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Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure
Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure
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Results 1-7 of 7 (Search time: 0.002 seconds).
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Issue Date
Title
Author(s)
13-Feb-2023
The Role of an Artificial Intelligence Method of Improving the Diagnosis of Neoplasms by Colonoscopy
Vilkoite, Ilona
;
Tolmanis, Ivars
;
Meri, Hosams Abu
;
Polaka, Inese
;
Mezmale, Linda
;
Anarkulova, Linda
;
Leja, Marcis
;
Lejnieks, Aivars
;
Department of Doctoral Studies
;
Department of Internal Diseases
10-Jul-2022
Artificial Intelligence for Thyroid Nodule Characterization : Where Are We Standing?
Sorrenti, Salvatore
;
Dolcetti, Vincenzo
;
Radzina, Maija
;
Bellini, Maria Irene
;
Frezza, Fabrizio
;
Munir, Khushboo
;
Grani, Giorgio
;
Durante, Cosimo
;
D'Andrea, Vito
;
David, Emanuele
;
Calò, Pietro Giorgio
;
Lori, Eleonora
;
Cantisani, Vito
Oct-2023
Modular Neural Networks for Osteoporosis Detection in Mandibular Cone-Beam Computed Tomography Scans
Namatevs, Ivars
;
Nikulins, Arturs
;
Edelmers, Edgars
;
Neimane, Laura
;
Slaidiņa, Anda
;
Radziņš, Oskars
;
Sudars, Kaspars
;
Department of Morphology
;
Institute of Anatomy and Anthropology
;
Department of Conservative Dentistry and Oral Health
;
Department of Prosthetic Dentistry
;
Department of Orthodontics
Dec-2023
Multiomics tools for improved atherosclerotic cardiovascular disease management
EU-AtheroNET COST Action CA21153
;
Sopic, Miron
;
Vilne, Baiba
;
Gerdts, Eva
;
Devaux, Yvan
;
Magni, Paolo
;
Bioinformatics Group
15-Jan-2024
Automatization of CT Annotation : Combining AI Efficiency with Expert Precision
Edelmers, Edgars
;
Kazoka, Dzintra
;
Bolocko, Katrina
;
Sudars, Kaspars
;
Pilmane, Mara
;
Institute of Anatomy and Anthropology
20-Dec-2023
Exploring the Joint Potential of Inflammation, Immunity, and Receptor-Based Biomarkers for Evaluating ME/CFS Progression
Berķis, Uldis
;
Svirskis, Šimons
;
Krūmiņa, Angelika
;
Grāvelsiņa, Sabīne
;
Vilmane, Anda
;
Arāja, Diāna
;
Nora-Krūkle, Zaiga
;
Murovska, Modra
;
Development and Project Department
;
Institute of Microbiology and Virology
;
Department of Infectology
11-Apr-2022
Could Artificial Intelligence/Machine Learning and Inclusion of Diet-Gut Microbiome Interactions Improve Disease Risk Prediction? Case Study : Coronary Artery Disease
Vilne, Baiba
;
Ķibilds, Juris
;
Siksna, Inese
;
Lazda, Ilva
;
Valciņa, Olga
;
Krūmiņa, Angelika
;
Bioinformatics Group
;
Department of Infectology
Discover
Author
2
Edelmers, Edgars
2
Krūmiņa, Angelika
2
Sudars, Kaspars
2
Vilne, Baiba
1
Anarkulova, Linda
1
Arāja, Diāna
1
Bellini, Maria Irene
1
Berķis, Uldis
1
Bolocko, Katrina
1
Calò, Pietro Giorgio
.
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Subject
7
1.1. Scientific article indexed i...
5
SDG 3 - Good Health and Well-being
3
3.1 Basic medicine
3
3.2 Clinical medicine
3
machine learning
2
1.2 Computer and information scie...
2
2.6 Medical engineering
2
3.3 Health sciences
1
5.2 Economy and Business
1
5.4 Sociology
.
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Date issued
1
2024
4
2023
2
2022