Results 121 to 130 of about 35,242 (295)
Towards Explainable, Compliant and Adaptive Human-Automation Interaction
, 2020 AI-based systems use trained machine learning models to make important decisions in critical contexts. The EU guidelines for trustworthy AI emphasise the respect for human autonomy, prevention of harm, fairness, and explicability. Many successful machine
Hamfelt, Andreas +7 more
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AI-based Anomaly Detection supported by Explainable AI
, 2022 Ziel dieser Arbeit ist es, aufzuzeigen, wie eine sinnvolle Verknüpfung von Anomalieerkennung mit Machine Learning und Explainable AI aussehen könnte. Hierfür werden die beiden Bereiche theoretisch aufgearbeitet, eine Kategorisierung von Explainable AI ...
Wirtz, Marc Christopher
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction/Objective Acute intracranial stenting during endovascular thrombectomy (EVT) for ischemic stroke requires intraprocedural antiplatelet therapy (APT) to maintain patency. However, the hemorrhagic risk of combining APT with intravenous thrombolysis (IVT) remains uncertain.
Aaron Rodriguez‐Calienes +75 more
wiley +1 more source
Brain InformaticsExplainability is crucial for establishing user trust in Artificial Intelligence (AI), particularly within safety-critical domains such as Air Traffic Management (ATM) and Air Traffic Control (ATC).
Giulia Cartocci +14 more
doaj +1 more source
Frontiers in RadiologyIn neuro-oncology, MR imaging is crucial for obtaining detailed brain images to identify neoplasms, plan treatment, guide surgical intervention, and monitor the tumor's response.
Eric W. Prince +8 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon +9 more
wiley +1 more source
Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity
Arthritis Care &Research, EarlyView.Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source
Explainable AI for chronic wound classification
, 2022 Die Klassifikation von akuten und chronischen Wunden ist ein essenzieller Schritt in der Wunddiagnose, um Ärztinnen und Ärzte bei der Findung des optimalen Behandlungsverfahrens für Patientinnen und Patienten zu unterstützen.
Hämmerle, Katja
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Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
A unified ontological and explainable framework for decoding AI risks from news data
Scientific ReportsArtificial intelligence (AI) is rapidly permeating various aspects of human life, raising growing concerns about its associated risks. However, existing research on AI risks often remains fragmented—either limited to specific domains or focused solely on
Chuan Chen +6 more
doaj +1 more source