Latest / Artificial Intelligence Exposed / Exploring AI in Healthcare
Transcript
- 0:00Speaker 1: All right, buckle up everyone, because today we are diving
- 0:04Speaker 1: deep into some seriously cool stuff. We're talking about artificial
- 0:07Speaker 1: intelligence AI and how it's shaking up the world of healthcare.
- 0:11Speaker 2: Oh yeah, this is going to be a fascinating one seriously.
- 0:14Speaker 1: Right from what you've all sent in, it looks like
- 0:16Speaker 1: you're really interested in how AI can you know, like
- 0:20Speaker 1: revolutionize medicine, but also the challenges that come along with it.
- 0:23Speaker 2: Absolutely, and there are some big ethical questions we'll definitely
- 0:27Speaker 2: need to explore a little.
- 0:28Speaker 1: Later for sure. But first I think we need to
- 0:31Speaker 1: get a handle on just how powerful this technology is.
- 0:34Speaker 1: And let me tell you some of the research you
- 0:36Speaker 1: sent over had my jaw on the floor.
- 0:38Speaker 2: I know. Some of this stuff feels straight out of
- 0:41Speaker 2: science fiction.
- 0:42Speaker 1: I know, right, Like AI analyzing medical images. It's not
- 0:45Speaker 1: just reading X rays and MRIs anymore. It's like exceeding
- 0:49Speaker 1: human capabilities in some cases.
- 0:50Speaker 2: It's really incredible.
- 0:51Speaker 1: So like, how is that even possible? I mean, how
- 0:54Speaker 1: can a machine be better at diagnosing than you know,
- 0:57Speaker 1: an actual doctor.
- 0:58Speaker 2: Well, it all comes down to how these AI systems,
- 1:02Speaker 2: these machine learning algorithms are trained. They're fed massive amounts
- 1:06Speaker 2: of data, like thousands and thousands, even millions of medical images.
- 1:11Speaker 1: Oh wow.
- 1:11Speaker 2: Yeah, and by analyzing all those images, they learn to
- 1:14Speaker 2: recognize incredibly subtle patterns, things that honestly, even the most
- 1:18Speaker 2: experienced radiologist might miss.
- 1:21Speaker 1: So it's like having i don't know, like a superhuman
- 1:24Speaker 1: second opinion on every single image.
- 1:26Speaker 2: That's a great way to put it. And think about
- 1:28Speaker 2: the implications for say, cancer detection. AI can spot tiny
- 1:32Speaker 2: clusters of calcium in mammograms, these microclcifications that could be
- 1:37Speaker 2: an early sign of breast cancer.
- 1:38Speaker 1: That's incredible. So we're talking about catching things much earlier
- 1:41Speaker 1: than we ever could before exactly.
- 1:42Speaker 2: And we all know early detection is absolutely key when
- 1:45Speaker 2: it comes to treating so many diseases.
- 1:47Speaker 1: No doubt, that's huge. But it's not just about images. Right.
- 1:50Speaker 1: You sent some research about AI being used to create
- 1:52Speaker 1: personalized treatment plans.
- 1:54Speaker 2: Right, AI is being used to analyze tons of data
- 1:57Speaker 2: to tailor treatments to individual patients.
- 2:00Speaker 1: Okay, so walk me through this. What does that actually
- 2:02Speaker 1: look like like in practice?
- 2:04Speaker 2: Okay? Imagine this. AI takes your genetic information, your medical history,
- 2:09Speaker 2: your lifestyle, even data from your wearable tech if you
- 2:13Speaker 2: use it, and it uses all that to build a
- 2:16Speaker 2: treatment plan that's designed specifically for you, like.
- 2:19Speaker 1: A custom made medical plan. That sounds pretty futuristic, it is.
- 2:23Speaker 2: But it's happening now. This is what's known as precision medicine,
- 2:27Speaker 2: and the goal is to maximize effectiveness and minimize side.
- 2:30Speaker 1: Effects, which are both huge issues with traditional medicine.
- 2:33Speaker 2: Right, one size fits all doesn't really work when it
- 2:36Speaker 2: comes to healthcare, and AI can help us move beyond that.
- 2:40Speaker 1: I see what you mean, But how does AI actually
- 2:42Speaker 1: process all that data to make those recommendations. I mean,
- 2:45Speaker 1: it's a lot of information to sift through.
- 2:47Speaker 2: Yeah, it's way too much for a human to really grasp.
- 2:50Speaker 2: But these algorithms can find complex relationships and patterns in
- 2:54Speaker 2: data that we'd never be able to see. Interesting. They
- 2:56Speaker 2: can predict with a pretty good degree of accuracy how
- 2:59Speaker 2: your body will respond to certain medications or therapies based
- 3:03Speaker 2: on your unique profile like your DNA, and so it's
- 3:06Speaker 2: really remarkable. This technology could revolutionize how we treat all
- 3:10Speaker 2: sorts of conditions cancer, heart disease, even mental health conditions,
- 3:14Speaker 2: which honestly.
- 3:15Speaker 1: Is something we really need. New breakthroughs in mental.
- 3:18Speaker 2: Health absolutely now another area where AI is making waves
- 3:22Speaker 2: And this is something I know you were curious about,
- 3:24Speaker 2: is drug development.
- 3:26Speaker 1: Yeah, I mean, anyone who's ever waited for a new
- 3:29Speaker 1: treatment to be approved knows that the process can take forever, years,
- 3:34Speaker 1: even decades, right, Yeah, not to mention how much it
- 3:36Speaker 1: all costs.
- 3:37Speaker 2: You're exactly right. It's a long and expensive process. But
- 3:40Speaker 2: AI is beginning to change that in some really amazing ways.
- 3:43Speaker 1: Okay, I'm all ears how well.
- 3:45Speaker 2: One way is by using AI to sift through mountains
- 3:48Speaker 2: of data, I mean mountains of data on chemical compounds
- 3:51Speaker 2: and biological information to identify promising drug candidates much much faster.
- 3:57Speaker 1: So AI can kind of point researchers in the right
- 3:59Speaker 1: direction from the start. That's amazing exactly.
- 4:02Speaker 2: It cuts down on all that trial and error that
- 4:04Speaker 2: traditionally eats up so much time in the discovery phase.
- 4:07Speaker 1: But what about the next step, the clinical trials? Those
- 4:10Speaker 1: take a long time too, don't.
- 4:11Speaker 2: They They absolutely do. But AI can even help us
- 4:15Speaker 2: speed up that process.
- 4:16Speaker 1: Wait, really, yep, think about it.
- 4:18Speaker 2: AI can simulate clinical trials using virtual patient populations.
- 4:23Speaker 1: WHOA, So they're like testing things out into virtual world
- 4:27Speaker 1: before they even get to real people.
- 4:28Speaker 2: Exactly. That means researchers can start to understand the effectiveness
- 4:32Speaker 2: and safety of a drug before they even begin human trials.
- 4:37Speaker 1: Okay, that's a game changer. That could mean getting life
- 4:39Speaker 1: saving treatments to people so much faster.
- 4:42Speaker 2: And potentially for a lot less money too, because those
- 4:45Speaker 2: clinical trials are expensive, that's true.
- 4:47Speaker 1: So AI is speeding things up and saving money. This
- 4:50Speaker 1: is amazing. But you know, we've talked a lot about
- 4:52Speaker 1: the impact on doctors and scientists, but what about the
- 4:55Speaker 1: average person. How does AI actually change the patient experience?
- 4:59Speaker 2: Well, for star orders, think about all the hassles that
- 5:02Speaker 2: come with navigating the healthcare system, like scheduling appointments and
- 5:06Speaker 2: trying to get your questions answered. AI can help streamline
- 5:09Speaker 2: all of that.
- 5:10Speaker 1: Okay, yeah, that's something I think we can all relate to.
- 5:12Speaker 2: Right, Like, imagine having an AI powered virtual assistant that
- 5:16Speaker 2: can answer your basic medical questions, schedule your appointments, even
- 5:21Speaker 2: remind you to take your medications.
- 5:23Speaker 1: No more waiting on hold forever just to talk to
- 5:25Speaker 1: a receptionist. I like the sound of that.
- 5:27Speaker 2: And it can be available twenty four to seven, personalized
- 5:29Speaker 2: support whenever you need it.
- 5:31Speaker 1: That would be a game changer.
- 5:32Speaker 2: And on a larger scale, AI can help hospitals use
- 5:35Speaker 2: their resources more effectively through something called predictive analytics.
- 5:40Speaker 1: Predictive analytics, that sounds interesting. What's that all about?
- 5:43Speaker 2: Well, it's basically using data to anticipate future needs. So,
- 5:47Speaker 2: for example, a hospital could use AI to predict, say,
- 5:51Speaker 2: a flu outbreak.
- 5:52Speaker 1: Like a crystal ball for the flu season.
- 5:54Speaker 2: I love it kind of Yeah. By analyzing data from
- 5:57Speaker 2: all sources of places like search engine trends, the patterns,
- 6:01Speaker 2: even social media posts, AI can warn a hospital that
- 6:04Speaker 2: a flu outbreak is likely on the way.
- 6:06Speaker 1: That's pretty cool. So they can be prepared, right, make
- 6:08Speaker 1: sure they have enough staff and beds ready exactly.
- 6:11Speaker 2: It's all about being proactive instead of reactive.
- 6:13Speaker 1: Wow. You know, this deep dive has been eye opening,
- 6:17Speaker 1: but I feel like we've only just scratched the surface
- 6:20Speaker 1: of what AI can do in healthcare.
- 6:22Speaker 2: I agree, it really is just the beginning.
- 6:25Speaker 1: It's both incredibly exciting and I don't know, a little
- 6:28Speaker 1: bit overwhelming, to be honest. Where do we go from here?
- 6:31Speaker 2: Well? I think the main takeaway is that AI has
- 6:33Speaker 2: the potential to absolutely revolutionize healthcare in countless ways. From
- 6:39Speaker 2: diagnosing diseases earlier to developing those life saving drugs faster,
- 6:44Speaker 2: to even just making the healthcare system easier to navigate
- 6:47Speaker 2: for all of us.
- 6:47Speaker 1: Yeah, it's all about empowering both doctors and patients exactly.
- 6:50Speaker 1: So to everyone listening out there, here's something to think about.
- 6:54Speaker 1: As AI becomes more and more integrated into healthcare, what
- 6:58Speaker 1: role do you want to play in shaping this future.
- 7:01Speaker 1: It's a conversation we all need to be a part of.
- 7:03Speaker 2: We can't just sit back and let it happen. We
- 7:05Speaker 2: need to be informed and engaged.
- 7:07Speaker 1: Absolutely. Until next time, keep those brains buzzing and keep exploring.
- 7:11Speaker 2: We'll see you next time.