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Academic Journal

Raw photoplethysmogram waveforms versus peak-to-peak intervals for machine learning detection of atrial fibrillation:Does waveform matter?

Subjects: Atrial fibrillation; Machine learning; deep learning

  • Source: Isaksen , J L , Arildsen , B , Lind , C , Nørregaard , M , Vernooy , K , Schotten , U , Jespersen , T , Betz , K , Hermans , A N L , Kanters , J K & Linz , D 2025 , ' Raw photoplethysmogram waveforms

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Academic Journal

Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis

Subjects: Deep learning; Explainable artificial intelligence; Life course epidemiology

  • Source: Coupland , H , Scheidwasser , N , Katsiferis , A , Davies , M , Flaxman , S , Hulvej Rod , N , Mishra , S , Bhatt , S & Unwin , H J T 2025 , ' Exploring the potential and limitations of deep

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Academic Journal

Utilizing echocardiography and unsupervised machine learning for heart failure risk identification

Subjects: Artificial intelligence; Cluster analysis; Echocardiography

  • Source: Simonsen , J Ø , Modin , D , Skaarup , K , Djernæs , K , Lassen , M C H , Johansen , N D , Marott , J L , Jensen , M T , Jensen , G B , Schnohr , P , Martínez , S S , Claggett , B L , Møgelvang ,

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Academic Journal

Characteristics of productive feedback encounters in online learning

Subjects: Feedback; feedback encounter; digital ethnography

  • Source: Jensen , L X , Bearman , M & Boud , D 2025 , ' Characteristics of productive feedback encounters in online learning ' , Teaching in Higher Education , vol. 30 , no. 1 ,

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Academic Journal

Phylogenomics of the rarest animals:a second species of Micrognathozoa identified by machine learning

Subjects: Animals; Phylogeny; Machine Learning

  • Source: Sato , S , Appeldorff , C , Wangensteen , O S , Garcés-Pastor , S , Laumer , C E , Herranz , M , Giribet , G , Renault , D , Møller , P R & Worsaae , K 2025 , ' Phylogenomics of the rarest animals :

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Academic Journal

Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data

Subjects: Agroforestry; Deep Learning; Digital Elevation Model

  • Source: Yang , W , Ortiz-Gonzalo , D , Tong , X , Gominski , D & Fensholt , R 2025 , ' Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and

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Academic Journal

A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic Retinopathy

Subjects: Black box elimination; Deep learning; New vessels

  • Source: Dinesen , S , Schou , M G , Hedegaard , C V , Subhi , Y , Savarimuthu , T R , Peto , T , Andersen , J K H & Grauslund , J 2025 , ' A Deep Learning Segmentation Model for

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Academic Journal

Functionally characterizing obesity-susceptibility genes using CRISPR/Cas9, in vivo imaging and deep learning

Subjects: Animals; Zebrafish/genetics; CRISPR-Cas Systems

  • Source: Mazzaferro , E , Mujica , E , Zhang , H , Emmanouilidou , A , Jenseit , A , Evcimen , B , Metzendorf , C , Dethlefsen , O , Loos , R J , Vienberg , S G , Larsson , A , Allalou , A & den Hoed , M 2025

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Academic Journal

Physician Level Assessment of Hirsute Women and of Their Eligibility for Laser Treatment With Deep Learning

Subjects: artificial intelligence; deep learning; dermatology

  • Source: Thomsen , K , Jalaboi , R , Winther , O , Lomholt , H B , Lorentzen , H F , Høgsberg , T , Egekvist , H , Hedelund , L , Jørgensen , S , Frost , S , Bertelsen , T & Iversen , L 2025 , ' Physician

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Academic Journal

Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection

Subjects: Chest CT; Deep learning; Lung nodule risk estimation

  • Source: Peeters , D , Venkadesh , K V , Dinnessen , R , Saghir , Z , Scholten , E T , Vliegenthart , R , Prokop , M & Jacobs , C 2025 , ' Towards safe and reliable deep learning

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