AI is revolutionizing healthcare by improving diagnosis and treatment accuracy. It's incredible how it can analyze medical images and data to identify potential issues.
Here are seven more examples of how AI is transforming healthcare: 1. Virtual nursing assistants: AI-powered chatbots and voice assistants are being used to help patients manage their health, track medications, and stay connected with their healthcare providers. 2. Medical imaging analysis: AI algorithms can help radiologists and other medical professionals analyze medical images such as X-rays, MRIs, and CT scans more accurately and quickly. 3. Predictive analytics: AI-powered algorithms can analyze large amounts of patient data to identify patterns and predict disease risks, enabling healthcare providers to intervene earlier and prevent more serious health problems. 4. Robotic surgery: AI-powered robots are being used to assist surgeons in complex procedures, enabling greater precision and reducing the risk of complications. 5. Personalized medicine: AI algorithms can analyze a patient's genetic data and other health information to develop personalized treatment plans that are tailored to their individual needs. 6. Chronic disease management: AI-powered tools can help patients with chronic conditions such as diabetes, asthma, and heart disease monitor their symptoms, track their medications, and receive personalized support and guidance. 7. Mental health support: AI-powered chatbots and virtual assistants are being used to provide mental health support and therapy to patients, helping to fill the gap in mental health services and reach more people who need help.
I am the Founder and leader of a Startup company in Healthcare A.I specifically Drug discovery A.I does it mean with that approximate $3 Billion dollar valuation it's not possible for my team? Please reply me
One system I know they are looking into for the UK is replacing the telephone 111 triage system with an AI system. These I feel will be the quickest implemented and most beneficial systems used. It will be so useful as one big issue within the NHS is patients not being clear whether they need to go to their GP, urgent treatment centre or straight to A&E
Excellent rundown of AI examples in healthcare! Given your expertise in AI, you might find ZeroBot AI, the first verbal chatbot, of interest. It could be a unique addition to your exploration of AI in various fields. Looking forward to possibly seeing it in a future video!
Can it apply in nursing care to prevent medication errors...if so how it can be??whats the way to apply that concept in cost effective way in a hospital??
Stroke save several hours? When a doctor suspects a stroke they are rushed to CT and the second I put on line (the tech) I also call the radiologist whom picks it up right away and tells the doctor the results. I would say this usually takes less than ten minutes. Even if a routine outpatient has a stroke the tech will call the radiologist if it is noticed and we tend to be pretty good about that. I guess it might save hours only if it was a routine scan and the tech missed it. But generally that seems like it is rare.
As you said it takes 12 years to make an experimental drug from start to finish , but Moderna and Pfizer which were experimental and others did not do that. So definitely going to need the Viz Lvo and the Alive cors kardia asap
Medical classes can also use image generator to show detailed images for demonstration and such. Like a prompt on Bluewillow for example. e.g. human heart enlargement
tjhis videon emphasizes that AI is changing the way healthcare professionals and patients approach medical solutions. While there are still challenges to overcome in terms of implementation and regulations, the author believes that AI represents a paradigm shift in healthcare that is just beginning. The examples provided demonstrate how AI can enhance diagnostics, improve patient outcomes, and expedite the development of new treatments. Overall, the comment highlights the profound impact of AI in revolutionizing the healthcare landscape.
couldnt you make a programme that could directly connect to the brain through bluetooth, do scans, detect viruses and kill them all with the power of programming and wattage
I think the medical field can start researches on AI image generators like Bluewillow to be able to train a neural network/AI into proper diagnosis based on imaging.
Greetings, doctor. I´m Oscar Bush, internal medicine physician from Mexico. I´m interested on learning more about this topics on intention to develop predictive medicine software. Can you give me some suggestions to begin learning about all of this? Thank you
@@Medicalfuturist indeed. That video starts from referring back to their previously published study on OCT, and then building on this knowledge with the MMG use case. Hence, the relevant fragments for your video start from 2:12 ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-8GVHuGCH2eM.html
1) We published this paper for that purpose: www.nature.com/articles/s41746-020-00333-z 2) And we also plan to launch a course for learning the basics of AI in medicine next month!
all AI have hallucinations (errors with confidence. my concern is healthcare providers will become dependent on the technology and forget that these systems do not output 100% accurate information.
The future is here!! Can see researchers trying out open source technologies out there. I'm seeing Bluewillow a lot lately. So here's to hoping there's a huge lead in medical technology!
What’s the liability with the skin lesions app 🤔🤔 on Earth 🌍 the ‘ User ‘ should be a medical professional 👍🏿👀👨🏿⚕️. Are these new technologies covered by HIPPA😮😮🤔🤔👨🏿⚕️
This paper covers it onlinelibrary.wiley.com/doi/full/10.1111/ijd.15132?casa_token=O7d-aseVPLAAAAAA%3AcxITynM5WvmUsFJP5UEQdeykGY7qHvhqcrJns0O9kYgfn4msmfhY_6wl5IgwANUBt3_UBMzHyyOIVQ
@@Medicalfuturist thank you !! for the reference. There continues to be a high turnover of apps, and many apps still appear to lack clinician input and/or evidence for their safety and value. I worry that Tattoo artists , people in the cosmetics industry ie. Beauty Salons, etc. will see this as an opportunity to expand their business 👨🏿💻👨🏿💻😱. But looking forward to added consumer protection. 🧑🏿💻👨🏿⚕️👨🏿⚕️😀
Hello doktorur! Amikor az Insilico Medicinere kerestem, akkor jött föl a Te videod is, es nagyon jo! AI alapu healtcare reszvenyekbe szeretnek befektetni hosszutavra. Az itt emlitett technologiak izgalmasak. De melyik cégek csinalják/fejlesztik ezt? Le tudnad irni a cégeket légyszives? Akkor meg tudnam keresni hogy be vannak-e jegyezve a tözsden, vagy privat cégek. Udv, Balazs
Very inspiring. Two main points with respect to implementation: 1- regulation and 2- technical architecture. With respect to the latter, we’re working on a low cost, quickly implemented prototype architecture, leveraging virtually free Microsoft office products (Excel and MS Access) along with Azure AI Services to build a medical service AI environment where anyone can take their local data and use the power of AI to discover correlations and causations.
The first 6 of these 7 examples are basically early detection of specific conditions and aren't all that new (some started in 2016). Yes, these can be helpful, but they are all really narrow and require a lot of data, training, integration with current practices, etc to work. The biggest example here is AlphaFold because it is making new predictions. But its utility in drug discovery is, AFAIK, still very unclear.
Hello Dr, I'm a medical student based in the UK interested in keeping updated with recent advancements in AI/Technology in healthcare. I'm assuming that majority of your information refers to US technological advancements. Do you know of any sources that release information on UK advancements? Any help would be much appreciated! Thanks for the video!
