00:00is food pollution
00:20I know
00:30the food pollution in the third part is preservatives which is called breads and
00:37chutneys and sausage which we are doing for longevity. We say in hotels or in the markets
00:43we are doing preservatives in the market which we are doing to preserve the longevity of
00:48the last three factors like pesticides or preservatives which we are doing from industrial waste
00:56we are producing it, so he is taking the same form of cancer.
01:01At the time of the time, colon cancer, eye cancer, stomach cancer and GI cancer
01:06we get to see more of the GI cancer.
01:09So we are saying that we are using organic farming
01:12which we say that we use of pesticides as much as we can.
01:16Today, artificial intelligence, which is called AI in short form,
01:20is growing a very important role.
01:24We will talk about that in today's session.
01:28The main role of it is in the knowledge of the disease,
01:32which we call diagnostic.
01:34Sometimes the disease is very small,
01:36and the small disease is going to be better.
01:39The small disease have not been used to be able to get the normal diagnostic tools.
01:44For that, we can quickly know about the disease.
01:49In this case, colonoscopies and other diseases,
01:53CT scan, MRI, PET scan,
01:55in this case, AI is also doing important role in the disease.
01:59In this case, we will talk about the disease.
02:01Then we will talk about how to help in radiation,
02:03or how to help in radiation,
02:04how to help in radiation.
02:05The AI is such a help,
02:07that the radiation therapy treatment is all computerized.
02:11In this case, it is all computerized.
02:13In this case, the manual marking,
02:15which was previously done,
02:16is now finished.
02:17So, computerized treatment,
02:19we need to create two things in the computer.
02:23One, we need to create a normal organ,
02:25which we call OAR,
02:27which we call Organate Risk.
02:28And the other thing,
02:29we call OAR,
02:30where we have to give radiation to the disease,
02:33which we call clinical target volume,
02:35CTV and planning target volume,
02:37PTV.
02:38So, two parts are here.
02:39OAR and target volumes.
02:41So, AI is our target volume,
02:44which is our target volume,
02:45which is the right way to make it.
02:48So, we have to use the normal organ,
02:51which we have to save maximum,
02:53and use the patient to reduce the disease.
02:56And the patient to reduce the disease,
02:58which is the better result,
03:01and the better result,
03:02and the better result,
03:03that will help us from the link.
03:05So, AI will help us from the link.
03:06And the other thing,
03:07we're going to go to the description box
03:08and we're going to go to questions.
03:09Let us know that.
03:10On our website,
03:11we will help us to help us from certain conditions,
03:13and we will help us from other samples.
03:16In our website,
03:17we will help us from the site to our patients.
03:20And so,
03:21we are going to find out
03:23which is our data analysis
03:25is really helpful for us.
03:26In our website,
03:27we are going to be okay to link
03:28the website.
03:29The site to us,
03:30the site will help us from
03:31our site.
03:32we have a lot of individual variation. AI has a lot of morphological analysis
03:38which allows us to help with telepathology.
03:46This is a digital pathology kind of thing, which can be easily diagnosed with tough slides.
03:51We can help with AI.
04:05If we integrate AI and machine learning,
04:08which are new genetic risk factors,
04:11which are data analysis,
04:14we can help with AI personalized care.
04:18AI can help us to help us.
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