Dengue is a common viral illness and severe disease results in life-threatening complications. Healthcare services in low- and middle-income countries treat the majority of dengue cases worldwide. How...
We utilised process mapping and task analysis methods to characterise existing dengue management at the Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam. This is a tertiary referral hospital ...
Key clinical decision-making points were identified: (i) at the initial patient evaluation for dengue diagnosis to decide on hospital admission and the provision of fluid/blood product therapy, (ii) i...
The study highlights the contemporary priorities in delivering clinical care to patients with dengue in an endemic setting. Key decision-making processes and the sources of information that were of th...
Rheumatoid arthritis (RA) is a chronic autoimmune condition, characterised by joint pain, damage and disability, which can be addressed in a high proportion of patients by timely use of targeted biolo...
In the precision medicine era, there is a growing need for precision radiotherapy where the planned radiation dose needs to be optimally determined by considering a myriad of patient-specific informat...
The present study aims to investigate the role of the first magnetic resonances (MRI) following radio-chemotherapy (RT-CT) in patients diagnosed with high-grade glioma....
We retrospectively recorded radiological evaluations following RT-CT, symptoms related to disease progression (avoiding any sign due to radiotherapy or chemotherapy) and the change of therapeutic stra...
In March 2021, at data analysis, the data of 149 patients diagnosed with high-grade glioma and treated between May 2013 and July 2020 were retrieved for the present analysis. Two out of 122 (1.6%), 5 ...
MRIs performed by 6 months after the end of RT-CT lead to change treatment strategy mostly in symptomatic patients....
Orthopedic surgeons use manual measurements, acetate templating, and dedicated software to determine the appropriate implant size for total knee arthroplasty (TKA). This study aimed to use deep learni...
Two types of DL were used to detect the femoral and tibial regions using the You Only Look Once algorithm model and to determine the implant size from the detected regions using convolutional neural n...
The exact accuracies of the surgeon's template were 61.54% and 68.38% for predicting femoral and tibial implant sizes, respectively. Meanwhile, the proposed DL model reported exact accuracies of 89.32...
The observed differences and higher agreement levels achieved by the proposed DL model demonstrate its potential as a valuable tool in preoperative decision-making for TKA. By providing accurate predi...
Machine learning as a clinical decision support system tool has the potential to assist clinicians who must make complex and accurate medical decisions in fast paced environments such as the emergency...
The methodology used will follow the scoping study framework of Arksey and O'Malley, along with other guidelines. Machine learning clinical decision support system tools for any outcome and population...
The study results will summarise the existing research on machine learning clinical decision support tools in the emergency department, focusing on models that can be used for paediatric patients. Thi...
An integral part of clinical practice is decision-making. Yet there is widespread acceptance that there is evidence of cognitive bias within clinical practice among nurses and physicians. However, how...
The aim of this review was to systematically synthesise research exploring the emergency nurses' and physicians' cognitive bias in decision-making and its influence on patient outcomes....
This scoping review was guided by the PRISMA Extension for Scoping Reviews. The databases searched included CINAHL, MEDLINE, Web of Science and PubMed. No date limits were applied. The Patterns, Advan...
The review included 18 articles, consisting of 10 primary studies (nine quantitative and one qualitative) and eight literature reviews. Of the 18 articles, nine investigated physicians, five articles ...
This review identified that cognitive biases were present among emergency nurses and physicians during clinical decision-making, but it remains unclear how cognitive bias influences patient outcomes. ...
Awareness of emergency clinicians' own cognitive biases may result to the provision of equity in care....
We intend to disseminate the results through publication in a peer-reviewed journals and conference presentations....
This study was conducted to evaluate the relationship between lifelong learning perceptions of pediatric nurses and self-confidence and anxiety in clinical decision-making processes. One of the most i...
Rising complexity of patients and the consideration of heterogeneous information from various IT systems challenge the decision-making process of urological oncologists. Siemens AI Pathway Companion i...
Ten urologists in our department performed the entire diagnostic workup to treatment decision for 10 patients in the prostate cancer screening setting. Expenditure of time, information quality, and us...
A significant reduction in the physician's expenditure of time for the decision-making process by -59.9% (p < 0,001) was found using the software. System usage showed a high positive effect on evaluat...
The software demonstrated that comprehensive organization of information improves physician's effectiveness and satisfaction in the clinical decision-making process. Further development is needed to m...
Medical students need to be prepared for various situations in clinical decision-making that cannot be systematically trained with real patients without risking their health or integrity. To target sy...
The authors' aim is to develop a modular digital training platform for medical education with virtual, interactable agents and to integrate this platform into the medical curriculum. The medical tr.AI...
To ensure constant improvement of user experience, realism, and medical validity, the authors will perform regular iterative evaluation rounds.Furthermore, integration of medical tr.AI.ning into the m...
