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Academic Articles & Research Papers
Showing 20 of 817 academic articles
Shazia Fathima J.H, Mohammed Sibgatullah, Mohmed Isaqali Karobari • International Journal of Qualitative Methods
(2026)
Objective This systematic review protocol aims to synthesize evidence on artificial intelligence-driven analysis of salivary biomarkers for the detection, risk stratification and differentiation of OPMDs and OSCC, with particular attention ...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/16094069261504893
Khaled Moghalles, Zaid Al-Huda, Dalal AL-Alimi, Yeong Hyeon Gu et al. • Scientific Reports
(2025)
Abstract The automated segmentation of buildings from remotely sensed imagery has undergone extensive research and application across various industrial domains. Despite this, several challenges persist, including incomplete internal extrac...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-13890-8
Kecheng Huang, Chujun Wu, Rongpeng Pi, Jieyu Fang • JMIR Medical Informatics
(2025)
This viewpoint article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning with multimodal clinical data, including lung imaging, pulmonary function...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/73995
Олександр Саленко, Віктор Черняк, Вадим Орел, Богдан Саленко • Mechanics and Advanced Technologies
(2026)
The paper considers a device in which information about the presence of a foreign body a fragment in a wound is obtained using a special compact sensor: a mechanical elastic flexible rod, which is placed in a protective soft tube and connec...
DOAJ
Open Access (DOAJ)
DOI: 10.20535/2521-1943.2026.10.1(108).344614
Tyler John Loftus, Patrick James Tighe, Amanda C. Filiberto, Philip Alexander Efron et al. • JAMA Surgery
(2019)
Importance: Surgeons make complex, high-stakes decisions under time constraints and uncertainty, with significant effect on patient outcomes. This review describes the weaknesses of traditional clinical decision-support systems and proposes...
OPENALEX
Open Access
DOI: https://doi.org/10.1001/jamasurg.2019.4917
PMC: 7286802
Yu Wang • Discover Artificial Intelligence
(2026)
Abstract Adaptive digital therapies are needed with increasing rates of youth anxiety. However, existing systems lack personalization and dynamic learning. To solve this, the proposed research is to build a personalized ideological content ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01840-w
Ahmed A. Madfa, Abdullah F. Alshammari, Bassam A. Anazi, Yousef E. Alenezi et al. • Frontiers in Oral Health
(2026)
IntroductionArtificial intelligence (AI), particularly large language models (LLMs), is transforming healthcare education and clinical decision-making. While models like ChatGPT and Claude have demonstrated utility in medical contexts, thei...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/froh.2025.1686090
Hansong Zhu, Si Chen, Weixia Qin, Joldosh Aynur et al. • BMC Infectious Diseases
(2024)
Abstract Objective At different times, public health faces various challenges and the degree of intervention measures varies. The research on the impact and prediction of meteorology factors on influenza is increasing gradually, however, th...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12879-024-09750-x
Rieke Löper, Lennart Abels, Daniel Otero Baguer, Felix Bremmer et al. • Dermatopathology
(2025)
Lentigo maligna (LM) is a melanoma in situ with high cumulative sun damage. Histological evaluation of resection margins is difficult and time-consuming. Melanocyte density (MD) is a suitable, quantifiable, and reproducible diagnostic crite...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/dermatopathology13010001
Stefano Puntoni, Rebecca Walker Reczek, Markus Giesler, Simona Botti • Journal of Marketing
(2020)
Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-ac...
OPENALEX
Open Access
DOI: https://doi.org/10.1177/0022242920953847
Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee • Discover Internet of Things
(2025)
Abstract Deep learning-based intrusion detection systems (DL-IDS) have proven effective in detecting cyber threats. However, their vulnerability to adversarial attacks and environmental noise, particularly in industrial settings, limits pra...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43926-025-00100-0
Nan Xiang, Wenjing Yang, Xindi Rao • Scientific Reports
(2024)
Abstract Traditional social link prediction models primarily concentrate on the adjacency features of the network, overlooking the rich high-order structural information within. Therefore, the study of effective extraction and encoding of t...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-80509-9
Uttam U. Deshpande, Supriya Shanbhag, Ramesh Koti, Ameet Chate et al. • Frontiers in Computer Science
(2025)
Phone calls are strictly forbidden in certain locations due to the potential security threats. Mobile phones’ growing capabilities have also increased the risk of their misuse in places that are restricted, like manufacturing plants. Unauth...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fcomp.2025.1535775
Qian Zhang, Jie Lu B, Yaochu Jin • Complex & Intelligent Systems
(2020)
Abstract Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intel...
OPENALEX
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DOI: https://doi.org/10.1007/s40747-020-00212-w
Sadettin Y. Ugurlu, David McDonald, Huangshu Lei, Alan M. Jones et al. • Journal of Cheminformatics
(2024)
Abstract Probing the surface of proteins to predict the binding site and binding affinity for a given small molecule is a critical but challenging task in drug discovery. Blind docking addresses this issue by performing docking on binding r...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13321-023-00793-x
Faezeh Aghamirzaei, Ahmad Ali Abin, Farzaneh Futuhi • Archives of Academic Emergency Medicine
(2025)
Introduction: Acute Kidney Injury (AKI) is a severe complication of vancomycin treatment due to its nephrotoxic effects. However, research on predicting AKI in this high-risk group remains limited. This study presents a stacking ensemble ma...
DOAJ
Open Access (DOAJ)
DOI: 10.22037/aaemj.v13i1.2560
Diego D. Díaz-Guerra, Marena de la C. Hernández-Lugo, Yunier Broche-Pérez, Carlos Ramos-Galarza et al. • Frontiers in Psychiatry
(2025)
IntroductionEvaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificia...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpsyt.2024.1516065
Uyanga Dorjsembe, Ju Hong Lee, Bumghi Choi, Jae Won Song • Computers
(2021)
Deep neural networks have achieved almost human-level results in various tasks and have become popular in the broad artificial intelligence domains. Uncertainty estimation is an on-demand task caused by the black-box point estimation behavi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computers10040054
Esther Oyaga-Iriarte, Asier Insausti, Onintza Sayar, Azucena Aldaz • Journal of Pharmacological Sciences
(2019)
Irinotecan (CPT-11) is a drug used against a wide variety of tumors, which can cause severe toxicity, possibly leading to the delay or suspension of the cycle, with the consequent impact on the prognosis of survival. The main goal of this w...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jphs.2019.03.004
Lijo Jacob Varghese, Suma Sira Jacob, Jaisiva Selvaraj, Tefera Mekonnen Azerefegn • Scientific Reports
(2025)
Abstract This article describes a method for improving power grid voltage profiles by more effectively regulating reactive power through the integration of hybrid renewable energy systems (HRES) in smart grids. The unpredictable nature of r...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-24751-9