Good Day, Medicine AI in Medicine Learning Objectives: Develop a framework about the history of Artificial Intelligence (AI) Provide an overview of types of AI in medicine Review current AI technologies in medicine Highlight important factors for the future of AI Evaluate and define ethical aspects in AI https://buff.ly/47iokDC
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New antibiotics discoverd with AI. The power of AI can help humanity as MIT researchers proves in their last medical research. #mit #newdiscovery #AI #thepowerofai https://lnkd.in/dmZ3VnNC
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Intern at Government Medical College, Jammu, Jammu and Kashmir, India. PLAB Aspirant. Founder: SRDC, GMC Jammu. National Delegate India IASSS.
Be it any field, AI is the future - Artificial Intelligence in the field of medicine, although in its crude stage right now, is an essential element of modern advancements in medicine to be explored well and studied about. This course by AIRE was an eye opener for me. There is so much yet to be done and made easy with AI. Thanks Preethi Jagannath for this opportunity!
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The Future of Artificial Intelligence in Medicine: An Interview with Isaac Kohane - Harvard Political Review: The Future of Artificial Intelligence in Medicine: An Interview with Isaac Kohane Harvard Political Review http://dlvr.it/T2Z1sd #ai #artificialintelligence
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New Mind-Reading “BrainGPT” Turns Thoughts Into Text On Screen https://lnkd.in/epXSufTh Visit https://thehorizon.ai for more AI news. #AI #artificialintelligence #bci
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The origins of AI can be traced back to the 1950s when it was not fully conceptualised. Gradually, it gained prominence in the life sciences. The early 1970s witnessed a proliferation of research as AI launched itself in healthcare and was applied to biomedical problems. Eventually, AI found its mark in the clinical domain in the 1980s, where it is enthusiastically embraced today. RADISH CONSULTANTS #healthandwellness #ai #ainnnovation #ainhealth
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AI system, Coscientist, autonomously learned and executed complex chemical reactions – may accelerate discoveries https://lnkd.in/eZqRiKev Visit https://thehorizon.ai for more AI news. #AI #artificialintelligence #science #carnegiemellon #coscientist
AI system, Coscientist, autonomously learned and executed complex chemical reactions – may accelerate discoveries
https://thehorizon.ai
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Using AI models trained on the brains of rodents, a recent study has uncovered a wealth of information on brain oscillations. Here's how this AI toolbox can help biomedicine. #AI #ML #futurism #IntelligenceFactory #digitaltransformation #DX https://lnkd.in/dq3Q9txH
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MSK radiologist with special interest in artificial intelligence and pain and palliative procedures.
Although challenges remain in explainable AI techniques in interpretability and trustworthiness, this research helps to demystify it. Many thanks to Han Yuan, Nan Liu for this!
In our recent Journal of Biomedical Informatics (#JBI) paper, we introduce a novel approach to enhance explainable AI (#XAI) methods. By developing a domain knowledge-derived template, we elevate model explanations, exemplified through #pneumothorax classification. While XAI shows reasonable performance, if adequate annotated data are available, we recommend solving segmentation problems to boost explanation accuracy. Paper: https://lnkd.in/gsGSh-4Y #MedicalAI #XAI #ExplainableAI #AI #HealthcareInnovation #MedicalResearch
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Clinical predictive models created by AI are accurate but study-specific, researchers find: Scientists were able to show that statistical models created by artificial intelligence (AI) predict very accurately whether a medication responds in people with schizophrenia. However, the models are highly context-dependent and cannot be generalized. @Poseidon-US #ScienceDaily #Technology
Clinical predictive models created by AI are accurate but study-specific, researchers find
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