首页|University of Genoa Reports Findings in Artificial Intelligence (Explainable and Interpretable Machine Learning for AntimicrobialStewardship: Opportunities and Challenges)
University of Genoa Reports Findings in Artificial Intelligence (Explainable and Interpretable Machine Learning for AntimicrobialStewardship: Opportunities and Challenges)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating from Genoa , Italy, by NewsRx correspondents, research stated, “There is growinginterest i n exploiting the advances in artificial intelligence and machine learning (ML) f or improvingand monitoring antimicrobial prescriptions in line with antimicrobi al stewardship principles. Against thisbackground, the concepts of interpretabi lity and explainability are becoming increasingly essential tounderstanding how ML algorithms could predict antimicrobial resistance or recommend specific ther apeuticagents, to avoid unintended biases related to the ‘black box’ nature of complex models.”
GenoaItalyEuropeAntimicrobialsAr tificial IntelligenceCyborgsDrugs and TherapiesEmerging TechnologiesHeal th and MedicineMachine Learning
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