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Academic Journal

Refining risk prediction in pediatric acute lymphoblastic leukemia through DNA methylation profiling

Subjects: Artificial intelligence; DNA methylation; Epigenetics

  • Source: Mosquera Orgueira , A , Krali , O , Pérez Míguez , C , Peleteiro Raíndo , A , Díaz Arias , J Á , González Pérez , M S , Pérez Encinas , M M , Fernández Sanmartín , M , Sinnet , D , Heyman ,

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Conference

Detection, identification and clustering of palynomorphs using AI and machine learning

Subjects: /dk/atira/pure/core/keywords/TheFacultyOfScience; Faculty of Science; palynology

  • Source: Stefanowicz , S , Ask , M , Juliani , C & Lindström , S 2023 , ' Detection, identification and clustering of palynomorphs using AI and machine learning ' , EGU General

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Academic Journal

Predicting Obsessive-Compulsive Disorder Events in Children and Adolescents in the Wild Using a Wearable Biosensor (Wrist Angel):Protocol for the Analysis Plan of a Nonrandomized Pilot Study

Subjects: adolescents; AI; artificial intelligence

  • Source: Olesen , K V , Lønfeldt , N N , Das , S , Pagsberg , A K & Clemmensen , L K H 2023 , ' Predicting Obsessive-Compulsive Disorder Events in Children and Adolescents in the Wild Using a Wearable

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Academic Journal

Clinician-Facing AI in the Wild:Taking Stock of the Sociotechnical Challenges and Opportunities for HCI

Subjects: artificial intelligence; clinician-facing systems; conceptual framework

  • Source: Zajac , H D , Li , D , Dai , X , Carlsen , J F , Kensing , F & Andersen , T O 2023 , ' Clinician-Facing AI in the Wild : Taking Stock of the Sociotechnical Challenges and Opportunities for HCI ' , ACM

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Academic Journal

Automated Identification of Multiple Findings on Brain MRI for Improving Scan Acquisition and Interpretation Workflows:A Systematic Review

Subjects: artificial intelligence; machine learning; brain MRI

  • Source: Sheng , K , Offersen , C M , Middleton , J , Carlsen , J F , Truelsen , T C , Pai , A , Johansen , J & Nielsen , M B 2022 , ' Automated Identification of Multiple Findings on Brain MRI for Improving

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Conference

AI Augmented Analysis in digital biostratigraphy—palynology

Subjects: /dk/atira/pure/core/keywords/TheFacultyOfScience; Faculty of Science; Machine learning

  • Source: Stefanowicz , S , Ask , M , Juliani , C & Lindström , S 2022 , ' AI Augmented Analysis in digital biostratigraphy—palynology ' , 11th European Palaeobotany and Palynology Conference , Stockholm ,

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Academic Journal

Associations Between the Severity of Obsessive-Compulsive Disorder and Vocal Features in Children and Adolescents:Protocol for a Statistical and Machine Learning Analysis

Subjects: adolescents; AI; artificial intelligence

  • Source: Clemmensen , L K H , Lønfeldt , N N , Das , S , Lund , N L , Uhre , V F , Mora-Jensen , A R C , Pretzmann , L , Uhre , C F , Ritter , M , Korsbjerg , N L J , Hagstrøm , J , Thoustrup , C L ,

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Academic Journal

Chemoinformatics and artificial intelligence colloquium:progress and challenges in developing bioactive compounds

Subjects: ADME profile; Antibiotic resistance; Artificial intelligence

  • Source: Bajorath , J , Chávez-Hernández , A L , Duran-Frigola , M , Fernández-de Gortari , E , Gasteiger , J , López-López , E , Maggiora , G M , Medina-Franco , J L , Méndez-Lucio , O , Mestres , J ,

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Academic Journal

Artificial Intelligence and Transcatheter Interventions for Structural Heart Disease:A glance at the (near) future

Subjects: Artificial Intelligence; Deep Learning; Machine Learning

  • Source: Ribeiro , J M , Astudillo , P , de Backer , O , Budde , R , Nuis , R J , Goudzwaard , J , Van Mieghem , N M , Lumens , J , Mortier , P , Mattace-Raso , F , Boersma , E , Cummins , P , Bruining , N &

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Academic Journal

Automatic Fungi Recognition:Deep Learning Meets Mycology

Subjects: Artificial intelligence; Classification; Computer vision

  • Source: Picek , L , Šulc , M , Matas , J , Heilmann-Clausen , J , Jeppesen , T S & Lind , E 2022 , ' Automatic Fungi Recognition : Deep Learning Meets Mycology ' , Sensors , vol. 22 , no. 2 , 633 .

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Report

How to Assess Trustworthy AI in Practice

Subjects: cs.CY; Trustworthy; Artificial Intelligence

  • Source: Zicari , R V , Amann , J , Bruneault , F , Coffee , M , Düdder , B , Gallucci , A , Gilbert , T K , Hagendorff , T , Halem , I V , Hickman , E , Hildt , E , Holm , S , Kararigas , G , Kringen , P ,

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Academic Journal

Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm

Subjects: Artificial intelligence; Artificial neural networks; Cardiac arrest

  • Source: Andersson , P , Johnsson , J , Björnsson , O , Cronberg , T , Hassager , C , Zetterberg , H , Stammet , P , Undén , J , Kjaergaard , J , Friberg , H , Blennow , K , Lilja , G , Wise , M P ,

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Academic Journal

Tuning EU Equality Law to Algorithmic Discrimination: Three Pathways to Resilience

Subjects: /dk/atira/pure/core/keywords/TheFacultyOfLaw; Faculty of Law; algorithmic discrimination

  • Source: Xenidis , R 2021 , ' Tuning EU Equality Law to Algorithmic Discrimination: Three Pathways to Resilience ' , Maastricht Journal of European and Comparative Law , vol. 27 , no. 6 , pp. 736–758 .

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Academic Journal

Empathetic application of machine learning may address appropriate utilization of ART

Subjects: ART utilization; Artificial intelligence; IVF drop-outs

  • Source: Jenkins , J , van der Poel , S , Krüssel , J , Bosch , E , Nelson , S M , Pinborg , A & Yao , M M W 2020 , ' Empathetic application of machine learning may address

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Academic Journal

Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care

Subjects: Artificial intelligence; Artificial neural networks; Cerebral performance category

  • Source: Johnsson , J , Björnsson , O , Andersson , P , Jakobsson , A , Cronberg , T , Lilja , G , Friberg , H , Hassager , C , Kjaergard , J , Wise , M , Nielsen , N & Frigyesi , A 2020 , '

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Academic Journal

Machine learning as a supportive tool to recognize cardiac arrest in emergency calls

Subjects: Artificial intelligence; Cardiopulmonary resuscitation; Detection time

  • Source: Blomberg , S N , Folke , F , Ersbøll , A K , Christensen , H C , Torp-Pedersen , C , Sayre , M R , Counts , C R & Lippert , F K 2019 , ' Machine learning as a

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AI in the Health & Life Sciences & the Medicus L(ex) Machina:Setterwalls Life Sciences Report (2019)

Subjects: /dk/atira/pure/core/keywords/TheFacultyOfLaw; Faculty of Law; law

  • Source: Minssen , T 2019 , AI in the Health & Life Sciences & the Medicus L(ex) Machina : Setterwalls Life Sciences Report (2019) . Setterwalls (Law Firm) . <

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