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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

Modelling the effect of subcellular mutations on the migration of cells in the colorectal crypt

Lotte B. Romijn, Axel A. Almet, Chin Wee Tan, James M. Osborne • BMC Bioinformatics (2020)

Abstract Background Many cancers arise from mutations in cells within epithelial tissues. Mutations manifesting at the subcellular level influence the structure and function of the tissue resulting in cancer. Previous work has proposed how ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-020-3391-3

The Role of iSchools in Medical Informatics

Saira Naim Haque, Carsten S. Østerlund, Madhu C Reddy • Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) (2010)

Similar to iSchools, healthcare is an interdisciplinary field that encompasses heterogeneous environments (e.g., hospitals, clinics, home) and perspectives. However, medical informatics research focuses mainly on technical solutions to narr...

OPENALEX

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

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

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

Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study

Yongtai Liu, Zhijun Yin, Congning Ni, Chao Yan et al. • Journal of Medical Internet Research (2023)

BackgroundBy the end of 2022, more than 100 million people were infected with COVID-19 in the United States, and the cumulative death rate in rural areas (383.5/100,000) was much higher than in urban areas (280.1/100,000). As the pandemic s...

DOAJ Open Access (DOAJ) DOI: 10.2196/42985

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

A Focus on Simulation in Medical Informatics

James G. Anderson • Journal of the American Medical Informatics Association (2002)

This special issue of JAMIA addresses simulation, a methodology that holds great promise for the advancement of information technology in health care. Simulation has been termed a third domain, complementing both natural language and mathem...

OPENALEX Open Access DOI: https://doi.org/10.1197/jamia.m1167 PMC: 346642

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

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

Healthcare Management and the Humanities: An Invitation to Dialogue

Nathan M. Gerard • International Journal of Environmental Research and Public Health (2021)

Throughout the fields of medicine and organization studies, there are growing indications of the value of the humanities for enriching scholarship, education, and practice. However, the field of healthcare management has yet to consider the...

OPENALEX cc-by DOI: https://doi.org/10.3390/ijerph18136771 PMC: 8296922

Tracking the healthcare management landscape: implications for integrated healthcare management and practice

A. Dwivedi, R.K. Bali, Raouf N.G. Naguib, Vikraman Baskaran et al. • Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2004)

The objective of this paper is to examine the feasibility of incorporating the Knowledge Management (KM) paradigm in healthcare. We discuss whether it would be beneficial for healthcare organisations to adopt the KM paradigm so as to facili...

OPENALEX DOI: https://doi.org/10.1109/iembs.2003.1279480

Healthcare Management

William R. Roche • Oxford University Press eBooks (2018)

Doctors are familiar with the professional regulation of their practice and behaviour through the General Medical Council and for their liabilities under civil law in the event that a patient comes to harm. The public outcry in response to ...

OPENALEX DOI: https://doi.org/10.1093/med/9780198749851.003.0012

Why do healthcare professionals fail to escalate as per the early warning system (EWS) protocol? A qualitative evidence synthesis of the barriers and facilitators of escalation

S. M. O’Neill, B. Clyne, M. Bell, A. Casey et al. • BMC Emergency Medicine (2021)

Abstract Background Early warning systems (EWSs) are used to assist clinical judgment in the detection of acute deterioration to avoid or reduce adverse events including unanticipated cardiopulmonary arrest, admission to the intensive care ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12873-021-00403-9