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The future holds promise for "generalist medical AI" models trained on diverse datasets which could outperform humans in specific scenarios. However, these tools should be used to assist medical professionals in their field instead of completely replacing them. While current AI tools offer support by quickly identifying potential issues in scans, it's important that doctors don't become reliant on them to the point where human cognition no longer comes into play. In future, medical professionals should be trained to work alongside AI in a way which safely allows them to perform tasks quicker, alleviating pressure on the NHS and helping to improve the process for doctors and patients alike. Resulting in less delays and more lives being saved. #AI #AIinMedicine #ArtificialIntelligence #HealthTech

Geoffrey Hinton predicted in 2018 that AI systems would soon be able to read and interpret medical scans and X-rays better than people could! Is this a reality today? Despite over 500 FDA-approved AI tools, only 10-30% of clinicians have embraced them. Would development of the foundational AI models backed by the the knowledge of medical SMEs make their adoption and functionality more effective? Are "generalist medical AI" or foundation models, trained on extensive datasets, a potential solution? https://lnkd.in/g24qKUdN #aiinmedicine #healthtech #medicalai #artificialintelligence #healthcarerevolution

Visual AI Models Transform Medical Imaging https://lnkd.in/enrkkYCG #ArtificialIntelligence #HealthTech #MedicalImaging #DiseaseDetection #MachineLearning #DigitalHealth #Innovation #HealthcareTechnology #AIinHealthcare #EarlyDetection #PatientCare #TechNews #ai #ainews

There's a lot of discussion these days about the potential dangers of AI, but what about the good it can do? AI has the potential to revolutionize many industries, and healthcare is one of the most promising. Of course, it's important to develop and use AI responsibly. But the potential benefits are undeniable. AI has the power to make a positive impact on the lives of millions of people. #AI #AIforGood #healthcare #GoogleCloud

An AI revolution is brewing in medicine. Emerging generalist AI models could overcome some limitations of first-generation machine-learning tools for clinical use https://bit.ly/3ss6PBP #ai #artificialintelligence #medicine

Explore the power of Ai in the world of health and let us know in the comment section if you have something to add on ✨ https://lnkd.in/dzphSxx8 For more such detailed information, ⭐ Follow the page

#ThrowbackFriday The integration of AI and Machine Learning into healthcare has the potential to revolutionize the way we approach medical treatment. From providing more personalized care to increasing efficiency and reducing costs, the applications of AI and ML in healthcare are numerous. Read more: https://lnkd.in/dnAXYZSn #AI #MachineLearning #MedTech #healthcare #blog #AngryNerds

AI's integration into healthcare has been transformative, with over 500 AI-based medical tools authorized by the FDA. However, many clinicians are yet to fully embrace them. The next frontier: Generalist Medical AI. 🏥 🤖 These models, powered by broad data sets and similar to large language models, are being adapted for multiple medical tasks. They could potentially address some of the limitations of first-generation medical AI, taking a more comprehensive approach to medical examinations. The aim is not to replace doctors but to complement them. However, there's a long way to go before these models become part of everyday clinical care. AI tools' limitations include sometimes making mistakes, focusing on specific tasks, and not considering the full patient history. They often work in silos rather than holistically. Efforts are being made to harness foundation models, which could offer more flexibility and overcome these limitations. Big tech companies, including Google and Microsoft, are investing in medical imaging foundation models that use multiple data types, making them more efficient and accurate. These models have the potential to surpass human abilities, particularly in areas like predicting tumoral responses to immunotherapy and analyzing high-dimensional images for valuable scientific information. #AI #HealthcareAI #MedTech #FutureOfMedicine #HealthTech #Nature #Innovation #STEM #ArtificialIntelligence #Health #Google #Microsoft #Science

Interesting read in Nature exploring the potential for generalist AI models in medicine. Yes there are plenty of issues to iron out but an idea of where and how AI can augment human capabilities based on recent breakthroughs in AI model development https://lnkd.in/ep5DdM-t

The ability to swiftly identify ailments from a bunch of common maladies holds the key to initiating effective treatments. With technological interventions, the convergence of artificial intelligence (AI) has comparatively reduced the time of diagnosing which has paved the way for a profound transformation in healthcare. #ThirdEye #SmartGlasses #ArtificialIntelligence #AI #AugmentedRealityGlasses #MixedRealityGlasses #AIPoweredGlasses https://lnkd.in/gprhEy-g