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Building a trustworthy AI differential diagnosis application for Crohn ’s disease and intestinal tuberculosis
Differentiating between Crohn ’s disease (CD) and intestinal tuberculosis (ITB) with endoscopy is challenging. We aim to perform more accurate endoscopic diagnosis between CD and ITB by building a trustworthy A... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 15, 2023 Category: Information Technology Authors: Keming Lu, Yuanren Tong, Si Yu, Yucong Lin, Yingyun Yang, Hui Xu, Yue Li and Sheng Yu Tags: Research article Source Type: research

Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease
Current healthcare trends emphasize the use of shared decision-making (SDM) for renal replacement treatment (RRT) in patients with chronic kidney disease (CKD). This is crucial to understand the relationship b... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 14, 2023 Category: Information Technology Authors: Shih-Ming Hsiao, Mei-Chuan Kuo, Pei-Ni Hsiao, Sin-Hua Moi, Yi-Wen Chiu, Shu-Li Wang, Tzu-Hui Chen, Lan-Fang Kung, Shang-Jyh Hwang and Chia-Lun Lee Tags: Research Source Type: research

Perceptions of chief clinical information officers on the state of electronic health records systems interoperability in NHS England: a qualitative interview study
In the era of electronic health records (EHR), the ability to share clinical data is a key facilitator of healthcare delivery. Since the introduction of EHRs, this aspect has been extensively studied from the ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 12, 2023 Category: Information Technology Authors: Edmond Li, Olivia Lounsbury, Jonathan Clarke, Hutan Ashrafian, Ara Darzi and Ana Luisa Neves Tags: Research Source Type: research

Discrepancy between perceptions and acceptance of clinical decision support Systems: implementation of artificial intelligence for vancomycin dosing
Artificial intelligence (AI) tools are more effective if accepted by clinicians. We developed an AI-based clinical decision support system (CDSS) to facilitate vancomycin dosing. This qualitative study assesse... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 11, 2023 Category: Information Technology Authors: Xinyan Liu, Erin F. Barreto, Yue Dong, Chang Liu, Xiaolan Gao, Mohammad Samie Tootooni, Xuan Song and Kianoush B. Kashani Tags: Research article Source Type: research

Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China
Prediction tools for various intraoperative bleeding events remain scarce. We aim to develop machine learning-based models and identify the most important predictors by real-world data from electronic medical ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 10, 2023 Category: Information Technology Authors: Ying Shi, Guangming Zhang, Chiye Ma, Jiading Xu, Kejia Xu, Wenyi Zhang, Jianren Wu and Liling Xu Tags: Research Source Type: research

The protocol of DECO-MOM: a clinical trial testing the effectiveness of a mobile application for an environmental health intervention among pregnant women
Environmental toxins are particularly harmful to pregnant women and their fetuses due to the long-term effects of these toxins on children after birth. Environmental health behaviors can prevent and protect mo... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 9, 2023 Category: Information Technology Authors: Hyun Kyoung Kim Tags: Study Protocol Source Type: research

The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis
The purpose of this paper was to systematically evaluate the application value of artificial intelligence in predicting mortality among COVID-19 patients. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 9, 2023 Category: Information Technology Authors: Yu Xin, Hongxu Li, Yuxin Zhou, Qing Yang, Wenjing Mu, Han Xiao, Zipeng Zhuo, Hongyu Liu, Hongying Wang, Xutong Qu, Changsong Wang, Haitao Liu and Kaijiang Yu Tags: Research Source Type: research

An ontology-based approach for modelling and querying Alzheimer ’s disease data
The recent advances in biotechnology and computer science have led to an ever-increasing availability of public biomedical data distributed in large databases worldwide. However, these data collections are far... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 8, 2023 Category: Information Technology Authors: Francesco Taglino, Fabio Cumbo, Giulia Antognoli, Ivan Arisi, Mara D ’Onofrio, Federico Perazzoni, Roger Voyat, Giulia Fiscon, Federica Conte, Marco Canevelli, Giuseppe Bruno, Patrizia Mecocci and Paola Bertolazzi Tags: Research article Source Type: research

Development and validation of predictive models for unplanned hospitalization in the Basque Country: analyzing the variability of non-deterministic algorithms
The progressive ageing in developed countries entails an increase in multimorbidity. Population-wide predictive models for adverse health outcomes are crucial to address these growing healthcare needs. The mai... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 5, 2023 Category: Information Technology Authors: Alexander Olza, Eduardo Mill án and María Xosé Rodríguez-Álvarez Tags: Research Source Type: research

Acceptance of a digital therapy recommender system for psoriasis
About 2% of the German population are affected by psoriasis. A growing number of cost-intensive systemic treatments are available. Surveys have shown high proportions of patients with moderate to severe psoria... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 4, 2023 Category: Information Technology Authors: Lisa Graf, Falko Tesch, Felix Gr äßer, Lorenz Harst, Doreen Siegels, Jochen Schmitt and Susanne Abraham Tags: Research Source Type: research

An ontology-based approach for harmonization and cross-cohort query of Alzheimer ’s disease data resources
In the United States, the National Alzheimer ’s Coordinating Center (NACC) and the Alzheimer’s Disease Neuroimaging Initiative (ADNI) are two major data sharing resources for Alzheimer’s Disease (AD) research. ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 4, 2023 Category: Information Technology Authors: Xubing Hao, Xiaojin Li, Guo-Qiang Zhang, Cui Tao, Paul  E. Schulz and Licong Cui Tags: Research Source Type: research

Predicting delayed methotrexate elimination in pediatric acute lymphoblastic leukemia patients: an innovative web-based machine learning tool developed through a multicenter, retrospective analysis
High-dose methotrexate (HD-MTX) is a potent chemotherapeutic agent used to treat pediatric acute lymphoblastic leukemia (ALL). HD-MTX is known for cause delayed elimination and drug-related adverse events. The... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 3, 2023 Category: Information Technology Authors: Chang Jian, Siqi Chen, Zhuangcheng Wang, Yang Zhou, Yang Zhang, Ziyu Li, Jie Jian, Tingting Wang, Tianyu Xiang, Xiao Wang, Yuntao Jia, Huilai Wang and Jun Gong Tags: Research Source Type: research

Leveraging web-based prediction calculators to set patient expectations for elective spine surgery: a qualitative study to inform implementation
This study evaluated provider and patient persp... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 3, 2023 Category: Information Technology Authors: Trevor A. Lentz, Byron F. Stephens, Amir M. Abtahi, Jacob Schwarz, Andrew J. Schoenfeld, Bethany A. Rhoten, Shannon Block, Alex O ’Brien and Kristin R. Archer Tags: Research Source Type: research

Committee experiences of using formal consensus in healthcare guidelines: a longitudinal qualitative study
This feasibility study has the primary aim of capturing and comparing participant expectations and experiences of using a formal consensus method (FCM) and to explore whether these views change following parti... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 2, 2023 Category: Information Technology Authors: V Roberts, Patrice Carter, P Barnett, MA Mugglestone and S Pilling Tags: Research Source Type: research

Study on risk factors of diabetic peripheral neuropathy and establishment of a prediction model by machine learning
Diabetic peripheral neuropathy (DPN) is a common complication of diabetes. Predicting the risk of developing DPN is important for clinical decision-making and designing clinical trials. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - August 2, 2023 Category: Information Technology Authors: Xiaoyang Lian, Juanzhi Qi, Mengqian Yuan, Xiaojie Li, Ming Wang, Gang Li, Tao Yang and Jingchen Zhong Tags: Research Source Type: research