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  1. Worldwide, involving patients in healthcare has become a focus point. Shared decision-making (SDM) is one element of patient involvement and, in many countries, including Denmark, requires culturally adapted a...

    Authors: Mette Hulbaek, Sofie Ronja Petersen and Charlotte Ibsen
    Citation: BMC Medical Informatics and Decision Making 2025 25:194
    Content type: Research Published on:

  2. Accessing comprehensive oncological data is essential for efficient and quality healthcare delivery and research. However, obstacles, such as data fragmentation and privacy concerns which may hold back progres...

    Authors: Veronica Coppini, Giulia Ferraris, Maria Vittoria Ferrari, Dario Monzani, Margherita Dahò, Elisa Fragale, Roberto Grasso, Ricardo Pietrobon, Aline Machiavelli, Lucas Teixeira, Victor Galvão and Gabriella Pravettoni
    Citation: BMC Medical Informatics and Decision Making 2025 25:193
    Content type: Database Published on:

  3. Despite the global commitment to ending AIDS by 2030, the loss of follow-up (LTFU) in HIV care remains a significant challenge. To address this issue, a data-driven clinical decision tool is crucial for identi...

    Authors: Tamrat Endebu, Girma Taye and Wakgari Deressa
    Citation: BMC Medical Informatics and Decision Making 2025 25:192
    Content type: Research Published on:

  4. As personalized medicine becomes more prevalent, the objective measurement and visualization of an individual’s health status are becoming increasingly crucial. However, as the dimensions of data collected fro...

    Authors: Chanhee Lee and Taesung Park
    Citation: BMC Medical Informatics and Decision Making 2025 25:191
    Content type: Research Published on:

  5. This study aims to understand how secondary use of health records can be done for prediction, detection, treatment recommendations, and related tasks in clinical decision support systems.

    Authors: Dipendra Pant, Øystein Nytrø, Bennett L. Leventhal, Carolyn Clausen, Kaban Koochakpour, Line Stien, Odd Sverre Westbye, Roman Koposov, Thomas Brox Røst, Thomas Frodl and Norbert Skokauskas
    Citation: BMC Medical Informatics and Decision Making 2025 25:190
    Content type: Research Published on:

  6. The RIKEN BRC develops and maintains the RIKEN BioResource MetaDatabase to help users explore appropriate target bioresources for their experiments and prepare precise and high-quality data infrastructures. Th...

    Authors: Tatsuya Kushida, Tarcisio Mendes de Farias, Ana C. Sima, Christophe Dessimoz, Hirokazu Chiba, Frederic B. Bastian and Hiroshi Masuya
    Citation: BMC Medical Informatics and Decision Making 2025 25(Suppl 1):189
    Content type: Research Published on:

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

  7. Colorectal cancer is the fourth most deadly cancer, with a high mortality rate and a high probability of recurrence and metastasis. Since continuous examinations and disease monitoring for patients after surge...

    Authors: Bing Li, Ming Xiao, Rong Zeng and Le Zhang
    Citation: BMC Medical Informatics and Decision Making 2025 25(Suppl 2):188
    Content type: Research Published on:

    This article is part of a Supplement: Volume 25 Supplement 2

  8. The rapid advancement of Artificial Intelligence (AI) has led to its widespread application across various domains, showing encouraging outcomes. Many studies have utilized AI to forecast emergency department ...

    Authors: Kuang-Ming Kuo and Chao Sheng Chang
    Citation: BMC Medical Informatics and Decision Making 2025 25:187
    Content type: Research Published on:

  9. Bloodstream Infection (BSI) is a severe systemic infectious disease that can lead to sepsis and Multiple Organ Dysfunction Syndrome (MODS), resulting in high mortality rates and posing a major public health bu...

    Authors: Xiefei Hu, Shenshen Zhi, Yang Li, Yuming Cheng, Haiping Fan, Haorong Li, Zihao Meng, Jiaxin Xie, Shu Tang and Wei Li
    Citation: BMC Medical Informatics and Decision Making 2025 25:186
    Content type: Research Published on:

  10. The application of artificial intelligence (AI) technology has realized the transformation of people’s production and lifestyle, and also promoted the rapid development of the medical field. At present, the ap...

    Authors: Ya Yang, Pan Wang, Chengzhou Yu, Jing Zhu and Jinping Sheng
    Citation: BMC Medical Informatics and Decision Making 2025 25:185
    Content type: Research Published on:

  11. Lung cancer is one of the most prevalent diseases affecting people and is a main factor in the rising death rate. Recently, Machine Learning (ML) and Deep Learning (DL) techniques have been utilized to detect ...

    Authors: Ali Bou Nassif, Nour Ayman Abujabal and Aya Alchikh Omar
    Citation: BMC Medical Informatics and Decision Making 2025 25:184
    Content type: Research Published on:

  12. Health examination identifies risk factors and diseases at an early stage through a series of health examination items. In China, however, the incidence of consulting services for health examination items is l...

    Authors: Dan Wu, Jiye An, Shan Nan, Yutong She, Huilong Duan and Ning Deng
    Citation: BMC Medical Informatics and Decision Making 2025 25:183
    Content type: Research Published on:

  13. Differentiated thyroid cancer (DTC) is a common endocrine malignancy with rising incidence and frequent recurrence, despite a generally favorable prognosis. Accurate recurrence prediction is critical for guidi...

    Authors: Emmanuel Onah, Uche Jude Eze, Abdullahi Salahudeen Abdulraheem, Ugochukwu Gabriel Ezigbo, Kosisochi Chinwendu Amorha and Fidele Ntie-Kang
    Citation: BMC Medical Informatics and Decision Making 2025 25:182
    Content type: Research Published on:

  14. Electronic medical record (EMR) systems have significantly transformed how healthcare data is created, managed, and utilized, offering improved legibility, accessibility, and support for clinical decision-maki...

    Authors: Tebeli E. Sekoai, Astrid Turner and Janine Mitchell
    Citation: BMC Medical Informatics and Decision Making 2025 25:181
    Content type: Research Published on:

  15. Abbreviation use remains a significant cause of miscommunication among healthcare practitioners worldwide, creating uncertainty in interpretation and leading to poorer patient outcomes. This study aimed to ass...

    Authors: Shamus Toomath and Emily J Hibbert
    Citation: BMC Medical Informatics and Decision Making 2025 25:180
    Content type: Research Published on:

  16. This study has two main objectives. First, to evaluate a feature selection methodology based on SEQENS, an algorithm for identifying relevant variables. Second, to validate machine learning models that predict...

    Authors: Pedro Pons-Suñer, François Signol, Noemi Alvarez, Claudia Sargas, Sara Dorado, Jose Vicente Gil Ortí, Juan A. Delgado Sanchis, Marta Llop, Laura Arnal, Rafael Llobet, Juan-Carlos Perez-Cortes, Rosa Ayala and Eva Barragán
    Citation: BMC Medical Informatics and Decision Making 2025 25:179
    Content type: Research Published on:

  17. This study was performed to characterize the relationship of various laboratory test indicators with clinical information and Preeclampsia (PE) development. Then, prediction models for early-onset preeclampsia...

    Authors: Songchang Chen, Jia Li, Xiao Zhang, Wenqiu Xu, Zhixu Qiu, Siyao Yan, Wenrui Zhao, Zhiguang Zhao, Peirun Tian, Qiang Zhao, Qun Zhang, Weiping Chen, Huahua Li, Xiaohong Ruan, Gefei Xiao, Sufen Zhang…
    Citation: BMC Medical Informatics and Decision Making 2025 25:178
    Content type: Research Published on:

  18. Recent advances in artificial intelligence-based audio and speech processing have increasingly focused on the binary and multi-class classification of voice disorders. Despite progress, achieving high accuracy...

    Authors: Mehtab Ur Rahman and Cem Direkoglu
    Citation: BMC Medical Informatics and Decision Making 2025 25:177
    Content type: Research Published on:

  19. A negative body image can have an impact on developing and maintaining obesity. Using virtual reality (VR) to conduct cognitive behavioral therapy (CBT) is an innovative approach to treat people with obesity. ...

    Authors: Kathrin Gemesi, Nina Döllinger, Natascha-Alexandra Weinberger, Erik Wolf, David Mal, Sebastian Keppler, Stephan Wenninger, Emily Bader, Carolin Wienrich, Claudia Luck-Sikorski, Marc Erich Latoschik, Johann Habakuk Israel, Mario Botsch and Christina Holzapfel
    Citation: BMC Medical Informatics and Decision Making 2025 25:176
    Content type: Research Published on:

  20. This study aimed to investigate diabetic patients’ acceptance of artificial intelligence (AI) devices for diabetic retinopathy screening and the related influencing factors.

    Authors: Luchang Jin, Yanmin Tao, Ya Liu, Gang Liu, Lin Lin, Zixi Chen and Sihan Peng
    Citation: BMC Medical Informatics and Decision Making 2025 25:175
    Content type: Research Published on:

  21. Today’s medical IT is more and more connected and network or IT system outages may impact the quality of patient treatment. IT outages from cyberattacks are particularly worrisome if attackers focus on those m...

    Authors: Markus Willing, Simon Ebbers, Christian Dresen, Marc Czolbe, Christoph Saatjohann and Sebastian Schinzel
    Citation: BMC Medical Informatics and Decision Making 2025 25:174
    Content type: Research Published on:

  22. Polypharmacy can be both a public health and an economic issue. Medication reviews are structured interviews of the patient by the pharmacist, aiming at optimizing the drug treatment and deprescribing potentia...

    Authors: Mouazer Abdelmalek, Léguillon Romain, Boudegzdame Nada, Levrard Thibaud, Le Bars Yoann, Simon Christian, Séroussi Brigitte, Grosjean Julien, Lelong Romain, Letord Catherine, Darmoni Stéfan, Schuers Matthieu, Belmin Joël, Sedki Karima, Dubois Sophie, Falcoff Hector…
    Citation: BMC Medical Informatics and Decision Making 2025 25:173
    Content type: Research Published on:

  23. To compare the performance of predictive models for cardiovascular event (CVE) in patients undergoing peritoneal dialysis (PD) based on machine learning algorithm and Cox proportional hazard regression.

    Authors: Qiqi Yan, Guiling Liu, Ruifeng Wang, Dandan Li, Xiaoli Chen, Jingjing Cong and Deguang Wang
    Citation: BMC Medical Informatics and Decision Making 2025 25:172
    Content type: Research Published on:

  24. This study aimed to identify key predictors for the severity of High Altitude Pulmonary Edema (HAPE) to assist clinicians in promptly recognizing severely affected patients in the emergency department, thereby...

    Authors: Luobu Gesang, Yangzong Suona, Zhuoga Danzeng, Bai Ci, Quzhen Gesang, WangJiu Cidan, Qiangba Dingzeng, Zhuoga Baima and Quzhen Zhaxi
    Citation: BMC Medical Informatics and Decision Making 2025 25:171
    Content type: Research Published on:

  25. Pediatric asthma is a common chronic respiratory disease worldwide, and its acute exacerbation events significantly impact children’s health and quality of life. Machine learning, an advanced data analysis tec...

    Authors: Chunni Zhou, Liu Shuai, Hao Hu, Carolina Oi Lam Ung, Yunfeng Lai, Lijun Fan, Wei Du, Yan Wang and Meng Li
    Citation: BMC Medical Informatics and Decision Making 2025 25:170
    Content type: Systematic Review Published on:

  26. The automated processing of Electronic Health Records (EHRs) poses a significant challenge due to their unstructured nature, rich in valuable, yet disorganized information. Natural Language Processing (NLP), p...

    Authors: Domenico Paolo, Carlo Greco, Alessio Cortellini, Sara Ramella, Paolo Soda, Alessandro Bria and Rosa Sicilia
    Citation: BMC Medical Informatics and Decision Making 2025 25:169
    Content type: Research Published on:

  27. Postpartum chronic pain is prevalent, affecting many women after delivery. Machine learning algorithms have been widely used in predicting postoperative conditions. We investigated the prevalence of and risk f...

    Authors: Fan Liu, Ting Li, Dongxu Zhou, Shengnan Shi and Xingrui Gong
    Citation: BMC Medical Informatics and Decision Making 2025 25:168
    Content type: Research Published on:

  28. Systemic inflammatory response syndrome (SIRS) is a frequent and serious complication of acute pancreatitis (AP), often associated with increased mortality. This study aims to leverage automated machine learni...

    Authors: Rufa Zhang, Shiqi Zhu, Li Shi, Hao Zhang, Xiaodan Xu, Bo Xiang and Min Wang
    Citation: BMC Medical Informatics and Decision Making 2025 25:167
    Content type: Research Published on:

  29. Ischemic stroke (IS) is associated with high disability and mortality. This study aimed to identify the prognostic predictors and develop a nomogram for a prediction model for ischemic stroke patients after th...

    Authors: Xiao-Dan Zhang, Zong-Yong Zhang, Ming-Pei Zhao, Xiang-Tao Zhang, Neng Wang, Hong-Zhi Gao, Yuan-Xiang Lin and Zong-Qing Zheng
    Citation: BMC Medical Informatics and Decision Making 2025 25:166
    Content type: Research Published on:

  30. Mortality prediction is critical in clinical care, particularly in intensive care units (ICUs), where early identification of high-risk patients can inform treatment decisions. While deep learning (DL) models ...

    Authors: Linna Wang, Xinyu Guo, Haoyue Shi, Yuehang Ma, Han Bao, Lihua Jiang, Li Zhao, Ziliang Feng, Tao Zhu and Li Lu
    Citation: BMC Medical Informatics and Decision Making 2025 25:165
    Content type: Research Published on:

  31. Sleep stage classification is a significant measure in assessing sleep quality and diagnosing sleep disorders. Many researchers have investigated automatic sleep stage classification methods and achieved promi...

    Authors: Jingrui Chen, Xiaomao Fan, Ruiquan Ge, Jing Xiao, Ruxin Wang, Wenjun Ma and Ye Li
    Citation: BMC Medical Informatics and Decision Making 2025 25:164
    Content type: Research Published on:

  32. The integration of artificial intelligence (AI) in healthcare has rapidly expanded, particularly in clinical decision-making. Large language models (LLMs) such as GPT-4 and GPT-3.5 have shown potential in vari...

    Authors: Sönmez Saglam, Veysel Uludag, Zekeriya Okan Karaduman, Mehmet Arıcan, Mücahid Osman Yücel and Raşit Emin Dalaslan
    Citation: BMC Medical Informatics and Decision Making 2025 25:163
    Content type: Research Published on:

  33. Malaria, an infectious disease caused by protozoan parasites belonging to the Plasmodium genus, remains a significant public health challenge, with African regions bearing the heaviest burden. Machine learning...

    Authors: Olushina Olawale Awe, Peter Njoroge Mwangi, Samuel Kotva Goudoungou, Ruth Victoria Esho and Olanrewaju Samuel Oyejide
    Citation: BMC Medical Informatics and Decision Making 2025 25:162
    Content type: Research Published on:

  34. Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is growing, with some persons experiencing symptoms. Ultrasound-guided thermal ablation can shrink nodules and alleviate discomf...

    Authors: Enock Adjei Agyekum, Yu-guo Wang, Eliasu Issaka, Yong-zhen Ren, Gongxun Tan, Xiangjun Shen and Xiao-qin Qian
    Citation: BMC Medical Informatics and Decision Making 2025 25:161
    Content type: Research Published on:

  35. Analysis of Electronic Health Records (EHRs) is crucial in real-world evidence (RWE), especially in oncology, as it provides valuable insights into the complex nature of the disease. The implementation of adva...

    Authors: Livia Lilli, Mario Santoro, Valeria Masiello, Stefano Patarnello, Luca Tagliaferri, Fabio Marazzi and Nikola Dino Capocchiano
    Citation: BMC Medical Informatics and Decision Making 2025 25:160
    Content type: Research Published on:

  36. The flexible ureteroscopy lithotripsy (F-URL) is an important treatment for upper urinary tract stones. However, urolithiasis, surgical procedures, and catheter placement are risk factors for fungal infections...

    Authors: Haofang Zhang, Changbao Xu, Chenge Hu, Yunlai Xue, Daoke Yao, Yifan Hu, Ankang Wu, Miao Dai and Hang Ye
    Citation: BMC Medical Informatics and Decision Making 2025 25:159
    Content type: Research Published on:

  38. Cognitive impairment is common after a stroke, but it can often go undetected. In this study, we investigated whether using gait and dual tasks could help detect cognitive impairment after stroke.

    Authors: Vânia Guimarães, Inês Sousa and Miguel Velhote Correia
    Citation: BMC Medical Informatics and Decision Making 2025 25:157
    Content type: Research Published on:

  39. Risk stratification of COVID-19 patients can support therapeutic decisions, planning and resource allocation in the hospital. In times of high incidence, a prognostic model based on data efficiently retrieved ...

    Authors: Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis and Jef Vandemeulebroucke
    Citation: BMC Medical Informatics and Decision Making 2025 25:156
    Content type: Research Published on:

  40. Electronic health record (EHR) systems have been shown to represent a valuable source of data reuse in the design and conduct of clinical trials. Earlier work has mostly focused on institutional EHR systems. S...

    Authors: Georg Duftschmid, Florian Katsch, Gabriela Ciortuz, Dipak Kalra and Christoph Rinner
    Citation: BMC Medical Informatics and Decision Making 2025 25:155
    Content type: Research Published on:

  41. The integration of big data and artificial intelligence (AI) in healthcare, particularly through the analysis of electronic health records (EHR), presents significant opportunities for improving diagnostic acc...

    Authors: Izzet Turkalp Akbasli, Ahmet Ziya Birbilen and Ozlem Teksam
    Citation: BMC Medical Informatics and Decision Making 2025 25:154
    Content type: Research Published on:

  42. In the fast-expanding field of life-prolonging-treatment of metastatic, castration-resistant prostate cancer, treatment decision-making is very complex - both for patients and healthcare professionals since th...

    Authors: Sandra Doveson, Agneta Wennman-Larsen, Per Fransson and Lena Axelsson
    Citation: BMC Medical Informatics and Decision Making 2025 25:153
    Content type: Research Published on:

  43. Sepsis, a severe systemic response to infection, frequently results in adverse outcomes, underscoring the urgency for prompt and accurate prognostic tools. Machine learning methods such as logistic regression,...

    Authors: Su-Zhen Zhang, Hai-Yi Ding, Yi-Ming Shen, Bing Shao, Yuan-Yuan Gu, Qiu-Hua Chen, Hai-Dong Zhang, Ying-Hao Pei and Hua Jiang
    Citation: BMC Medical Informatics and Decision Making 2025 25:152
    Content type: Research Published on:

  44. Use of emergency departments has increased in recent years. Different efforts address this problem, eg, medical on-call services. The basis of the DEMAND intervention is computer-assisted initial telephone ass...

    Authors: Heike Hansen, Agata Menzel, Jan Hendrik Oltrogge-Abiry, Dagmar Lühmann, Martin Scherer and Ingmar Schäfer
    Citation: BMC Medical Informatics and Decision Making 2025 25:151
    Content type: Research Published on:

  45. Deep learning has significantly contributed to medical imaging and computer-aided diagnosis (CAD), providing accurate disease classification and diagnosis. However, challenges such as inter- and intra-class si...

    Authors: Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho and Byoungchol Chang
    Citation: BMC Medical Informatics and Decision Making 2025 25:150
    Content type: Research Published on:

  46. Spontaneous intracerebral hemorrhage (SICH) is a devastating condition that significantly contributes to high mortality rates. This study aims to construct a mortality prediction model for patients with SICH u...

    Authors: Xiao-Han Vivian Yap, Kuan-Chi Tu, Nai-Ching Chen, Che-Chuan Wang, Chia-Jung Chen, Chung-Feng Liu, Tee-Tau Eric Nya and Ching-Lung Kuo
    Citation: BMC Medical Informatics and Decision Making 2025 25:149
    Content type: Research Published on:

  47. Diabetic kidney disease (DKD) is a serious complication of diabetes mellitus (DM), with patients typically remaining asymptomatic until reaching an advanced stage. We aimed to develop and validate a predictive...

    Authors: Xiaomeng Lin, Chao Liu, Huaiyu Wang, Xiaohui Fan, Linfeng Li, Jiming Xu, Changlin Li, Yao Wang, Xudong Cai and Xin Peng
    Citation: BMC Medical Informatics and Decision Making 2025 25:148
    Content type: Research Published on:

  48. This study evaluates and compares ChatGPT-4.0, Gemini Pro 1.5(0801), Claude 3 Opus, and Qwen 2.0 72B in answering dental implant questions. The aim is to help doctors in underserved areas choose the best LLMs(...

    Authors: Yuepeng Wu, Yukang Zhang, Mei Xu, Chen Jinzhi, Yican Xue and Yuchen Zheng
    Citation: BMC Medical Informatics and Decision Making 2025 25:147
    Content type: Research Published on:

  49. Accurate and timely discharge from the Post-Anesthesia Care Unit (PACU) is essential to prevent postoperative complications and optimize hospital resource utilization. Premature discharge can lead to severe is...

    Authors: Shahnam Sedigh Maroufi, Maryam Soleimani Movahed, Azar Ejmalian, Maryam Sarkhosh and Ali Behmanesh
    Citation: BMC Medical Informatics and Decision Making 2025 25:146
    Content type: Research Published on:

  50. Emergency Medical Services (EMS) response times are critical for optimizing patient outcomes, particularly in time-sensitive emergencies. This study explores the multifaceted determinants of EMS response times...

    Authors: Peter Hill, Jakob Lederman, Daniel Jonsson, Peter Bolin and Veronica Vicente
    Citation: BMC Medical Informatics and Decision Making 2025 25:143
    Content type: Research Published on:
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BMC Medical Informatics and Decision Making

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