Gary LaSasso’s Post

OPINION - Finbarr Murphy: I’m glad that we’re beginning to see some push back on the idea that AI is a silver bullet to solve every problem. The reality is, it’s just another tool in the toolbox. It’s true that in some situations it can make a significant impact but sometimes there are other tools more suited to the job. A paintbrush is perfect for creating a stunning piece of art but when it comes to painting a wall, a roller will do the job in twice the speed with a better finish. Also, as the article in the The Guardian argues, the promise of AI can be a welcome distraction from solving the more pressing issues of today. Is AI really a bionic duckweed? I’m not opening that particular can of worms today; however, to use the healthcare example in the article, without the right groundwork and addressing the systemic issues plaguing the NHS, the impact it can have will be minimal and contained. If we want to realise the true potential of AI, we must understand if we’re ‘data mature’ enough to benefit from it and assess it against the other tools available. Instead of AI for AI’s sake – we should be balancing innovation with what will make the biggest impact right now. Sorry for the shameless plug, but this is exactly what we’re doing at Modular Data Helping you understand your level of data maturity, giving you a roadmap to get to where you want to be, and selecting the right tools to help you get there – whether that’s AI or not. https://bit.ly/4cBZt0k #datainhealthcare #AIinhealthcare #dataproducts #datamaturity #maturityassessment

A cancer patient may have hundreds of clinical notes with their corresponding imaging, multi-omics, and other medical tests, across the disease trajectory from diagnosis to treatment to outcome. Such naturally occurring multimodal, longitudinal data can be leveraged to bridge the health competency gap in LMMs, following the general recipe of LLaVA-Med. #aiinmedicine #aiapplications #clinicalresearch

🌟 Welcome to the new issue of AI x Healthcare! Dive into the heart of AI innovation in healthcare with this latest issue. Here's a quick glimpse of what you can learn about: 🔬 1. FDA Approves Casgevy for Sickle Cell Disease: The FDA's approval of Casgevy, a CRISPR-based gene therapy for sickle cell disease, represents a major advancement but comes with high costs and long-term monitoring challenges. 💻 2. Google's MedLM in Healthcare: Google's MedLM, an AI-powered tool for healthcare, promises to revolutionize medical diagnostics, though it faces skepticism over accuracy and ethical concerns. 🔊 3. Environmental Noise and Health Risks: High levels of environmental noise, particularly in urban areas, are linked to serious health risks, highlighting the need for more effective noise control policies. Get ready for an enlightening journey through these cutting-edge topics! https://lnkd.in/giCwU8ye To receive it via email every week, you can subscribe here: http://eepurl.com/iD0ABM

How AI is changing the diagnostic landscape, slowly but steadily

How AI is changing the diagnostic landscape, slowly but steadily

How AI is changing the diagnostic landscape, slowly but steadily

#GenAI is unlocking unprecedented opportunities across sectors from enhancing cancer diagnostics in healthcare to transforming customer interactions in finance. The potential of #AI can be limitless as we shape a future that benefits everyone. https://msft.it/6048Y2te8

In my latest article, I explore how AI is transforming the precision and predictive capabilities of cell analysis, revolutionizing healthcare - from identifying benign vs malignant cells to forecasting disease progression over time: https://lnkd.in/gu2kx2CW Key highlights: - Automated classification of cells based on morphological features - Time series modeling to predict transitions from benign to malignant - Disease progression insights enabling early screening and intervention - Overcoming challenges like data quality and model interpretability #ArtificialIntelligence #CellAnalysis #PrecisionMedicine #DataScience

Did you know that Atrial Fibrillation (AFib) patients are 5x more likely to have a stroke? IQVIA Healthcare-grade AI™ can help predict likelihood of stroke in at-risk patients, enabling them to take steps to prevent it. Learn more about the power of healthcare-grade AI at https://bit.ly/3yqDQkF

Wow, what an insightful video! The future of AI in healthcare is truly fascinating and full of potential. It's incredible to see how AI is transforming diagnostics, personalizing treatment plans, and even predicting disease outbreaks before they happen. This video does an excellent job of highlighting the groundbreaking innovations on the horizon. Can't wait to see what's next! https://lnkd.in/eG9k7NDE