👉🏼 Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications 🤓 Khadijeh Moulaei 👇🏻 https://lnkd.in/e9N9Y2CK 🔍 Focus on data insights: - GAI models like ChatGPT, Google Bard, and Microsoft Bing AI were frequently employed in healthcare. - Various applications of GAI in healthcare were identified, including offering insights on health conditions and disease diagnosis. - Benefits and challenges of GAI in healthcare were explored, highlighting the importance of data accuracy and information reliability. 💡 Main outcomes and implications: - Providing rapid access to information and valuable insights. - Improving prediction and diagnosis accuracy. - Addressing challenges related to generating inaccurate content and ensuring data reliability. 📚 Field significance: - GAI has the potential to revolutionize healthcare by enhancing diagnosis, treatment, and care through advanced data insights. - Understanding the benefits and challenges of GAI is crucial for maximizing its potential in healthcare settings. 🗄️: [#artificialintelligence #healthcare #datainsights #applications #challenges]
Nick Tarazona, MD’s Post
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Big #Data and health analytics have matured. #AI allows preventive care physicians to predict the behavior of patient populations, which allows care providers to act before an illness occurs. Do you know 5 areas that Big Data can help? #HealthTech
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