03:08We have trained our AI model with more than 900,000 X-ray images.
03:15And now, if we insert an X-ray,
03:17Scanser AI can detect problems in the lungs,
03:21including the risk of lung cancer,
03:24in just 3 seconds.
03:26Dr. Saiful, please show the demo of Scanser AI.
03:28Okay, we enter the information or X-ray image,
03:33and we press the button.
03:34In 3 seconds, 1, 2, 3,
03:37we will be shown the risk of lung-related diseases.
03:41And if we press the heat map here,
03:44it will show the location of the disease.
03:48Here, we can see there is a nodule mark.
03:51And from the information here,
03:53we will send it straight away and refer the patient
03:56to a nearby hospital for further action.
04:01To commercialize,
04:04to release other MDAs,
04:07how many more X-rays,
04:08what is the bare minimum threshold
04:13of the number of X-ray scans and accuracy that you must achieve?
04:17We have already referred to MDAs.
04:20Actually, to be commercialized,
04:22we need at least 80%.
04:25So actually, for the X-ray image,
04:27it has a minimum.
04:29Actually, how many images doesn't matter,
04:31but what's important is that the more images,
04:33the more accurate the accuracy.
04:37But he already got 900,000,
04:40so the algorithm cancels, right?
04:44So actually, they are ready.
04:46All he needs is a better software developer
04:49to make the UI, UX better, right?
04:52But the problem is,
04:53he researches, we make research.
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