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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

Indivisibility and Variety of Medical Informatics

Hans-Jürgen Seelos • Methods of Information in Medicine (1988)

Summary In recent editorials it has been pointed out that medical informatics, seen as comprehensive health care informatics, should be understood as the science of information processing and engineering of automated information systems wit...

OPENALEX DOI: https://doi.org/10.1055/s-0038-1635536

An Integrated Approach for Designing and Analyzing Lumbar Vertebral Biomodels with Artificial Disc Replacement

Mhd Ayham Darwich, Katreen Ebrahem, Maysaa Shash, Hasan Mhd Nazha et al. • Applied Mechanics (2023)

This study aims to develop an integrated approach for 3D lumbar vertebral biomodel design and analysis, specifically targeting unilevel disc degeneration and the replacement of lumbar artificial discs. Key objectives include improving exist...

DOAJ Open Access (DOAJ) DOI: 10.3390/applmech4040063

Image-Based RCS Estimation from Near-Field Data

Tushar Rajvanshi, Maria Antonia Maisto, Angela Dell’Aversano, Raffaele Solimene • Journal of Imaging (2019)

This paper deals with the problem of estimating the RCS from near-field data by image-based approaches. In particular, a rigorous focusing procedure based on a weighted adjoint scheme, which is also applicable to an arbitrary measurement cu...

DOAJ Open Access (DOAJ) DOI: 10.3390/jimaging5060061

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

Theory, Abstraction and Design in Medical Informatics

F. Martín, J Crespo, Holger Billhardt, Víctor Maojo • Methods of Information in Medicine (2002)

OBJECTIVE: To analyze the scientific and engineering components of Medical Informatics. A clear characterization of these components should be undertaken to categorize different areas of Medical Informatics and create a research agenda for ...

OPENALEX Open Access DOI: https://doi.org/10.1055/s-0038-1634312

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

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

In silico analysis of ciprofloxacin analogs as inhibitors of DNA gyrase of Staphylococcus aureus

Md. Rakhibul Hasan, Surid Mohammad Chowdhury, Md. Abdul Aziz, Asif Shahriar et al. • Informatics in Medicine Unlocked (2021)

In this in silico study, thirty-five ciprofloxacin analogs were docked to the active site of DNA gyrase, the prime target of ciprofloxacin type antibiotics. Prior to docking all the structures were optimized using MM2 force field parameters...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.imu.2021.100748

Structural relationships within medical informatics

Theodore Allan Morris, Katherine Wootton McCain (2001)

Medical informatics is the application of information science and information technology to the theoretical and practical problems of biomedical research, clinical practice, and medical education. Although it is broadly interdisciplinary, i...

OPENALEX public-domain DOI: https://doi.org/10.17918/00009917 PMC: 2243843

Datasets associated with investigating the potential for beneficial reuse of produced water from oil and gas extraction outside of the energy sector

Bridget R. Scanlon, Robert C. Reedy, Pei Xu, Mark Engle et al. • Data in Brief (2020)

The data in this report are associated with https://doi.org/10.1016/j.scitotenv.2020.137085 [4] and include data on water volumes and water quality related to the major unconventional oil and gas plays in the U.S. The data include volumes o...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2020.105406

Multi-label classification of fundus images based on graph convolutional network

Yinlin Cheng, Mengnan Ma, Xingyu Li, Yi Zhou • BMC Medical Informatics and Decision Making (2021)

Abstract Background Diabetic Retinopathy (DR) is the most common and serious microvascular complication in the diabetic population. Using computer-aided diagnosis from the fundus images has become a method of detecting retinal diseases, but...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-021-01424-x

Artificial Intelligence And Medical Informatics

Bruce I. Blum • Journal of Clinical Engineering (1985)

This review considers the role of artificial intelligence (AI) in medical informatics. It begins by describing artificial intelligence and then places it in the context of medical computing. Knowledge processing is emphasized. Following a b...

OPENALEX DOI: https://doi.org/10.1097/00004669-198504000-00004

Fusing content and social relationships: a multi-modal heterogeneous graph transformer approach for social bot detection

Jianhong Luo, Chaoqi Jin • EPJ Data Science (2025)

Abstract Social bots pose a significant threat to online platforms, demanding robust methods to detect their increasingly complex behaviors. This paper introduces MM-HGT-Bot, a multi-modal framework that advances the field by operationalizi...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjds/s13688-025-00583-5

Adaptive frequency band attention-guided CNN–BiLSTM for Spatial–Spectral–Temporal EEG emotion recognition

Rabita Hasan, Sheikh Md. Rabiul Islam • Brain Informatics (2026)

Abstract Electroencephalography (EEG)-based emotion recognition has gained increasing attention in affective computing because EEG provides high temporal resolution and reflects intrinsic neural activity. However, reliable emotion recogniti...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40708-026-00319-9