Deep Learning Assisted Detection of Abdominal Free Fluid in Morison's Pouch During Focused Assessment With Sonography in Trauma.

Background: The use of focused assessment with sonography in trauma (FAST) enables clinicians to rapidly screen for injury at the bedsides of patients. Pre-hospital FAST improves diagnostic accuracy and streamlines patient care, leading to dispositions to appropriate treatment centers. In this study, we determine the accuracy of artificial intelligence model-assisted free-fluid detection in FAST examinations, and subsequently establish an automated feedback system, which can help inexperienced sonographers improve their interpretation ability and image acquisition skills. Methods: This is a single-center study of patients admitted to the emergency room from January 2020 to March 2021. We collected 324 patient records for the training model, 36 patient records for validation, and another 36 patient records for testing. We balanced positive and negative Morison's pouch free-fluid detection groups in a 1:1 ratio. The deep learning (DL) model Residual Networks 50-Version 2 (ResNet50-V2) was used for training and validation. Results: The accuracy, sensitivity, and specificity of the model performance for ascites prediction were 0.961, 0.976, and 0.947, respectively, in the validation set and 0.967, 0.985, and 0.913, respectively, in the test set. Regarding feedback prediction, the model correctly classified qualified and non-qualified images with an accuracy of 0.941 in both the validation and test sets. Conclusions: The DL algorithm in ResNet50-V2 is able to detect free fluid in Morison's pouch with high accuracy. The automated feedback and instruction system could help inexperienced sonographers improve their interpretation ability and image acquisition skills.

The effects of a self-regulation programme on self-care behaviour in patients with heart failure: A randomized controlled trial.

BACKGROUND: Self-care behaviour is important for patients with heart failure to prevent disease progression. More than half of patients have poor self-care behaviour. Self-regulation theory emphasizes that patients need to initiate monitoring of their symptoms, identify their own problems, and perform appropriate self-care behaviour. However, studies focused on interventions based on self-regulation theory for patients with heart failure are limited. OBJECTIVES: To investigate the effects of a self-regulation programme on self-care behaviour in patients with heart failure. DESIGN: A randomized controlled trial. PARTICIPANTS AND SETTING: Eighty-two patients with heart failure were recruited from a cardiovascular outpatient department at a teaching hospital in northern Taiwan. METHODS: Participants were randomly assigned to the intervention (n = 41) or control group (n = 41). The intervention group participated in a 4-week self-regulation programme, including one 20-to-30-min, face-to-face individual self-regulation education session and 15- to 20-min telephone follow-up counselling sessions twice per week for four weeks. The control group received only routine outpatient care. Self-care behaviour was measured by the Self-Care of Heart Failure Index at baseline, 4 weeks and 8 weeks after patients were enroled. RESULTS: The intervention group reported improvements in self-care behaviours, including self-maintenance and self-confidence subscale scores, after four weeks of the self-regulation programme. In contrast, the control group showed no significant differences. Compared with the control group, the intervention group exhibited significantly greater improvements in self-care maintenance (B = 3.74, p = 0.01), self-care management (B = 6.33, p = 0.004), and self-care confidence (B = 5.15, p = 0.003) at four weeks but showed significantly greater improvements only in self-care management (B = 6.97, p = 0.03) and self-care confidence (B = 6.24, p = 0.001) at 8 weeks. CONCLUSIONS: This study confirmed that a self-regulation programme could effectively improve self-care behaviour in patients with heart failure. Further studies with multicentre randomized controlled trials and larger populations of heart failure patients are necessary to evaluate the effect of this self-regulation programme in various regions and countries. Tweetable abstract: A home-based self-regulation programme could effectively improve self-care behaviour in patients with heart failure.