João Bocas - The #Wearables Expert ™ Interviews Dr. Janak Gunatilleke, Head of Healthcare Analytics at KPMG UK and Author.
In this episode, we talked about #artificialintelligence in #Healthcare.
We discuss many aspects of AI in Healthcare and ways to improve it to make the most out of it.
Here are the questions we've addressed:
01:22 How can AI help improve Healthcare?
05:34 What are the main challenges?
12:48 How can we do things better?
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AI is a powerful tool to help doctors make better decisions, but it's not without its flaws.
Doctors are using artificial intelligence (AI) to improve patient care, but there are issues that need to be addressed in order for them to get the most out of this technology. One such issue is bias. Many systems that rely on AI have been shown to be biased against certain populations based on their race or gender. For example, a study from 2017 found that an automated system used by radiologists was more likely to misdiagnose darker skinned women than lighter skinned men.
Another problem with AI in healthcare is that it can't always answer all questions, even if it has access to more data than human doctors do. A recent paper published in Nature Medicine found that an AI system trained on medical records from one hospital was unable to predict patient outcomes at another hospital where they had different protocols and procedures. This means that some patients might not receive the right treatment if they go to a different facility because their records aren't available there or they don't follow the same standards as their current doctor does when making decisions about treatment options for each individual case.
AI is everywhere.
From the way you search for things online to the way your smartwatch tracks your heart rate, AI is running the show. But what about in healthcare?
The healthcare industry is a great place to apply artificial intelligence because it has so many repetitive tasks that computers can do better than humans. That's why there are already lots of cool AI applications for healthcare: from helping doctors read scans to helping patients find their insurance coverage. These are all good steps toward a more efficient healthcare system, but they're far from perfect—and they don't always work as well as we'd like them to.
Artificial intelligence is a hot topic right now. It's the future, and everyone wants to know what it means for their business.
But what does it mean for healthcare?
AI can help doctors make better diagnoses, predict disease outbreaks faster, and even recommend treatments based on patient data—but that's just the tip of the iceberg.
Artificial intelligence can also help hospitals save money by reducing errors in billing, decreasing insurance fraud, and making sure patients don't go home with unnecessary prescriptions.
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