• 2 days ago
Sebuah inovasi yang di bangunkan untuk kesan penyakit yang lain juga menggunakan image yang diambil dalam mata berdasarkan kesan penyakit.

Kalau korang suka produk ni, jangan lupa untuk mengundi Innovathon people choice awards di www.gempak.com/innovathon ok?

🚀INNOVATHON MUSIM 2
Merealisasikan Impian Inovasi Anda

INNOVATHON kembali dengan musim kedua, sebuah inisiatif menarik bersama Kementerian Ekonomi dan Kementerian Sains, Teknologi & Inovasi (MOSTI) dengan kerjasama Astro.

Saksikan pertandingan hebat dalam INNOVATHON Musim 2 yang akan disiarkan mulai 30 November 2024. Para inovator tempatan dari pelbagai latar belakang akan tampil dengan idea-idea kreatif dan berinovasi, bersaing merebut hadiah utama. Setiap episod menampilkan cabaran-cabaran sengit yang menguji daya kreativiti dan ketekunan peserta, sambil memberi peluang untuk merealisasikan impian mereka.

Jangan lepaskan peluang untuk melihat bagaimana idea-idea luar biasa ini berkembang dan bersaing di layar kaca! Saksikan #INNOVATHON Musim 2 di saluran berikut.

🔭ASTRO RIA, SHOWCASE & VANAAVIL
Setiap Sabtu, 9 PM

🔭ASTRO AEC (Siaran Ulangan)
Setiap Ahad, 6 PM

🔭RTM (Siaran Ulangan)
Setiap Ahad, 9 PM

#Innovathon2 #MotivasiInspirasi #AstroMalaysia #AstroBaharu #AstroGo #sookaMalaysia

Category

📺
TV
Transcript
00:00My name is Kuryati Kipli, I am a lecturer at the Department of Electrical and Electronic Engineering at the Faculty of Electrical Engineering at the University of Malaysia, Sarawak.
00:16From the discussion of Prof. Lim, an eye surgeon, he shared the challenges and problems he faced when performing eye examinations, especially when performing eye examinations in urban and rural areas.
00:32They face the problem of bringing large equipment with insufficient road infrastructure and sometimes they have to ride a boat.
00:42This is how this IDR innovation came about, which includes artificial intelligence technology or artificial intelligence that we integrate into mobile applications.
00:54What is the strategy to spread the IDR function on the web?
01:01We will bring a live demo of how to use IDR so that all viewers can see for themselves the advantages of our products.
01:11IDR is a technology for eye examinations for diabetic retinopathy patients.
01:20To make it more interesting, we will bring a live demo today so that you can see for yourselves how our products are used.
01:28For example, IDR is lighter, smaller, easy to carry, easy to move, so it can be brought anywhere, especially if we want to bring it to an urban or rural area.
01:45How about traditional machines that we usually see?
01:48You can see for yourselves how big it is and how heavy it is.
01:55Of course, it is difficult to bring it to an urban or rural area.
01:59IDR is built with artificial intelligence technology.
02:06I believe all of you have heard about artificial intelligence, AI, right?
02:11We also combine it with 3D technology printing using biodegradable material.
02:19With this AI model, decisions can be made in a short period of time without the need for an expert.
02:27Look at this side, where the expert is struggling to give a result.
02:35And of course, the decision will take a long time.
02:39I am sure that for IDR now, have we got the result?
02:44Yes, we have.
02:45I can show it to you now.
02:47The decision has been made.
02:49There are 3 main components, which are adapters, smartphones, and portable optomoscopes.
02:57Try to combine all of these.
02:59After that, you just need to take a picture of your eyes, upload it to the internet, and wait.
03:06The decision will be made in a short period of time.
03:09IDR is not just a product.
03:12But it is an innovation that we are trying to build to change the medical landscape in Malaysia.
03:21Prof, you only specialize in diabetic retinopathy.
03:25Can this product also be used for other diseases?
03:31It can be built to detect other diseases involving the retina, such as AMD.
03:38But for now, because we want to do proof of concept, we focus on diabetic retinopathy.
03:44All of this depends on the sample population for the AI model, right?
03:52So, how many thresholds are needed in the sample population?
04:01100,000 images per grade.
04:05So, the total dataset is 500,000.
04:10But we don't need that many patients.
04:14Because we can generate images, or we can augment the images.
04:19How much would you sell it for?
04:21This product? It will not be more than 10,000.
04:25And you know that product? It costs us more than 50,000.
04:29This is for the health clinic there.
04:33Because otherwise, that bulky machine is only in town center.
04:38And they don't need any specialist to be there.
04:42I think they don't even need government fund.
04:44I think definitely they will be private or other.
04:48They will be interested.

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