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Showing 20 of 23,220 academic articles

Dopamine transporter binding in symptomatic controls and healthy volunteers: Considerations for neuroimaging trials

Emma A. Honkanen, Mikael Eklund, Simo Nuuttila, Tommi Noponen et al. • NeuroImage: Clinical (2021)

Objective: To evaluate possible differences between brain dopamine transporter (DAT) binding in a group of symptomatic parkinsonism patients without dopaminergic degeneration and healthy individuals. Background: Dopaminergic neuroimaging st...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2021.102807

Dataset for the dimethyl sulfoxide as a novel thermodynamic inhibitor of carbon dioxide hydrate formation

Anton P. Semenov, Rais I. Mendgaziev, Andrey S. Stoporev, Vladimir A. Istomin et al. • Data in Brief (2022)

The temperatures and pressures of the three-phase equilibrium V-Lw-H (gas – aqueous solution – gas hydrate) were measured in the CO2 – H2O – dimethyl sulfoxide (DMSO) system at concentrations of organic solute in the aqueous phase up to 50 ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2022.108289

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Mário João Fartaria, Tobias Kober, Cristina Granziera, Meritxell Bach Cuadra • NeuroImage: Clinical (2019)

Purpose: The goals of this study were to assess the performance of a novel lesion segmentation tool for longitudinal analyses, as well as to validate the generated lesion progression map between two time points using conventional and non-co...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2019.101938

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

Identifying Applied Aspects, Medical Fields, and Technological Trends in Developing Future Entrepreneurial Opportunities in Telemedicine

Ali Mobini-Dehkordi, Jahangir Yadolai-Farsi, Abolghasem Arabiun, Mustafa Keshavarz-Turk • مدیریت اطلاعات سلامت (2021)

Introduction: Parallel with the growth of technologies, which affect the telemedicine, timely identification of telemedicine entrepreneurial opportunities seems to be necessary for the product development. This study aimed to identify appli...

DOAJ Open Access (DOAJ) DOI: 10.22122/him.v17i6.4230

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

Remote Patient Monitoring System for Polypathological Older Adults at High Risk for Hospitalization: Retrospective Cohort Study

Damien Testa, Israa Salma, Vincent Iborra, Victoire Roussel et al. • Journal of Medical Internet Research (2025)

Abstract BackgroundHealth care systems are increasingly facing challenges posed by the aging of populations. In particular, hospitalization, both initial and subsequent, is often observed among older adult patients. However, res...

DOAJ Open Access (DOAJ) DOI: 10.2196/71527

Classroom Management Strategies of Multigrade Schools with Emphasis on the Role of Technology

Taraneh Enayati, Farshideh Zameni, Mousa Movahedian • Interdisciplinary Journal of Virtual Learning in Medical Sciences (2016)

Introduction : It appears that the effectiveness of a multigrade school class is dependent on the type of class management. Therefore this study aims to determine the classroom management strategies in multigrade schools with emphasis on th...

DOAJ Open Access (DOAJ) DOI: 10.5812/ijvlms.12161

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

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture

Wenchuan Zhang, Shuwan Zhang, Fengling Li, Yuanyuan Zhao et al. • npj Digital Medicine (2026)

Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-026-02849-2