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Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Tongtong Huo, Wei Wu, Xiaoliang Chen, Mingdi Xue et al. • Intelligent Oncology (2025)

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.intonc.2025.06.005

Data Mining Techniques in Medical Informatics

U. Rajendra Acharya, Wenwei Yu • The Open Medical Informatics Journal (2010)

The advent of high-performance computing has benefited various disciplines in finding practical solutions to their problems, and our health care is no exception to this.Signal processing, image processing, and data mining tools have been de...

OPENALEX cc-by-nc DOI: https://doi.org/10.2174/1874431101004010021 PMC: 2916206

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

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

Early Retinal Microvascular Alterations in Young Type 1 Diabetic Patients without Clinical Retinopathy

Alexandra Oltea Dan, Alin Ștefănescu-Dima, Andrei Teodor Bălășoiu, Ileana Puiu et al. • Diagnostics (2023)

The purpose of this study is to identify and quantify preclinical changes with the help of optical coherence tomography angiography (OCTA) within the retinal microcirculation of young type 1 diabetes (T1D) patients without clinical signs of...

DOAJ Open Access (DOAJ) DOI: 10.3390/diagnostics13091648

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

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

Future History: Medical Informatics in Geriatrics

Jonathan R. Nebeker, John F. Hurdle, Byron D. Bair • The Journals of Gerontology Series A (2003)

With deference to Isaac Asimov's The Foundation, which is the inspiration for this series, we briefly describe the "present history" of medical informatics (the application of information technology in medicine) in geriatrics, and then proj...

OPENALEX DOI: https://doi.org/10.1093/gerona/58.9.m820

Requirements for Vitiligo Registry Design in Iran: A Qualitative Content Analysis Study

Zahra Arabkermani, Roxana Sharifian, Peivand Bastani, Azadeh Bashiri et al. • Journal of Health Sciences and Surveillance System (2025)

Background: Vitiligo is a prevalent skin disorder that has significant biological and social consequences for the affected individuals. Therefore, appropriate measures should be taken to diagnose this disease and treat patients, and powerfu...

DOAJ Open Access (DOAJ) DOI: 10.30476/jhsss.2024.101583.1884

The Effectiveness of Digital Therapeutics Intervention in Oral Anticoagulation Management: A Systematic Review and Meta-analysis

Jiayue Guo, MPH, Lili You, PhD, Lu Liu, MPH, Xitong Jiao, MPH et al. • Mayo Clinic Proceedings: Digital Health (2026)

Objective: To summarize the key intervention characteristics and evaluate the effectiveness and safety of digital therapeutics (DTx) in patients receiving oral anticoagulation, with effectiveness evaluated using time in therapeutic range (T...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.mcpdig.2026.100336

Combining Digital Cognitive Behavioral Therapy With Mindfulness Training for Binge Eating Disorder: Protocol for a Feasibility Trial

Margaret Sala, Corey Roos, Dante Ascarrunz, Casey M Stern et al. • JMIR Research Protocols (2026)

BackgroundCognitive behavioral therapy (CBT) is the most effective treatment for binge eating disorder (BED) but is limited by modest efficacy and low reach of in-person delivery. Combining mindfulness training with CBT could enhance effica...

DOAJ Open Access (DOAJ) DOI: 10.2196/91761

Identifying urban features for vulnerable road user safety in Europe

Marina Klanjčić, Laetitia Gauvin, Michele Tizzoni, Michael Szell • EPJ Data Science (2022)

Abstract One of the targets of the UN Sustainable Development Goals is to substantially reduce the number of global deaths and injuries from road traffic collisions. To this aim, European cities adopted various urban mobility policies, whic...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjds/s13688-022-00339-5

The influence of patient characteristics on the alarm rate in intensive care units: a retrospective cohort study

Zeena-Carola Sinno, Denys Shay, Jochen Kruppa, Sophie A.I. Klopfenstein et al. • Scientific Reports (2022)

Abstract Intensive care units (ICU) are often overflooded with alarms from monitoring devices which constitutes a hazard to both staff and patients. To date, the suggested solutions to excessive monitoring alarms have remained on a research...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-022-26261-4

i-MoMCARE: AI-enabled mobile app for maternal and child health care in Cambodia – a pilot implementation and evaluation study

Vonthanak Saphonn, Siyan Yi, Chhavarath Dary, Sreymom Oy et al. • BMJ Health & Care Informatics (2026)

Objectives In Cambodia, village health support groups (VHSGs) are central to maternal and child health (MCH) service delivery, yet maternal mortality remains high with regional disparities. Although digital health solutions show promise, th...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjhci-2025-101691

German Medical Informatics Initiative

Sebastian Claudius Semler, Frank Wissing, Ralf Heyder • Methods of Information in Medicine (2018)

This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. The Medical Informatics Initiative (MII) was launched within the scope of the German Federal Ministry of Education a...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.3414/me18-03-0003 PMC: 6178199

Electronic symptom monitoring of patient-reported outcomes among patients with hepatocellular carcinoma during immunotherapy (PRIME-HCC): protocol for a randomised controlled trial

Yanshang Wang, Xiaoping Wei • BMJ Open (2026)

Introduction Electronic patient-reported outcome (ePROs)-based symptom monitoring benefits health-related quality of life (HRQoL) in various cancers. However, despite the high disease and economic burden of hepatocellular carcinoma (HCC) an...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjopen-2026-116199