首页|Maastricht University Medical Center Reports Findings in Artificial Intelligence [Using artificial intelligence and predictive modelling to e nable learning healthcare systems (LHS) for pandemic preparedness]
Maastricht University Medical Center Reports Findings in Artificial Intelligence [Using artificial intelligence and predictive modelling to e nable learning healthcare systems (LHS) for pandemic preparedness]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Maastri cht, Netherlands, by NewsRx journalists, research stated, "In anticipation of po tential future pandemics, we examined the challenges and opportunities presented by the COVID-19 outbreak. This analysis highlights how artificial intelligence (AI) and predictive models can support both patients and clinicians in managing subsequent infectious diseases, and how legislators and policymakers could suppo rt these efforts, to bring learning healthcare system (LHS) from guidelines to r eal-world implementation." The news reporters obtained a quote from the research from Maastricht University Medical Center, "This report chronicles the trajectory of the COVID-19 pandemic , emphasizing the diverse data sets generated throughout its course. We propose strategies for harnessing this data via AI and predictive modelling to enhance t he functioning of LHS. The challenges faced by patients and healthcare systems a round the world during this unprecedented crisis could have been mitigated with an informed and timely adoption of the three pillars of the LHS: Knowledge, Data and Practice. By harnessing AI and predictive analytics, we can develop tools t hat not only detect potential pandemic-prone diseases early on but also assist i n patient management, provide decision support, offer treatment recommendations, deliver patient outcome triage, predict post-recovery long-term disease impacts , monitor viral mutations and variant emergence, and assess vaccine and treatmen t efficacy in real-time."
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