We want to know how you envision artificial intelligence (AI) shaping the field of medicine in the upcoming years. 🧠💡 Share your thoughts and concerns regarding AI's role in medicine, and let's explore the exciting possibilities together! 🗣💬
Health providers in my experience already take in a five-minute soundbite of summary information about an ongoing medical condition, and then generically prescribe a "best practice" protocol or treatment strategy that sounds like it came from a pharma journal or maybe a statistical averaging from some WHO database of past malpractice lawsuits. It's such an automated and depersonalized process already, that just directly talking to a machine in the first place will surely not be so much different. More expensive maybe, until the AI's patent expires and a generic version comes available; but subjectively the same experience. A significant change however, is that up to now when a human doctor's prescription is particularly out to lunch or illogical, it has been possible to read through their notes and pick up clues as to where the patient omitted an important detail or where the doctor mis- heard what the patient said. If an AI is a black box, such confusion will be more difficult to debug.
Imagine doctors start getting unemployed after 5 years of medical school and 2+4-7 years of specialty training but also spending £46250-166000 on medicine
Yes, AI can do medicine in a variety of ways. Here are some examples: Diagnosis: AI can be used to analyze medical images and data to help doctors diagnose diseases more accurately. For example, AI-powered systems have been shown to be just as accurate as human radiologists at detecting breast cancer. Prognosis: AI can be used to predict the course of a disease and the likelihood of a patient's recovery. This information can help doctors make better treatment decisions and provide patients with more accurate information about their prognosis. Treatment: AI can be used to develop new treatments for diseases. For example, AI-powered systems are being used to design new drugs and to optimize the dosage of existing drugs. Personalized medicine: AI can be used to create personalized treatment plans for patients. This is done by taking into account a patient's individual genetic makeup, medical history, and other factors. Healthcare administration: AI can be used to automate tasks in healthcare administration, such as scheduling appointments, processing claims, and managing patient records. This can free up time for healthcare professionals to focus on patient care. AI is still a relatively new field, and there are many challenges that need to be addressed before it can be fully integrated into medicine. However, the potential benefits of AI for medicine are significant, and it is likely to play an increasingly important role in the future of healthcare. Here are some of the challenges that need to be addressed before AI can be fully integrated into medicine: Data availability: AI-powered systems require large amounts of data to train and operate. This data can be difficult and expensive to obtain, especially for rare diseases. Bias: AI systems can be biased if they are trained on data that is not representative of the population. This can lead to inaccurate diagnoses and treatment recommendations. Interpretability: It can be difficult to understand how AI systems make decisions. This can make it difficult to trust these systems and to use them in clinical settings. Despite these challenges, AI has the potential to revolutionize medicine. It can help doctors diagnose diseases more accurately, predict the course of a disease, and develop personalized treatment plans. AI can also automate tasks in healthcare administration, freeing up time for healthcare professionals to focus on patient care. The future of medicine is likely to be increasingly influenced by AI, and it is an exciting time to be involved in this field.
Hey, current PreMed applying this cycle and along with a great team, I published a book on how AI can impact the drug discovery process. Since you’re creating a few AI videos, if you want to drop one on that subject, I’d be happy to help. Thank you for all these informative videos! Have been watching for years.
This can change everything I'm a sixth-year medical student and want to be a cardiologist but I can't imagine in 10 years there is much a cardiologist can do and AI cant!! would you please make a video of which specialties possibly will be least affected .
AI interpretation of fundoscopy has the potential to bring about significant changes, rendering vascular disorders no longer the leading cause of death.
I cannot wait. Me and my wife are both disabled wheelchair-bound. We live in East London Newham. We don't have any medical or social care or even a half incontinence pant. But we get letters in nudging us to take Covid vaccines. In what they are going to help to us?
There have always been some middle school and high school summer camps that get students involved in the hospital. Look into those if they are available to you! I had my first experience in the 8th grade and now I'm a 4th year medical student!
I'd really like to know what could possibly make an 11 year old interested in psychiatry? I only became interested after going through all other medical specialties as a medical student. It is really fun though, psychiatry 😊
Don't get discouraged because of the years spent in medical school ..to complete all degrees takes some years approximately 3-4years to complete...you are going to become a doctor if this is what you really want keep at it ... your studies will be a little longer ..nothing good in life comes easy.all the best to you❤
I REALLY NEED YOUR HELP BECAUSE I AM SCAREDD !!! I am a high school student and my passions are diagnosing patients , doing surgeries, and emergency operations . I also love diagnosing by looking at results and analysis (fx. Echo or angiogramm) , I experienced them all in hospital by working there. Do you think my job will be effected a lot by ai ? I will probably become a general surgeon focused on cardiology and cardio thoracic surgery. I am scared that there will be not much i like to do in future and doctors will be unemployed or poor because of AI
I believe AI is going to be very helpful to providers, for example, there are about 7500 journals published every day regarding healthcare treatments, diagnosis, and the best care available and 2500 of the journals are about cancer treatment, so is the provider going to read all these articles daily before he or she comes to work? I don’t think so because it’s humanly impossible but AI can read and summarize them for providers daily so they can provide the best cure possible using evidence based practice on a daily basis, that’s very awesome and provider will be very grateful ☺️
I love the idea of AI assisting doctors, but I'm not sure about AI doctors on their own just yet. Maybe we’ll get there eventually, but for now, the human element is still critical.
@@pb4ugo19don’t stop. I was to study oil engineering 10 years ago I didn’t study because at time the media were talking about green energy and the end of oil then years have gone and oil still strong for at least more 20 to 30 years I shouldn’t stop, so don’t stop follow your choice
I know a PH.D who did research on AI and treatment actually from 2010. He was mainly in the programming and engineering aspect, but their research also heavily involved patient reactions to robots or AI. They had a massive sample size, and one of the biggest hurdles of nonhuman treatment was patient aversion. Overwhelming amount of people wanted human interaction when it came to treatment. I was also part of observing effects of AI and internal medicine at a very large research hospital that I cannot disclose. One of the benefits of AI was prelim. diagnosis which was pretty good and faster than people. One thing the AI had trouble with was complexities and needs of different humans. The AI could not “logically” assess why some people reacted differently to a treatment. Basically it had trouble reasoning why people are all different despite facts and data about human physiology. What was really disturbing here was it tended to focus on patient data that fit the medical facts, and rules out people who did not respond to medication as they “supposed to” as experimental error.”
🤔 misDx is rare, but the crucial issue is not receiving a Dx at all. (& punting) IMO, AI is crucial to quickly Dx patients properly so they have better chances of convalescing. Patients with serious autoimmune & other complex illness cannot wait ten years for a proper Dx, and should not be exposed to medical gaslighting. Further, patients can no longer risk placing the entire healthcare burden on the physician/provider. (Gives rise to more patient punting). Unfortunately, some docs become angry when a patient dares to research things on their own. This is changing very quickly, b/c physicians & their children are more frequently experiencing complex illness. That will change one’s outlook rapidly. No one can know everything & no one knows their body better than the patient. I have great hope for a medical revolution, because without your health you have nothing! ☮️❤️& good health to you all!
Artificial Intelligence is revolutionizing healthcare by improving diagnostic accuracy, personalizing treatment plans, predicting health issues before they arise, and streamlining administrative tasks. These advancements lead to better patient care and more efficient healthcare systems.
The way AI is affecting healthcare is amazing! The way that these technologies are improving patient outcomes overall, as well as diagnosis and treatment, is astounding.
Thank you for information! AI truly simplifies people's lives. We also find it fascinating to watch, which is why our latest video is about AI in HEALTHCARE
I will keep long story short but this won’t happen for awhile for so many reasons. I have experience in this research field, and its mostly due to reasons most people don’t think. Medicine is not just about correct patient treatment options. Also, AI seems to struggle with certain aspects of medicine as well.
