Novartis Ireland ’s Post

🏥 In recent years, the importance of explainable AI has been increasingly recognized as a critical prerequisite for the adoption of AI in healthcare. ↔️ Contrary to this prevailing belief, Yann LeCun and Eric Topol, MD challenge this strong emphasis on explainability, in last weeks discussion “AI in Healthcare: The Explainability Dilemma” hosted by Nabla. They argue that the answer lies in proving accuracy of these models in clinical trials rather than in explainability. 🧠 Find my Medium post on this interesting discussion in the link below ⬇️ and let me know your thoughts on the topic.

I did a few searches on Pubmed.com for machine and deep learning-related studies from 2004 to 2023 and made this infographic using the data. The graph highlights the exponential growth trend, and each data point is marked with the respective year and the total number of studies for that year. The upward trend becomes particularly steep from 2016 onwards, and you can see the number more than doubles itself between 2020 and 2023.  I think the impact of generative AI is not even something we can already see there because of how much time it takes for studies to get published. This graph clearly reflects the growing importance and integration of AI in healthcare and medicine.

This week, we'll spotlight our blog series by Dimitrios Markonis around three different #AI challenges. In the first installment, we discuss the challenges of overfitting and how we guard against it here at Intelligencia AI. Read it here ➡ https://lnkd.in/eJr-MtUy. #pharma

#insights you expect from #Axtria, in this case from ISPOR. Key takeaways highlighted include: - The growing acceptance of causal inference methodologies in real-world evidence (RWE) - The transformative impact of Generative AI - The use of novel, real-world data (RWD) - Digital Twins

🚨 AI in Healthcare is Changing the Game! 🚨 Did you know that generative AI drift and nondeterminism are crucial in modern healthcare? 🤯 Imagine a world where AI can adapt and evolve just like a living organism, making healthcare more personalized and responsive than ever before. 🌟 Meet Samuel

🚀🏥 We are at the cusp of a transformative era in healthcare! At the #LondonBiotechnology Show 2024, Microsoft's #ThomasBalkizas unveiled how AI is poised to revolutionise the sector. From accelerating clinical trials to devising personalised medicine, AI is transforming from a helpful tool to a game-changer in healthcare. Balkizas emphasised the profound impact of Generative AI, enhancing everything from routine administrative tasks to complex clinical processes. This "tipping point" marks the dawn of a new era where AI becomes an integral part of healthcare innovation.🔗 #AI #HealthcareInnovation #Microsoft #Biotechnology #GenerativeAI #PersonalisedMedicine

Generative AI has the potential to revolutionize healthcare, but we have to balance long-term potential with a pragmatic approach for balancing risk, says Doug Foster . Eventually it all comes down to data accessibility, quality and recall. #genai #healthcare #healthdata

My blog article on the transformative role of AI in the healthcare/medical field and discuss its promising applications.

AI has the potential to change many aspects of our world. From streamlining the workplace to improving healthcare outcomes to AI tutoring - there are a lot of expected positives. Though, it is not all sunshine and roses. Recently, Madhumita Murgia visited The New York Academy of Sciences to speak about her new book "Code Dependent: Living in the Shadow of AI." In her frank conversation with Nicholas Dirks, they discussed the real people whose lives are changed - for better and worse - by AI's exponential growth. For a full briefing on the event, check out the blog post below:

Explore AI's transformative power with Andrew Feldman, CEO of Cerebras Systems, as he shares insights on big chips' role in AI advancement. In an exclusive interview, Feldman discusses AI's impact across industries, revealing key developments and challenges. Read more: https://lnkd.in/gSM7hAu4