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Academic Articles & Research Papers
Showing 20 of 2,141 academic articles
Fonvig CE, Larsen RF, Lyng M, Kallmeyer JV et al. • BMJ open
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1136/bmjopen-2026-121993
PMC: PMC13735311
Ewoud Pons, Loes Braun, M. G. Myriam Hunink, Jan A. Kors • Radiology
(2016)
Radiological reporting has generated large quantities of digital content within the electronic health record, which is potentially a valuable source of information for improving clinical care and supporting research. Although radiology repo...
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DOI: https://doi.org/10.1148/radiol.16142770
Saskia Locke, Anthony Bashall, Sarah Al-Adely, John Moore et al. • Trends in Anaesthesia and Critical Care
(2021)
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DOI: https://doi.org/10.1016/j.tacc.2021.02.007
Binggui Zhou, Guanghua Yang, Zheng Shi, Shaodan Ma • IEEE Reviews in Biomedical Engineering
(2022)
Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare scenarios. As an essential technology powered by AI, natural ...
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Open Access
DOI: https://doi.org/10.1109/rbme.2022.3210270
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond et al. • arXiv (Cornell University)
(2019)
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining. Transformer architectures have facilitated building higher-capacity models and pretraining has made it possible to ...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1910.03771
Salvatore Claudio Fanni, Maria Febi, Gayanè Aghakhanyan, Emanuele Neri • Imaging informatics for healthcare professionals
(2023)
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DOI: https://doi.org/10.1007/978-3-031-25928-9_5
Wen-wai Yim, Meliha Yetişgen, William Proctor Harris, Sharon W. Kwan • JAMA Oncology
(2016)
IMPORTANCE: Natural language processing (NLP) has the potential to accelerate translation of cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of personalized medicine. This technology can harvest im...
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DOI: https://doi.org/10.1001/jamaoncol.2016.0213
Jukić A, Pavan J, Žužul RK, Ivančić BĐ et al. • Journal of ophthalmology
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1155/joph/8100180
PMC: PMC13725069
Grzegorz Mrugacz, Aleksandra Mospinek, Małgorzata Jagielska, Dariusz Miszczak et al. • Biology
(2025)
Background: Artificial Intelligence (AI) has emerged as a transformative tool in in vitro fertilization (IVF) as it has done in other sectors. In IVF, AI offers advancements in embryo selection, treatment personalization, and outcome predic...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/biology15010042
• Elsevier eBooks
(2018)
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DOI: https://doi.org/10.1016/c2016-0-05081-7
Iyad Almadani, Brandon Ramos, Mohammed Abuhussein, Aaron L. Robinson • Digital
(2024)
Traditional methods for predicting sow reproductive cycles are not only costly but also demand a larger workforce, exposing workers to respiratory toxins, repetitive stress injuries, and chronic pain. This occupational hazard can even lead ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/digital4020022
Ali HI, Abdeen SMM, Ewise HS • Nursing open
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1002/nop2.70978
PMC: PMC13728324
Buhari Salisu • International Journal of AI and Advanced Computing
(2026)
The rapid advancement of Artificial Intelligence (AI), wearable computing, and Internet of Things (IoT) technologies has significantly transformed digital interactions across various sectors. However, the adoption of smart wearable technolo...
DOAJ
Open Access (DOAJ)
DOI: 10.5281/zenodo.21981139
Behrooz Kamgar-Parsi, Behzad Kamgar-Parsi • IEEE Transactions on Pattern Analysis and Machine Intelligence
(1989)
Due to the important role that digitization error plays in the field of computer vision, a careful analysis of its impact on the computational approaches used in the field is necessary. The authors develop the mathematical tools for the com...
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DOI: https://doi.org/10.1109/34.35496
Junfeng Gao, Yong Yang, Pan Lin, Dong Sun Park • Journal of Healthcare Engineering
(2018)
The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in...
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DOI: https://doi.org/10.1155/2018/5157020
PMC: 5857319
Hendlmeier I, Schäufele M, Meuer P, Büchele G et al. • Trials
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1186/s13063-026-10039-4
PMC: PMC13729361
Siham Essahraui, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui et al. • IEEE Access
(2025)
Human Behavior Analysis (HBA) has emerged as a critical interdisciplinary field, combining psychology, sociology, artificial intelligence, and data science to model, understand, and predict human behavior across diverse domains. This paper ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3589938
Dowers KH, Jurewicz KA • Journal of infection prevention
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1177/17571774251394887
PMC: PMC12588962
Sudhakaran Pradeep, Koushik V.S.K., Charan N., M. Preetha • E3S Web of Conferences
(2024)
The aim of computer vision techniquesand deep learning in the era of digitalization is to derive valuable insights from them and generate novel understanding. This makes it possible to employ imaging to quickly diagnose and treat a variety ...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/e3sconf/202449103003
Connor J. C. McGuirk, Natalie Baddour, Edward D. Lemaire • Computation
(2021)
New artificial intelligence- (AI) based marker-less motion capture models provide a basis for quantitative movement analysis within healthcare and eldercare institutions, increasing clinician access to quantitative movement data and improvi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computation9120130