Cases applied AI in healthcare

Here’s one of the companies, Taiwanese company that is providing a one-hour genetic blood test so we can integrate with that AI, using big data and so we can perform machine learning on these genetic tests we can integrate as part of a IOMT or a HIOT internet of medical things, platform where we can integrate many different devices or a healthcare IOT platform and then have access to visualize that data using either AR or VR not only used for patient and physician education but also used real time. So we’re using that in in surgeries, using AI, we can upload MRI, scans, CT scans where surgeons in the operating room can have neurosurgeons.

For instance, can have a projected digital overlay on the patient’s head while they’re doing the the surgery so they’re not looking back and forth at the MRI scan. So this is going to provide a much higher quality of surgeries and healthcare. So, we’re able to provide, you know everything from the bio sensor to the micro processors to perform these types of diagnostic tests and that’s just one example. We’re integrating the the artificial intelligence into that as well. In all parts of the hospital, in all parts of the clinic for health.

This could be nurses, this could be respiratory therapists or even service technicians that are performing maintenance repair operations, MRO on an MRI machine could be for prescriptions so we have the AR glasses, you integrated with AI to look at the pharmaceuticals, to look at the prescription drugs, to make sure that they are prescribing the right drug to the right patient.

Or maybe the nurses wearing the AR glasses around the hospital and they need to perform some certain tasks while they’re in the patient’s room or other places those SOP, standard operating procedure and other manuals can be uploaded and the AI can essentially read those whether we’re using a through third party such as IBM Watson knowledge studio or whether that’s being developed places here like Taipei Medical University and those manuals are then matched up with the the digital twin. So I’ll give you an example nurse or service technician or doctor may be wearing the AR glasses.

They’re able to to look at something either a patientㄝ could be a patient, with sensors, could be a patient using facial recognition and other things. Even seeing their heartbeat, seeing their temperature, seeing their health records; could be a service technician, looking at a machine and what it will do is the AR glasses have a camera on that on those glasses so it’s able to recognize an image whether it’s a person or machine or something else in the hospital and then it’s able to go out using AI and match up that digital twin that shows me hey here’s what I need to do, here’s the steps 1 2 3 4.

Here’s how I do it and here’s how I, you know, complete this task.

As I mentioned this is a this is really an End to End solution that the digital twin can be created using image recognition using AI and it can be on your mobile phone or it can be on an iPad or can be in a totally immersive environment but AI is allowing you to to check your your skin for say skin cancer. So you can take a picture with you know this AI application and it will say it will suggest to you hey this is a potential skin melanoma, you know you may need to have this checked out or it can connect you with a doctor 24 hours a day 7 days a week.

And you can have a consultation with that physician and then decide whether or not you know you need to make a visit to the smart clinic or the smart lab. And also the your IOT Internet of Things, wearable devices can be integrated into this platform, so you can see, you know how you compare to others and the AI can say hey this is you know this is right or this is not right; this is normal or this is not normal. We’re also using virtual reality. So, patients can receive coaching.

So a big part of what physicians do is making sure that patients are compliant with taking their drugs maybe rehabilitation with other types of coaching and patient learning both for patients, learning and for physician learning, so virtual reality has been essential in this area and we’re working with many medical schools and in hospitals and in medical clinics throughout the world.

Everything now is about ecosystems you hear this a lot. It’s about End to End solutions. That goes from assessment planning to coaching prediction. We want to not only you know have the knowledge, we want to be able to predict what might happen in the future. So using predictive AI for treatment and really we want to focus on prevention before the treatment. Now a lot of the focus has been on treating the disease and we really want to focus on the patient, the human centered precision health care, and prevent, you know, something from happening, promote wellness before it happens. AI is being used, now we’re digitizing Eastern medicine. Someone may be taking you know Western pharmaceuticals, drugs.

and they may also be taking Eastern medicine or different foods so there may be an AI application that can… you can look at the food that you’re eating and it will tell you hey there’s an interaction with this fruit and the the drug that you’re taking or there’s an interaction with the different type of maybe using traditional here in here in Asia. A lot of people use traditional medicine so there may be some type of interaction. The AI will be able to tell you, hey you know, you are taking you know is there going to be a serious drug interaction or you know you’re taking the right drug, you are taking the right amount.

So AI can be applied to all these areas. Now not into in the not-too-distant future and we’re going to see body scans. We’re already have it working with some companies to develop body scans, as I mentioned earlier that can detect your, not only your heart rate, can detect you know by scanning your eyes, there are certain diseases such as Parkinson’s and other diseases. That can be detected very very quickly using AI by scanning your eyes; by scanning your your body, you can scan for other types of diseases and the AI will tell you have this just from a from a scan, so I think we’ll see more and more of this.

There’s some of these scans not quite so advanced yet but in the Dubai mall, Dubai airport and places like that. But I think we’re going tosee more and more that where you go to a mall or if you’re in the airport, you can get a full-body scan and you can have a, you know, a virtual physician visit while you’re there. We’re also using AI for gene editing such as CRISPR, knockout and knockdown genes.

So you’re able to use AI to see, you know, what is the you know probability or you know that I’m going to have this, you know, this disease and then you can work together with a with a genetics counselor to say hey do it you know do I need to change my lifestyle or is there some type of gene editing available that that may solve you know the the problem. Now in the future just to end with our kind of our journey towards what some call life 2.0.

We’re now integrating AI and we’re seeing that with mobile phones with iPads with VR as I mentioned with AR glasses and other types of emerging technology, but very soon we’re going to see seamless AI integration with patients. We’re already seeing a lot of wearables IOT Internet of Things implants things of this nature and contact lenses so we’ve we’ve already got now being developed you know contacts lenses that will have a predictive AI function to them and I think you know within the next you know 10 years, we’re going to see that.

Perhaps within the next 20 years, we will have what’s called neural neural lacing so this implants a lot of people think you know this is really futuristic, maybe it will never happen. When they think of, you know something like cochlear implants for the hearing-impaired we’ve had those for decades. That’s something like a neuro lace and we’re going to see more and more of that and that’s going to be a seamless integration. So it’s going to be an exciting time with our journey towards life 2.0. So I appreciate your attention today and I look forward to hearing any feedback comments or questions you may have. Thank you very much.