Abstract Data science holds the potential to increase the efficiency and effectiveness of surgical workflow, as well as improving patient outcomes in the operating room. Artificial intelligence is already informing risk prediction and decision support, increasingly drawing on live data from electron
Abstract “If we are not careful, AI will perpetuate the bias in this world. Computers learn how to be racist, sexist, and prejudiced in a similar way that a child does. The computers learn from their creator - us.” Aylin Caliskan, computer scientist The COVID-19 pandemic and the protests for
Abstract The global health crisis has seen exponential acceleration in the deployment of telemedicine, with health leaders expecting at least 30% of clinics to remain virtual permanently. For healthcare administrators, this presents both challenges and opportunities, including: The need to rethink p
Abstract Data science holds the potential to increase the efficiency and effectiveness of cardiology workflow, as well as improving patient outcomes. Artificial intelligence is already being used to predict those at risk of heart disease at a population level, as well as other risk prediction modell
Abstract Data science holds the potential to increase the efficiency and effectiveness of radiology workflow, as well as improving patient outcomes. Artificial intelligence is already being used to triage cases and prioritise workflow, increasing efficiency in radiology practice and decreasing burno
Abstract Data science holds the potential to increase the efficiency and effectiveness of healthcare delivery, improving patient outcomes and reducing costs. Artificial intelligence is already being used extensively in image analysis, risk prediction, workflow prioritisation, to triage cases and pri
Abstract The potential of data science to increase the efficiency and effectiveness of critical care units, as well as improving patient outcomes, is well established. And yet, examples of successful deployment of AI solutions in this setting are still relatively few and far between. What are the ma
Abstract In the era of COVID-19, healthcare executives face a pressing set of challenges. In short, almost every aspect of doing business must be completely rethought for both short-term survival and long-term advantage. It is widely acknowledged that technology holds the potential to improve qualit
Abstract The potential of data science to increase the efficiency and effectiveness of surgical workflow, as well as improving patient outcomes, is well established. And yet, examples of successful deployment of AI solutions in a surgical setting are still relatively few and far between. What are th
Abstract As Chief Innovation Officer and Chief Science and Quality Officer for the American College of Cardiology, John Rumsfeld is responsible for developing a long-term innovation agenda to help the ACC maintain its competitive advantage in the global marketplace, investigating global and domestic
