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  1. Acute upper gastrointestinal bleeding (UGIB) is common in clinical practice and has a wide range of severity. Along with medical therapy, endoscopic intervention is the mainstay treatment for hemostasis in hig...

    Authors: Kajornvit Raghareutai, Watcharaporn Tanchotsrinon, Onuma Sattayalertyanyong and Uayporn Kaosombatwattana
    Citation: BMC Medical Informatics and Decision Making 2025 25:145
    Content type: Research Published on:

  2. In the functional assessment of the esophagogastric junction (EGJ), the endoscopic Hill classification plays a pivotal role in classifying the morphology of the gastroesophageal flap valve (GEFV). This study a...

    Authors: Jian Chen, Ganhong Wang, Kaijian Xia, Zhenni Wang, Luojie Liu and Xiaodan Xu
    Citation: BMC Medical Informatics and Decision Making 2025 25:144
    Content type: Research Published on:

  3. The continuously evolving legislative and reporting requirements during the COVID-19 pandemic posed the demand for establishing an efficient real-time human resources management system at the LMU University Ho...

    Authors: Matthias Bonigut, Ana Zhelyazkova, Mathias Weber, Stefanie Geiser-Metz, Markus Geis, Bernhard Heindl and Stephan Prückner
    Citation: BMC Medical Informatics and Decision Making 2025 25:142
    Content type: Research Published on:

  4. Survival analysis is a critical tool in transplantation studies. The integration of machine learning techniques, particularly the Random Survival Forest (RSF) model, offers potential enhancements to predictive...

    Authors: Andrea Garcia-Lopez, Maritza Jiménez-Gómez, Andrea Gomez-Montero, Juan Camilo Gonzalez-Sierra, Santiago Cabas and Fernando Giron-Luque
    Citation: BMC Medical Informatics and Decision Making 2025 25:141
    Content type: Research Published on:

  5. Obesity changes a patient’s pharmacokinetics and pharmacotherapeutic advices should be personalized to ensure proper treatment. Currently, implementations of advices regarding the obese population are lacking ...

    Authors: Lianne Brand, L. Mitrov-Winkelmolen, T. M. Kuijper, T. M. Bosch and L. L. Krens
    Citation: BMC Medical Informatics and Decision Making 2025 25:140
    Content type: Research Published on:

  6. The Mapper algorithm is a data mining topological tool that can help us to obtain higher level understanding of disease by visualising the structure of patient data as a similarity graph. It has been successfu...

    Authors: Ciara F. Loughrey, Sarah Maguire, Paweł Dłotko, Lu Bai, Nick Orr and Anna Jurek-Loughrey
    Citation: BMC Medical Informatics and Decision Making 2025 25:139
    Content type: Research Published on:

  7. Gestational diabetes mellitus (GDM) is one of the most common complications during pregnancy and has been on a continuous increase in recent years. This study aimed to establish a combined prediction model for...

    Authors: Tong Zhu, Lin Tang, Man Qin, Wen-Wen Wang and Ling Chen
    Citation: BMC Medical Informatics and Decision Making 2025 25:138
    Content type: Research Published on:

  8. In this era of active online communication, patients increasingly share their healthcare experiences, concerns, and needs across digital platforms. Leveraging these vast repositories of real-world information,...

    Authors: Hyewon Jeon, Su-Yeon Yu, Olga Chertkova, Hyejung Yun, Yi Lin Ng, Yan Yoong Lim, Irina Efimenko and Djoubeir Mohamed Makhlouf
    Citation: BMC Medical Informatics and Decision Making 2025 25:137
    Content type: Research Published on:

  9. Biomedical semantic relationship extraction could reveal important biomedical entities and the semantic relationships between them, providing a crucial foundation for the biomedical knowledge discovery, clinic...

    Authors: Shirui Yu, Peng Dong, Junlian Li, Xiaoli Tang and Xiaoying Li
    Citation: BMC Medical Informatics and Decision Making 2025 25:136
    Content type: Research Published on:

  10. The HELLP syndrome represents three complications: hemolysis, elevated liver enzymes, and low platelet count. Since the causes and pathogenesis of HELLP syndrome are not yet fully known and well understood, di...

    Authors: Boshra Farajollahi, Mohammadjavad Sayadi, Mostafa Langarizadeh and Ladan Ajori
    Citation: BMC Medical Informatics and Decision Making 2025 25:135
    Content type: Research Published on:

  11. Identification of prognostic factors for diabetes complications are crucial. Glucose variability (GV) and its association with diabetes have been studied extensively but the inclusion of measures of glucose va...

    Authors: Xin Rou Teh, Panu Looareesuwan, Oraluck Pattanaprateep, Anuchate Pattanateepapon, John Attia and Ammarin Thakkinstian
    Citation: BMC Medical Informatics and Decision Making 2025 25:134
    Content type: Research Published on:

  12. Clinical decision support systems (CDSS) frequently exhibit insufficient contextual adaptation, diminishing user engagement. To enhance the sensitivity of CDSS to contextual conditions, it is crucial first to ...

    Authors: Katharina Schuler, Ian-C. Jung, Maria Zerlik, Waldemar Hahn, Martin Sedlmayr and Brita Sedlmayr
    Citation: BMC Medical Informatics and Decision Making 2025 25:133
    Content type: Research Published on:

  13. Artificial intelligence (AI), which emulates human intelligence through knowledge-based heuristics, has transformative impacts across various industries. In the global healthcare sector, there is a pressing ne...

    Authors: Shifat Islam, Rifat Shahriyar, Abhishek Agarwala, Marzia Zaman, Shamim Ahamed, Rifat Rahman, Moinul H. Chowdhury, Farhana Sarker and Khondaker A. Mamun
    Citation: BMC Medical Informatics and Decision Making 2025 25:132
    Content type: Systematic Review Published on:

  14. Hyperuricemia has seen a continuous increase in incidence and a trend towards younger patients in recent years, posing a serious threat to human health and highlighting the urgency of using technological means...

    Authors: Min Fang, Chengjie Pan, Xiaoyi Yu, Wenjuan Li, Ben Wang, Huajian Zhou, Zhenying Xu and Genyuan Yang
    Citation: BMC Medical Informatics and Decision Making 2025 25:131
    Content type: Research Published on:

  15. Gestational Diabetes Mellitus (GDM) is one of the most common medical complications during pregnancy. In the Gulf region, the prevalence of GDM is higher than in other parts of the world. Thus, there is a need...

    Authors: Hesham Zaky, Eleni Fthenou, Luma Srour, Thomas Farrell, Mohammed Bashir, Nady El Hajj and Tanvir Alam
    Citation: BMC Medical Informatics and Decision Making 2025 25:130
    Content type: Research Published on:

  16. Sharing health data holds great potential for advancing medical research but also poses many challenges, including the need to protect people’s privacy. One approach to address this is data anonymization, whic...

    Authors: Mehmed Halilovic, Thierry Meurers, Karen Otte and Fabian Prasser
    Citation: BMC Medical Informatics and Decision Making 2025 25:129
    Content type: Research Published on:

  17. Pseudonymization is an important technique for the secure and compliant use of medical data in research. At its core, pseudonymization is a process in which directly identifying information is separated from m...

    Authors: Hammam Abu Attieh, Armin Müller, Felix Nikolaus Wirth and Fabian Prasser
    Citation: BMC Medical Informatics and Decision Making 2025 25:128
    Content type: Systematic Review Published on:

  18. This study was designed to establish a diagnostic model for osteoporosis by collecting clinical information from patients with and without osteoporosis. Various machine learning algorithms were employed for tr...

    Authors: Guixiong Huang, Weilin Zhu, Yulong Wang, Yizhou Wan, Kaifang Chen, Yanlin Su, Weijie Su, Lianxin Li, Pengran Liu and Xiao dong Guo
    Citation: BMC Medical Informatics and Decision Making 2025 25:127
    Content type: Research Published on:

  20. Many patients with cancer want to be involved in healthcare decisions. For adequate participation, awareness of one’s own desires and preferences and sufficient knowledge about medical measures are indispensab...

    Authors: Lia Schilling, Jana Kaden, Isabel Bán and Birte Berger-Höger
    Citation: BMC Medical Informatics and Decision Making 2025 25:125
    Content type: Research Published on:

  21. As part of qualitative research, the thematic analysis is time-consuming and technical. The rise of generative artificial intelligence (A.I.), especially large language models, has brought hope in enhancing an...

    Authors: Issam Bennis and Safwane Mouwafaq
    Citation: BMC Medical Informatics and Decision Making 2025 25:124
    Content type: Research Published on:

  22. Assessing risk factors and creating prediction models from real-world medical data is challenging, requiring numerous modelling decisions with clinical guidance. Logistic regression is a common model for such ...

    Authors: Brian Sullivan, Edward Barker, Louis MacGregor, Leo Gorman, Philip Williams, Ranjeet Bhamber, Matt Thomas, Stefan Gurney, Catherine Hyams, Alastair Whiteway, Jennifer A. Cooper, Chris McWilliams, Katy Turner, Andrew W. Dowsey and Mahableshwar Albur
    Citation: BMC Medical Informatics and Decision Making 2025 25:123
    Content type: Research Published on:

  23. The data for diagnosing spinal cord disorder (SCD) are complex and often confusing, making it difficult for established diagnostic techniques to yield reliable results. This issue frequently necessitates expen...

    Authors: Muhammad Abdullah, Khuram Ali Khan and Atiqe Ur Rahman
    Citation: BMC Medical Informatics and Decision Making 2025 25:122
    Content type: Research Published on:

  25. Shared decision-making (SDM) is the gold standard for patient-clinician interaction, yet many patients are not actively involved in medical consultations and hesitate to engage in decisions on their health. De...

    Authors: Karin Antonia Scherer, Björn Büdenbender, Anja K. Blum, Britta Grüne, Maximilian C. Kriegmair, Maurice S. Michel and Georg W. Alpers
    Citation: BMC Medical Informatics and Decision Making 2025 25:120
    Content type: Research Published on:

  26. Global healthcare systems face enormous challenges due to the ageing population, demanding novel measures to assure long-term efficacy and viability. The expanding senior population, which requires specialised...

    Authors: Abeer Aljohani
    Citation: BMC Medical Informatics and Decision Making 2025 25:119
    Content type: Research Published on:

  27. Retinal vein occlusion (RVO) is a leading cause of vision loss globally. Routine health check-up data—including demographic information, medical history, and laboratory test results—are commonly utilized in cl...

    Authors: Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo and Kyungmin Koh
    Citation: BMC Medical Informatics and Decision Making 2025 25:118
    Content type: Research Published on:

  28. Large Language Models (LLMs), advanced AI tools based on transformer architectures, demonstrate significant potential in clinical medicine by enhancing decision support, diagnostics, and medical education. How...

    Authors: Sina Shool, Sara Adimi, Reza Saboori Amleshi, Ehsan Bitaraf, Reza Golpira and Mahmood Tara
    Citation: BMC Medical Informatics and Decision Making 2025 25:117
    Content type: Systematic Review Published on:

  29. Clinical decision-making in healthcare often relies on unstructured text data, which can be challenging to analyze using traditional methods. Natural Language Processing (NLP) has emerged as a promising soluti...

    Authors: Fabián Villena, Felipe Bravo-Marquez and Jocelyn Dunstan
    Citation: BMC Medical Informatics and Decision Making 2025 25:116
    Content type: Research Published on:

  30. Clinical machine learning research and artificial intelligence driven clinical decision support models rely on clinically accurate labels. Manually extracting these labels with the help of clinical specialists...

    Authors: Bauke Arends, Melle Vessies, Dirk van Osch, Arco Teske, Pim van der Harst, René van Es and Bram van Es
    Citation: BMC Medical Informatics and Decision Making 2025 25:115
    Content type: Research Published on:

  31. Cellular Communication Network Factor 6 (CCN6) is an adipokine whose production undergoes significant alterations in metabolic disorders. Given the well-established link between obesity-induced adipokine dysfu...

    Authors: Reza Afrisham, Yasaman Jadidi, Nariman Moradi, Seyed Mohammad Ayyoubzadeh, Reza Fadaei, Omid Kiani Ghalesardi, Vida Farrokhi and Shaban Alizadeh
    Citation: BMC Medical Informatics and Decision Making 2025 25:114
    Content type: Research Published on:

  32. Dementia is a neurological syndrome marked by cognitive decline. Alzheimer’s disease (AD) and frontotemporal dementia (FTD) are the common forms of dementia, each with distinct progression patterns. Early and ...

    Authors: Shivani Ranjan, Ayush Tripathi, Harshal Shende, Robin Badal, Amit Kumar, Pramod Yadav, Deepak Joshi and Lalan Kumar
    Citation: BMC Medical Informatics and Decision Making 2025 25:113
    Content type: Research Published on:

  33. Online Healthcare Consulting Services (OHCS) can benefit physicians and patients. However, it is unclear how OHCS and what types of persuasive content enhance patients’ intentions to visit offline. Based on th...

    Authors: Xianye Cao, Yongmei Liu, Zian Fang and Zhangxiang Zhu
    Citation: BMC Medical Informatics and Decision Making 2025 25:112
    Content type: Research Published on:

  34. The necessity for explainability of artificial intelligence technologies in medical applications has been widely discussed and heavily debated within the literature. This paper comprises a systematized review ...

    Authors: Justin Blackman and Richard Veerapen
    Citation: BMC Medical Informatics and Decision Making 2025 25:111
    Content type: Research Published on:

  35. Explainable Artificial Intelligence (XAI) enhances transparency and interpretability in AI models, which is crucial for trust and accountability in healthcare. A potential application of XAI is disease predict...

    Authors: Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani and Mecit Can Emre Simsekler
    Citation: BMC Medical Informatics and Decision Making 2025 25:110
    Content type: Systematic Review Published on:

  36. Algorithms and models increasingly support clinical and shared decision-making. However, they may be limited in effectiveness, accuracy, acceptance, and comprehensibility if they fail to consider patient prefe...

    Authors: Jakub Fusiak, Kousha Sarpari, Inger Ma, Ulrich Mansmann and Verena S. Hoffmann
    Citation: BMC Medical Informatics and Decision Making 2025 25:109
    Content type: Research Published on:

  37. WenXinWuYang, a novel portable Artificial Intelligence Electrocardiogram (AI-ECG) device, can detect many kinds of abnormal heart disease and perform a single-lead ECG, but its reliability and validity among p...

    Authors: Haixue Wang, Jianwei Wang, Wei Jing, Shanshan Dai, Deyun Zhang, Shijia Geng, Haijun Wang and Shenda Hong
    Citation: BMC Medical Informatics and Decision Making 2025 25:108
    Content type: Research Published on:

  38. The government of Ethiopia has designed different initiatives for the Health Information Systems (HIS), including an Information Revolution (IR) transformation agenda by 2015. Various interventions and working...

    Authors: Biniyam Tilahun, Berhanu Fikadie Endehabtu, Amare Minyihun, Tajebew Zayede, Adane Nigusie, Asmamaw Atnafu, Lemma Derseh, Tesfahun Hialemarima and Getasew Amare
    Citation: BMC Medical Informatics and Decision Making 2025 25:107
    Content type: Research Published on:

  39. Duration of surgery (DOS) varies substantially for patients with hip and knee arthroplasty (HA/KA) and is a major risk factor for adverse events. We therefore aimed (1) to identify whether machine learning can...

    Authors: Benedikt Langenberger, Daniel Schrednitzki, Andreas Halder, Reinhard Busse and Christoph Pross
    Citation: BMC Medical Informatics and Decision Making 2025 25:106
    Content type: Research Published on:

  40. Current research on the association between demographic variables and dietary patterns with atherosclerotic cardiovascular disease (ASCVD) is limited in breadth and depth. This study aimed to construct a machi...

    Authors: Qun Tang, Yong Wang and Yan Luo
    Citation: BMC Medical Informatics and Decision Making 2025 25:105
    Content type: Research Published on:

  41. Critical value (CV) management is vital for patient safety and shows the quality of critical care. This study aimed to develop a whole-chain management system (WCMS) for CV reporting and evaluate its impact on...

    Authors: Dongdong Wu, Feng Zhu, Yifan Sheng, Weiwei Zhang, Hanbo Le, Guoqiang Zhang, Lei Wang and Boer Yan
    Citation: BMC Medical Informatics and Decision Making 2025 25:104
    Content type: Research Published on:

  42. Patient-centered, measurable, and transparent care is essential for improving healthcare outcomes, particularly for patients undergoing percutaneous coronary intervention (PCI) procedures. Electronic follow-up...

    Authors: Hassan Rajabi Moghadam, Parsa Rabbani, Majid Mazouchi, Hossein Akbari, Ehsan Nabovati, Soroosh Rabbani and Parissa Bagheri Toolaroud
    Citation: BMC Medical Informatics and Decision Making 2025 25:103
    Content type: Research Published on:

  44. Chronic Obstructive Pulmonary Disease (COPD) is one of the main causes of morbidity and mortality worldwide. Its management represents real economic and public health burdens, accentuated by periods of acute d...

    Authors: Juliana Alves Pegoraro, Antoine Guerder, Thomas Similowski, Philippe Salamitou, Jesus Gonzalez-Bermejo and Etienne Birmelé
    Citation: BMC Medical Informatics and Decision Making 2025 25:101
    Content type: Research Published on:

  45. Authors: Daniel Niguse Mamo, Tesfahun Melese Yilma, Makda Fekadie Tewelgne, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku and Agmasie Damtew Walle
    Citation: BMC Medical Informatics and Decision Making 2025 25:100
    Content type: Correction Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2023 23:75

  46. Staphylococcus aureus bacteremia (SAB) remains a significant contributor to both community-acquired and healthcare-associated bloodstream infections. SAB exhibits a high recurrence rate and mortality rate, lea...

    Authors: Yuan Li, Shuang Song, Liying Zhu, Xiaorun Zhang, Yijiao Mou, Maoxing Lei, Wenjing Wang and Zhen Tao
    Citation: BMC Medical Informatics and Decision Making 2025 25:99
    Content type: Research Published on:

  47. The principles of urgency, utility, and benefit are fundamental concepts guiding the ethical and practical decision-making process for organ allocation; however, LT allocation still follows an urgency model.

    Authors: Lisiane Pruinelli, Kiruthika Balakrishnan, Sisi Ma, Zhigang Li, Anji Wall, Jennifer C. Lai, Jesse D. Schold, Timothy Pruett and Gyorgy Simon
    Citation: BMC Medical Informatics and Decision Making 2025 25:98
    Content type: Systematic Review Published on:

  48. Motivated by the Triple Aim, US health care policy is expanding its focus from individual patient care to include population health management. Health Information Exchanges are positioned to play an important ...

    Authors: Karmen S. Williams, Saurabh Rahurkar, Shaun J. Grannis, Titus K. Schleyer and Brian E. Dixon
    Citation: BMC Medical Informatics and Decision Making 2025 25:97
    Content type: Research Published on:

  49. Post-induction hypotension (PIH) increases surgical complications including myocardial injury, acute kidney injury, delirium, stroke, prolonged hospitalization, and endangerment of the patient's life. Machine ...

    Authors: Ming Chen and Dingyu Zhang
    Citation: BMC Medical Informatics and Decision Making 2025 25:96
    Content type: Research Published on:

  50. Intracranial atherosclerotic stenosis (ICAS) refers to a narrowing of intracranial arteries due to plaque buildup on the inside of the vessel walls restricting blood flow. Early detection of ICAS is crucial to...

    Authors: Luca Bernecker, Liv-Hege Johnsen and Torgil Riise Vangberg
    Citation: BMC Medical Informatics and Decision Making 2025 25:95
    Content type: Research Published on:
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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