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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

Identification of brain regions predicting epileptogenesis by serial [18F]GE-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy

Vera Russmann, Matthias Brendel, Erik Mille, Angela Helm-Vicidomini et al. • NeuroImage: Clinical (2017)

Excessive activation of inflammatory signaling pathways seems to be a hallmark of epileptogenesis. Positron emission tomography (PET) allows in vivo detection of brain inflammation with spatial information and opportunities for longitudinal...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2017.04.003

Identifying peer experts in online health forums

V.G.Vinod Vydiswaran, Manoj Reddy • BMC Medical Informatics and Decision Making (2019)

Abstract Background Online health forums have become increasingly popular over the past several years. They provide members with a platform to network with peers and share information, experiential advice, and support. Among the members of ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-019-0782-3

Section IV. Medical Informatics

• CRC Press eBooks (2006)

WHAT IS IT? In the summer of 2004 I was invited to lecture at Dartmouth. Dr. Rosen, my host,asked me if I could address my interpretation of Medical Informatics during my lecture. Thispresentation made me review and reflect on some old and ...

OPENALEX DOI: https://doi.org/10.1201/9781420003864-47

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

Uncertainty and Decisions in Medical Informatics

Peter Szolovits • Methods of Information in Medicine (1995)

This paper presents a tutorial introduction to the handling of uncertainty and decision-making in medical reasoning systems. It focuses on the central role of uncertainty in all of medicine and identifies the major themes that arise in rese...

OPENALEX DOI: https://doi.org/10.1055/s-0038-1634594

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

From Connectivity to Controllability: Unraveling the Brain Biomarkers of Major Depressive Disorder

Chunyu Pan, Ying Ma, Lifei Wang, Yan Zhang et al. • Brain Sciences (2024)

Major Depressive Disorder (MDD) is a significant neurological condition associated with aberrations in brain functional networks. Traditional studies have predominantly analyzed these from a network topology perspective. However, given the ...

DOAJ Open Access (DOAJ) DOI: 10.3390/brainsci14050509

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

Modulation of frontal gamma oscillations improves working memory in schizophrenia

Fiza Singh, I-Wei Shu, Sheng-Hsiou Hsu, Peter Link et al. • NeuroImage: Clinical (2020)

Schizophrenia is a debilitating mental disorder that is associated with cognitive deficits. Impairments in cognition occur early in the course of illness and are associated with poor functional outcome, but have been difficult to treat with...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2020.102339

Medical Informatics in Medical Research

Michel Anoumou Missinou, Saadou Issifou, Evelyn Anane‐Sarpong, Ibrahim I Abubakar et al. • Methods of Information in Medicine (2006)

OBJECTIVES: Computers are widely used for data management in clinical trials in the developed countries, unlike in developing countries. Dependable systems are vital for data management, and medical decision making in clinical research. Mon...

OPENALEX DOI: https://doi.org/10.1055/s-0038-1634108

Data on the cytotoxicity of chlorogenic acid in 3D cultures of HT-29 cells

M. Daniela Vélez, Johanna Pedroza-Díaz, Gloria A. Santa-González • Data in Brief (2023)

Functional foods, beyond basic nutrition, offer health benefits to consumers thanks to the presence of bioactive compounds such as some phytochemicals [1,2]. Today, these foods are of particular interest in biomedical research due to their ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2023.109527

Lifestyle Change Interventions for Children and Adolescents With Diabetes or Kidney Disease

Lori L. Sanderson MSW, MPH • Journal of Primary Care & Community Health (2010)

The purpose of this research letter is to report on the availability of evidence-based interventions for promoting lifestyle change in children and adolescents with diabetes or kidney disease. References for this review were obtained using ...

DOAJ Open Access (DOAJ) DOI: 10.1177/2150131909358185

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

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