MainReads

Discover Books. Explore Knowledge.

Home » Academic Articles & Research Papers

Academic Articles & Research Papers

Search and discover peer-reviewed scholarly literature, open-access articles, and research citations across DOAJ, PubMed Central, and OpenAlex.

Reset
Showing 20 of 1,137 academic articles

Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs

Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health (2022)

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076221120317

Artificial intelligence-driven anthropometric assessment for young children: evaluating the accuracy and practicality of a digital image-based length and weight prediction tool

Fabian Yap, Daniel Chan, Mei Chien Chua, Matthew Hadimaja et al. • BMJ Health & Care Informatics (2025)

Background Monitoring early childhood growth is vital, as growth faltering could indicate nutritional or health issues requiring prompt intervention. Our study’s aim was to assess the performance of a length-weight artificial intelligence (...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjhci-2025-101540

Effectiveness and Related Factors of Narrative Messages in Correcting Health-Related Misinformation: Protocol for a Systematic Review

Tsuyoshi Okuhara, Hiroko Okada, Rie Yokota • JMIR Research Protocols (2025)

BackgroundThe internet and social media have become essential sources of health information for patients and citizens; however, they often disseminate misinformation that lacks scientific evidence. Health-related misinformation can undermin...

DOAJ Open Access (DOAJ) DOI: 10.2196/69414

Implementing and Evaluating a National Integrated Digital Registry and Clinical Decision Support System in Early Intervention in Psychosis Services (Early Psychosis Informatics Into Care): Co-Designed Protocol

Siân Lowri Griffiths, Graham K Murray, Yanakan Logeswaran, John Ainsworth et al. • JMIR Research Protocols (2024)

BackgroundEarly intervention in psychosis (EIP) services are nationally mandated in England to provide multidisciplinary care to people experiencing first-episode psychosis, which disproportionately affects deprived and ethnic minority yout...

DOAJ Open Access (DOAJ) DOI: 10.2196/50177

A method for automatically extracting infectious disease-related primers and probes from the literature

Pérez-Rey David, de la Iglesia Diana, de la Calle Guillermo, López-Campos Guillermo et al. • BMC Bioinformatics (2010)

Abstract Background Primer and probe sequences are the main components of nucleic acid-based detection systems. Biologists use primers and probes for different tasks, some related to the diagnosis and prescription of infectious diseases. Th...

DOAJ Open Access (DOAJ) DOI: 10.1186/1471-2105-11-410

Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study

Ye Kuang, Yan Yu, Jing Li, Chuanmei Peng et al. • BMC Medical Informatics and Decision Making (2026)

Abstract Background Diabetes mellitus (DM) combined with coronary heart disease (CHD) significantly increases the risk of cardiovascular events with a greater mortality rate. Therefore, establishing a predictive model can help DM patients r...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-026-03461-w

Oxygen nanobubbles of ICG dimers achieve self-cascade photothermal and photodynamic therapy for hypoxia-reversible tumor treatment

Xiang Sun, Zheng Zhang, Moran Wang, Yuqin Chen et al. • Nano Research (2025)

Simultaneous photothermal and photodynamic therapies (PTT and PDT) hold great promise for noninvasive tumor therapy. However, effective regulation of PTT and PDT with optimal synergistic effects remains a challenge. To date, there are only ...

DOAJ Open Access (DOAJ) DOI: 10.26599/NR.2025.94907281

Impact of a Mobile App (LoAD Calc) on the Calculation of Maximum Safe Doses of Local Anesthetics: Protocol for a Randomized Controlled Trial

Pietro Elias Fubini, Georges Louis Savoldelli, Tal Sara Beckmann, Caroline Flora Samer et al. • JMIR Research Protocols (2024)

BackgroundLocal anesthetics (LAs) are regularly used to alleviate pain during medical or surgical procedures. Their use is generally considered safe, but exceeding the maximum recommended doses can lead to LA systemic toxicity, a rare but p...

DOAJ Open Access (DOAJ) DOI: 10.2196/53679

Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics

Alireza Kasaie, Suchithra Rajendran • Healthcare Analytics (2023)

This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.health.2023.100242

Functional neuroimaging of visuospatial working memory tasks enables accurate detection of attention deficit and hyperactivity disorder

Rubi Hammer, Gillian E. Cooke, Mark A. Stein, James R. Booth • NeuroImage: Clinical (2015)

Finding neurobiological markers for neurodevelopmental disorders, such as attention deficit and hyperactivity disorder (ADHD), is a major objective of clinicians and neuroscientists. We examined if functional Magnetic Resonance Imaging (fMR...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2015.08.015

Estimation of the probability of daily fluctuations of incidence of COVID-19 according to official data

Andrey Gerasimov, Elena Galkina, Elena Danilova, Irina Ikonnikova et al. • PeerJ (2021)

When studying the dynamics of morbidity and mortality, one should not limit ourselves to analyzing general trends. Interesting information can be obtained from the analysis of deviations in morbidity and mortality from the general dynamics....

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj.11049

Lessons From a Rapid Project Management Exercise in the Time of Pandemic: Methodology for a Global COVID-19 VIRUS Registry Database

Janice R Turek, Vikas Bansal, Aysun Tekin, Shuchita Singh et al. • JMIR Research Protocols (2022)

BackgroundThe rapid emergence of the COVID-19 pandemic globally collapsed health care organizations worldwide. Incomplete knowledge of best practices, progression of disease, and its impact could result in fallible care. Data on symptoms an...

DOAJ Open Access (DOAJ) DOI: 10.2196/27921

The Late Bronze Age settlement site of Březnice: Magnetometer survey data

Martin Kuna, Roman Křivánek, Ondřej Chvojka, Tereza Šálková • Data in Brief (2021)

The archaeological site of Březnice (Czechia) represents one of the large settlements of the Late Bronze Age (Ha A2/B1, 14C: 1124–976 BC) in Bohemia. The site became known mainly for a high number of so-called ‘trenches’, oblong pit feature...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.106793

A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis

Michael Barnett, Dongang Wang, Heidi Beadnall, Antje Bischof et al. • npj Digital Medicine (2023)

Abstract Modern management of MS targets No Evidence of Disease Activity (NEDA): no clinical relapses, no magnetic resonance imaging (MRI) disease activity and no disability worsening. While MRI is the principal tool available to neurologis...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-023-00940-6

Income and education predict elevated depressive symptoms in the general population: results from the Gutenberg health study

Jasmin Schlax, Claus Jünger, Manfred E. Beutel, Thomas Münzel et al. • BMC Public Health (2019)

Abstract Background Socioeconomic status (SES) has a strong association with depression or physical and mental health in general. However, as SES is a multifaceted construct these associations are not easy to explain. Further, there are sev...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12889-019-6730-4

The History and New Trends of Medical Informatics

Izet Mašić • Donald School Journal of Ultrasound in Obstetrics & Gynecology (2013)

ABSTRACT The breakthrough of the computer and information technologies in all the segments of the society, led to the needs for the computer and information technologies. The knowledge of information technology is now part of general litera...

OPENALEX Open Access DOI: https://doi.org/10.5005/jp-journals-10009-1298

Effects of individualized rTMS on functional connectivity related to the default mode network and frontal-parietal network in major depressive disorder: exploratory analysis of a randomized controlled trial

Jing Jin, Yun Wang, Sixiang Liang, Qingchen Fan et al. • NeuroImage: Clinical (2025)

Objective: Repetitive transcranial magnetic stimulation (rTMS) has been shown to alleviate depressive and anxiety symptoms in patients with major depressive disorder (MDD), typically by targeting the dorsolateral (DLPFC) or dorsomedial pref...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2025.103902

Central vein sign: A diagnostic biomarker in multiple sclerosis (CAVS-MS) study protocol for a prospective multicenter trial

D. Ontaneda, P. Sati, P. Raza, M. Kilbane et al. • NeuroImage: Clinical (2021)

The specificity and implementation of current MRI-based diagnostic criteria for multiple sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are eventually determined not to have the disease, with overrelianc...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2021.102834