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  1. We aimed to propose a deep-learning neural network model for automatically detecting five landmarks during a two-dimensional (2D) ultrasonography (US) scan to develop a standard plane for developmental dysplas...

    Authors: Kyung-Sik Ahn, Ji Hye Choi, Heejou Kwon, Seoyeon Lee, Yongwon Cho and Woo Young Jang
    Citation: BMC Medical Informatics and Decision Making 2025 25:91
    Content type: Research Published on:

  2. Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus. Early identification of individuals at high risk of DPN is essential for successful early intervention. Traditional Ch...

    Authors: Zhikui Tian, JiZhong Zhang, Yadong Fan, Xuan Sun, Dongjun Wang, XiaoFei Liu, GuoHui Lu and Hongwu Wang
    Citation: BMC Medical Informatics and Decision Making 2025 25:90
    Content type: Research Published on:

  3. The exponential growth in patient data collection by healthcare providers, governments, and private industries is yielding large and diverse datasets that offer new insights into critical medical questions. Le...

    Authors: Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi and Arianna Dagliati
    Citation: BMC Medical Informatics and Decision Making 2025 25:89
    Content type: Software Published on:

  4. Migraine is a neurological disorder that affects millions of people worldwide. It is one of the most debilitating disorders which leads to many disability-adjusted life years. Conventional methods for investig...

    Authors: Marija Stojchevska, Jonas Van Der Donckt, Nicolas Vandenbussche, Mathias De Brouwer, Koen Paemeleire, Femke Ongenae and Sofie Van Hoecke
    Citation: BMC Medical Informatics and Decision Making 2025 25:88
    Content type: Research Published on:

  5. Healthcare interventions are shaped by the resources needed to implement them, including staff time. This study, part of a process evaluation, aims to compare time spent on antenatal care (ANC) and related rec...

    Authors: Emma Radovich, Seema Das, Sulata Karki, Christian Bottomley, Ona L. McCarthy, Abha Shrestha, Loveday Penn-Kekana, Rajani Shakya, Biraj Man Karmacharya, Abha Shrestha, Oona M. R. Campbell and Giorgia Gon
    Citation: BMC Medical Informatics and Decision Making 2025 25:87
    Content type: Research Published on:

  6. Unwanted random variability in day-to-day decision making referred to as ‘noise’ is associated with unhelpful variation that affects both the reproducibility and quality of decision making. Although this is de...

    Authors: Kayla V. Dlugos, Mjaye Mazwi, Robert Lao and Osami Honjo
    Citation: BMC Medical Informatics and Decision Making 2025 25:86
    Content type: Systematic Review Published on:

  7. The clinical information housed within unstructured electronic health records (EHRs) has the potential to promote cancer research. The National Cancer Center Hospital (NCCH) is widely recognized as a leading i...

    Authors: Toshiki Takeuchi, Hidehito Horinouchi, Ken Takasawa, Masami Mukai, Ken Masuda, Yuki Shinno, Yusuke Okuma, Tatsuya Yoshida, Yasushi Goto, Noboru Yamamoto, Yuichiro Ohe, Mototaka Miyake, Hirokazu Watanabe, Masahiko Kusumoto, Takashi Aoki, Kunihiro Nishimura…
    Citation: BMC Medical Informatics and Decision Making 2025 25:85
    Content type: Research Published on:

  8. Identifying key variables is essential for developing clinical outcome prediction models based on high-dimensional electronic medical records (EMR). However, despite the abundance of feature selection (FS) met...

    Authors: Hongnian Wang, Mingyang Zhang, Liyi Mai, Xin Li, Abdelouahab Bellou and Lijuan Wu
    Citation: BMC Medical Informatics and Decision Making 2025 25:84
    Content type: Research Published on:

  9. Depressive disorder, particularly major depressive disorder (MDD), significantly impact individuals and society. Traditional analysis methods often suffer from subjectivity and may not capture complex, non-lin...

    Authors: Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran and Michihiro Araki
    Citation: BMC Medical Informatics and Decision Making 2025 25:83
    Content type: Research Published on:

  10. De-identification of clinical notes is essential to utilize the rich information in unstructured text data in medical research. However, only limited work has been done in removing personal information from cl...

    Authors: Jiyong An, Jiyun Kim, Leonard Sunwoo, Hyunyoung Baek, Sooyoung Yoo and Seunggeun Lee
    Citation: BMC Medical Informatics and Decision Making 2025 25:82
    Content type: Research Published on:

  12. Ankle injuries in parcel delivery workers (PDWs) are most often caused by trips. Ankle sprains have high recurrence rates and are associated with chronic ankle instability (CAI). This study aimed to develop, d...

    Authors: Ui-jae Hwang, Oh-yun Kwon, Jun-hee Kim and Gyeong-tae Gwak
    Citation: BMC Medical Informatics and Decision Making 2025 25:80
    Content type: Research Published on:

  13. We recognized a paucity of accessible, evidence-based, empowering patient-centred resources for those with endometriosis-associated dyspareunia. Affecting more than 50% of people with endometriosis, dyspareuni...

    Authors: Gurkiran Parmar, A. Fuchsia Howard, Heather Noga, Leah Tannock, Abdul-Fatawu Abdulai, Catherine Allaire, Sarah Lett, Jessica Sutherland, Edurne Lopez de Arbina, Lone Hummelshoj, Phillipa Bridge-Cook and Paul J. Yong
    Citation: BMC Medical Informatics and Decision Making 2025 25:79
    Content type: Research Published on:

  15. Chronic Obstructive Pulmonary Disease (COPD) represents a significant global health challenge, placing considerable burdens on healthcare systems. The rise of digital health technologies (DHTs) and artificial ...

    Authors: Zhenli Chen, Jie Hao, Haixia Sun, Min Li, Yuan Zhang and Qing Qian
    Citation: BMC Medical Informatics and Decision Making 2025 25:77
    Content type: Systematic Review Published on:

  16. Despite substantial progress in maternal and neonatal health, Rwanda’s mortality rates remain high, necessitating innovative approaches to meet health related Sustainable Development Goals (SDGs). By leveragin...

    Authors: Muzungu Hirwa Sylvain, Emmanuel Christian Nyabyenda, Melissa Uwase, Isaac Komezusenge, Fauste Ndikumana and Innocent Ngaruye
    Citation: BMC Medical Informatics and Decision Making 2025 25:76
    Content type: Research Published on:

  17. The routine diagnostic process increasingly entails the processing of high-volume and high-dimensional data that cannot be directly visualised. This processing may provide scaling issues that limit the impleme...

    Authors: Huibert-Jan Joosse, Chontira Chumsaeng-Reijers, Albert Huisman, Imo E. Hoefer, Wouter W. van Solinge, Saskia Haitjema and Bram van Es
    Citation: BMC Medical Informatics and Decision Making 2025 25:75
    Content type: Research Published on:

  18. Individuals with type 2 diabetes (T2D) have a high prevalence of cardiovascular and renal comorbidities. Despite clinical practice guidelines recommending the use of cardiorenal protective medications, many pe...

    Authors: Klaudia Grechuta, Pedram Shokouh, Valentina Bayer, Henrich Kraemer, Jeremy Gilbert, Susie Jin and Ahmad Alhussein
    Citation: BMC Medical Informatics and Decision Making 2025 25:74
    Content type: Research Published on:

  19. Despite recent progress in misinformation detection methods, further investigation is required to develop more robust fact-checking models with particular consideration for the unique challenges of health info...

    Authors: Elham Sharifpoor, Maryam Okhovati, Mostafa Ghazizadeh-Ahsaee and Mina Avaz Beigi
    Citation: BMC Medical Informatics and Decision Making 2025 25:73
    Content type: Research Published on:

  20. Screening of malignant hematological diseases is of great importance for their diagnosis and subsequent treatment. This study constructed an optimal screening model for malignant hematological diseases based o...

    Authors: Dehua Sun, Wei Chen, Jun He, Yongjian He, Haoqin Jiang, Hong Jiang, Dandan Liu, Lu Li, Min Liu, Zhigang Mao, Chenxue Qu, Linlin Qu, Ziyong Sun, Jianbiao Wang, Wenjing Wu, Xuefeng Wang…
    Citation: BMC Medical Informatics and Decision Making 2025 25:72
    Content type: Research Published on:

  21. This study proposes a deep learning-based motion assessment method that integrates the pose estimation algorithm (Keypoint RCNN) with signal processing techniques, demonstrating its reliability and effectivene...

    Authors: Yingchun He, Yi-haw Jan, Fan Yang, Yunru Ma and Chun Pei
    Citation: BMC Medical Informatics and Decision Making 2025 25:71
    Content type: Research Published on:

  22. Intraoperative imaging devices (i-ID), such as intraoperative optical coherence tomography (iOCT), offer surgeons critical insights previously unobservable, enhancing surgical precision and safety. Despite the...

    Authors: Hiroyuki Suzuki, Yusuke Tsuboko, Manabu Tamura, Ken Masamune and Kiotaka Iwasaki
    Citation: BMC Medical Informatics and Decision Making 2025 25:70
    Content type: Research Published on:

  23. This study aimed to develop a minimum dataset and an electronic registry system for hemodialysis patients to evaluate hemodialysis patients’ treatment procedures and outcomes, conduct related research, and des...

    Authors: Mahtab Karami, Ehsan Nabovati and Nasim Mirpanahi
    Citation: BMC Medical Informatics and Decision Making 2025 25:69
    Content type: Research Published on:

  24. Authors: Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona…
    Citation: BMC Medical Informatics and Decision Making 2025 25:68
    Content type: Correction Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2024 24:359

  25. Agent negotiation is widely used in e-commerce negotiation, cloud service service-level agreements, and power transactions. However, few studies have adapted alternative negotiation models to negotiation proce...

    Authors: Xin Chen, Yong Liu, Fei-Ping Hong, Ping Lu, Jiang-Tao Lu and Kai-Biao Lin
    Citation: BMC Medical Informatics and Decision Making 2025 25:67
    Content type: Research Published on:

  26. In Japan, reporting of medical device malfunctions and related health problems is mandatory, and efforts are being made to standardize terminology through the Adverse Event Terminology Collection of the Japan ...

    Authors: Ayako Yagahara, Masahito Uesugi and Hideto Yokoi
    Citation: BMC Medical Informatics and Decision Making 2025 25:66
    Content type: Research Published on:

  27. ECMO treatment for critically ill patients mostly requires family members to make surrogate decisions. However, the process and experience of family members’ participation in decision making have not been well...

    Authors: Xiangying Yang, Yao Lin, Amao Tang, Xiaokang Zeng, Weiying Dai, Qian Zhang and Li Ning
    Citation: BMC Medical Informatics and Decision Making 2025 25:65
    Content type: Research Published on:

  28. Low birth weight (LBW) is a critical global health issue that affects infants disproportionately, particularly in developing countries. This study adopted causal machine learning (CML) algorithms for predictin...

    Authors: Wudneh Ketema Moges, Awoke Seyoum Tegegne, Aweke A. Mitku, Esubalew Tesfahun and Solomon Hailemeskel
    Citation: BMC Medical Informatics and Decision Making 2025 25:64
    Content type: Research Published on:

  29. The relevance of the study is due to the growing number of diseases of the cerebrovascular system, in particular stroke, which is one of the leading causes of disability and mortality in the world. To improve ...

    Authors: Lesia Mochurad, Viktoriia Babii, Yuliia Boliubash and Yulianna Mochurad
    Citation: BMC Medical Informatics and Decision Making 2025 25:63
    Content type: Research Published on:

  30. Women diagnosed with breast cancer undergoing a mastectomy often have the option to undergo breast reconstruction (BR). BR decisions are complex and have considerable impact. We developed a patient decision ai...

    Authors: Jacqueline A. ter Stege, Ellen G. Engelhardt, Leonie A.E. Woerdeman, Hester S.A. Oldenburg, Jacobien M. Kieffer, Daniela E.E. Hahn, Frederieke H. van Duijnhoven, Martine A. van Huizum, Regina The, Klemens Karssen, Marianne Kuenen, Miranda A. Gerritsma, Quinten (PQ) Ruhe, Irene S. Krabbe-Timmerman, Martijne van’t Riet, Nikola (AN) Kimmings…
    Citation: BMC Medical Informatics and Decision Making 2025 25:62
    Content type: Research Published on:

  31. Medical imaging techniques for diagnosing sarcopenia have been extensively investigated. Studies have proposed using the T-score and patient information as key diagnostic factors. However, these techniques hav...

    Authors: Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee and Chul Park
    Citation: BMC Medical Informatics and Decision Making 2025 25:61
    Content type: Research Published on:

  32. Protecting digital health data from unauthorized access, alteration, and destruction is a crucial aspect of healthcare digitalization. Currently, digital security breaches are becoming more common. Healthcare ...

    Authors: Ayenew Sisay Gebeyew, Wondwossen Zemene, Binyam Chaklu Tilahun, Nebyu Demeke Mengestie, Berhanu Fikade Endehabtu, Zegeye Regasa Wordofa, Mitiku Kassaw Takillo, Gedefaw Belete Ashagrie and Melaku Molla Sisay
    Citation: BMC Medical Informatics and Decision Making 2025 25:60
    Content type: Research Published on:

  33. Virtual Gene Panels (VGP) comprising disease-associated causal genes are utilized in the diagnosis of rare genetic diseases to evaluate candidate genes identified by whole-genome and whole-exome sequencing. VG...

    Authors: Jaemoon Shin, Toyofumi Fujiwara, Hirotomo Saitsu and Atsuko Yamaguchi
    Citation: BMC Medical Informatics and Decision Making 2025 25(Suppl 1):59
    Content type: Research Published on:

    This article is part of a Supplement: Volume 25 Supplement 1

  34. World is aging and the prevalence of chronic diseases is raising with age, increasing financial strain on organizations but also affecting patients’ quality of life until death. Research on healthcare trajecto...

    Authors: Delphine Bosson-Rieutort, Alexandra Langford-Avelar, Juliette Duc and Benjamin Dalmas
    Citation: BMC Medical Informatics and Decision Making 2025 25:58
    Content type: Research Published on:

  35. Artificial intelligence (AI)-based systems are being rapidly integrated into the fields of health and social care. Although such systems can substantially improve the provision of care, diverse and marginalize...

    Authors: John Gabriel O. Marko, Ciprian Daniel Neagu and P. B. Anand
    Citation: BMC Medical Informatics and Decision Making 2025 25:57
    Content type: Systematic Review Published on:

  36. Training machine learning models using data from severe COVID-19 patients admitted to a central hospital, where entire wards are specifically dedicated to COVID-19, may yield predictions that differ significan...

    Authors: F. Pennestrì, F. Cabitza, N. Picerno and G. Banfi
    Citation: BMC Medical Informatics and Decision Making 2025 25:56
    Content type: Comment Published on:

  37. Patients with end-stage haemophilic arthritis (HA) are often hesitant about joint replacement surgery, yet little is known about the decision experiences faced by these patients. The aim of this study was to b...

    Authors: YaNan Kan, YunChun Bao and Fuying Ye
    Citation: BMC Medical Informatics and Decision Making 2025 25:55
    Content type: Research Published on:

  38. Renal transplantation is a critical treatment for end-stage renal disease, but graft failure remains a significant concern. Accurate prediction of graft survival is crucial to identify high-risk patients. This...

    Authors: Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta and Leja Hamza Juhar
    Citation: BMC Medical Informatics and Decision Making 2025 25:54
    Content type: Research Published on:

  39. Hypertension control remains a critical problem and most of the existing literature views it from a clinical perspective, overlooking the role of sociodemographic factors. This study aims to identify patients ...

    Authors: Yang Hu, Nicholas Cordella, Rebecca G. Mishuris and Ioannis Ch. Paschalidis
    Citation: BMC Medical Informatics and Decision Making 2025 25:53
    Content type: Research Published on:

  40. England’s urgent care telephone triage system comprises non-clinician-led primary triage (NHS111) assessment followed, for approximately 50% patients, by clinician-led secondary triage. Digital decision suppor...

    Authors: Vanashree Sexton, Catherine Grimley, Jeremy Dale, Helen Atherton and Gary Abel
    Citation: BMC Medical Informatics and Decision Making 2025 25:52
    Content type: Research Published on:

  41. There is no effective way to accurately predict paroxysmal and persistent atrial fibrillation (AF) subtypes unless electrocardiogram (ECG) observation is obtained. We aim to develop a predictive model using a ...

    Authors: Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng and Kun Zhang
    Citation: BMC Medical Informatics and Decision Making 2025 25:51
    Content type: Research Published on:

  42. Respiratory diseases and Cardiovascular Diseases (CVD) often coexist, with airflow obstruction (AO) severity closely linked to CVD incidence and mortality. As both conditions rise, early identification and int...

    Authors: Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang and Chuantao Zhang
    Citation: BMC Medical Informatics and Decision Making 2025 25:50
    Content type: Research Published on:

  43. The aim of this study was to evaluate the potential models to determine the most important anthropometric factors associated with type 2 diabetes mellitus (T2DM).

    Authors: Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily and Majid Ghayour-Mobarhan
    Citation: BMC Medical Informatics and Decision Making 2025 25:49
    Content type: Research Published on:

  44. This paper introduces SkinWiseNet (SWNet), a deep convolutional neural network designed for the detection and automatic classification of potentially malignant skin cancer conditions. SWNet optimizes feature e...

    Authors: Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, Ye Duan, Monji Kherallah and Faiza Charfi
    Citation: BMC Medical Informatics and Decision Making 2025 25:48
    Content type: Research Published on:

  45. Postoperative pulmonary complications (PPCs) following cardiac valvular surgery are characterized by high morbidity, mortality, and economic cost. This study leverages wearable technology and machine learning ...

    Authors: Lixuan Li, Yuekong Hu, Zhicheng Yang, Zeruxin Luo, Jiachen Wang, Wenqing Wang, Xiaoli Liu, Yuqiang Wang, Yong Fan, Pengming Yu and Zhengbo Zhang
    Citation: BMC Medical Informatics and Decision Making 2025 25:47
    Content type: Research Published on:

  46. Type 1 diabetes (T1D) is a chronic endocrine disorder characterized by high blood glucose levels, impacting millions of people globally. Its management requires intensive insulin therapy, frequent blood glucos...

    Authors: Daphne N. Katsarou, Eleni I. Georga, Maria A. Christou, Panagiota A. Christou, Stelios Tigas, Costas Papaloukas and Dimitrios I. Fotiadis
    Citation: BMC Medical Informatics and Decision Making 2025 25:46
    Content type: Research Published on:

  47. Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR).

    Authors: Jingteng Li, Kimberley R. Zakka, John Booth, Louise Rigny, Samiran Ray, Mario Cortina-Borja, Payam Barnaghi and Neil Sebire
    Citation: BMC Medical Informatics and Decision Making 2025 25:45
    Content type: Research Published on:

  48. Acute respiratory distress syndrome (ARDS) is a serious threat to human life. Hence, early and accurate diagnosis and treatment are crucial for patient survival. This meta-analysis evaluates the accuracy of ar...

    Authors: Yaxin Xiong, Yuan Gao, Yucheng Qi, Yingfei Zhi, Jia Xu, Kuo Wang, Qiuyue Yang, Changsong Wang, Mingyan Zhao and Xianglin Meng
    Citation: BMC Medical Informatics and Decision Making 2025 25:44
    Content type: Systematic Review Published on:

  50. Many respiratory diseases such as pneumoconiosis require to close monitor the symptoms such as abnormal respiration and cough. This study introduces an automated, nonintrusive method for detecting cough events...

    Authors: Jiawen Wang, Chunyan Min, Feng Yu, Kai Chen and Ling Mao
    Citation: BMC Medical Informatics and Decision Making 2025 25:41
    Content type: Research Published on:
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BMC Medical Informatics and Decision Making

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