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Decision Intelligence Platform Uses AI to Guide Healthcare Treatment Choices with Fadi Micaelian Sparkdit and Dr. Andrew Fang
Manage episode 434010340 series 99915
Fadi Micaelian, CEO of Sparkdit, and Dr. Andrew Fang, Chief of Orthopedics at Kaiser South San Francisco, have joined together to help patients and doctors make better treatment decisions by considering trade-offs and patient preferences. The platform can help reduce bias and incorporate patient desires into care while considering comorbidities and other factors that may affect treatment decisions. Fadi and Andrew agree that collaboration between technologists and clinicians is essential for advancing the use of AI in healthcare to augment human intelligence and improve outcomes.
Fadi explains, "At Sparkdit, our mission is to teach computers to think like humans. To do so, we've taught computers to think with trade-offs. So humans universally think the same way. It doesn't matter where they're coming from. We all think the same way. Whenever we have a decision, we have a set of criteria that we take into account. We think in a certain way of each criterion, and then we apply on top of that a set of trade-offs. Trade-offs are core to the way we make decisions. Now, when you apply that to healthcare, that's not a domain that I'm an expert in. There was a set of doctors led by Dr. Fang at Kaiser who discovered and invented a new way of applying that technology to healthcare."
Andrew elaborates, "I think the potential benefits of AI are that they can augment the doctor/patient relationship. It's really important that we maintain this human connection with our patients, but is there a way that AI can help us make better decisions, achieve better outcomes, and incorporate some of the things that patients want in their care more easily?"
#Sparkdit #MedAI #AI #DigitalHealth #MedTech #Orthopedics #PatientDecisions #DecisionIntelligence
1842 episodes
Manage episode 434010340 series 99915
Fadi Micaelian, CEO of Sparkdit, and Dr. Andrew Fang, Chief of Orthopedics at Kaiser South San Francisco, have joined together to help patients and doctors make better treatment decisions by considering trade-offs and patient preferences. The platform can help reduce bias and incorporate patient desires into care while considering comorbidities and other factors that may affect treatment decisions. Fadi and Andrew agree that collaboration between technologists and clinicians is essential for advancing the use of AI in healthcare to augment human intelligence and improve outcomes.
Fadi explains, "At Sparkdit, our mission is to teach computers to think like humans. To do so, we've taught computers to think with trade-offs. So humans universally think the same way. It doesn't matter where they're coming from. We all think the same way. Whenever we have a decision, we have a set of criteria that we take into account. We think in a certain way of each criterion, and then we apply on top of that a set of trade-offs. Trade-offs are core to the way we make decisions. Now, when you apply that to healthcare, that's not a domain that I'm an expert in. There was a set of doctors led by Dr. Fang at Kaiser who discovered and invented a new way of applying that technology to healthcare."
Andrew elaborates, "I think the potential benefits of AI are that they can augment the doctor/patient relationship. It's really important that we maintain this human connection with our patients, but is there a way that AI can help us make better decisions, achieve better outcomes, and incorporate some of the things that patients want in their care more easily?"
#Sparkdit #MedAI #AI #DigitalHealth #MedTech #Orthopedics #PatientDecisions #DecisionIntelligence
1842 episodes
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