Leveraging AI in Healthcare: A Path to Universal Improvement The journey of AI in healthcare is just beginning. Contrary to the belief that AI can’t address biases and population differences, it actually enhances outcomes across all demographics. By understanding and incorporating these intricacies, we can achieve significant improvements globally. Some populations may highlight certain intricacies due to their magnitude, but these same factors exist on smaller scales in all groups. Recognizing these can unlock low-hanging fruits for better outcomes everywhere, even in areas thought to be well-understood. I believe these AI models are ready for deployment, provided we implement safeguards and checkpoints to ensure positive outcomes. This could involve multiple reviews, including double-blind assessments, to guarantee only beneficial results. There are clear paths to ensuring only gains, with mechanisms and feedback loops that drive momentum and inspire innovation. This approach can lead to dramatic advancements, far beyond current expectations. While it’s challenging to quantify all variables, the science supports these transformative outcomes. And make no mistake about it - anyone venturing genuinely to map out the mechanisms and the myriads in motion and their downstream implications and all that - will see that my emphasizing that the real tradeoffs and considerations as functions of time are like night and day in terms of exponetials on top of exponentials greater in net impact and magnitude than the mere often benchmarked a vs b as function of time. E.g. it's not any particular acumen or brilliance that leads to one identifying that it's merely just putting on paper the mechanisms and science and my hope is that we can encourage more embracing of science where it's just science as the downstream net impacts of all that are to say the least expansive. In any event in many of the use cases i refer to there's really no theoretical way to argue that if do no harm is the litmus test - NOT pushing forward and embracing the science where it's science amounts to a clear "blow out" in terms of harm inflicted / not avoided vs what otherwise would have rolled out. Let’s embrace AI in healthcare to unlock its full potential and drive global improvements.
Scientists at Harvard Medical School designed an AI model that can perform diagnostic tasks across multiple cancer types. The new system, similar to ChatGPT, is more advanced than currently available AI approaches to cancer diagnosis. https://bit.ly/3BH1MkY #AI #ArtificialIntelligence #diagnostics #cancer #science #research #NIH
Prabhakar V
2mo
Michael Attea Embracing AI in healthcare is key to unlocking transformative improvements across all demographics. Exciting times ahead!
Jacob Mathew, MD
2mo
I completely agree, we need to have the safeguards in place as we are deploying this. The difference between AI and healthcare and other industries is that if there is a chance that harm can come to the patient from some serious AI mistakes, that's something that will be held against AI tools and negatively impact how we deploy in the future and the trust towards AI.
Digital Transformation & Analytics | MBA in Marketing & Analytics
2moVery true - feel it's imperative and definitely deliverable so as to ensure universal lifts