Physical relief potential through robot-assisted mobilization in nursing care: an exploratory study
ConclusionsThe conducted study suggests that overall the robotic-assistance has the potential of relieving nurses of partial physical exertion during mobilization. However, the different focuses of analysis show varying results in regard to external, i.e. sensor data and expert analysis, compared to internal, i.e. the nurses, perspectives. Going forward, these results have to be further expanded to get more robust analyses and insights on the interdependencies of subjective factors contributing to the experience of workload. In view of the fact that robotics for nursing is still a relatively new field and there are various...
Source: Health and Technology - November 14, 2023 Category: Information Technology Source Type: research
Internet-of-things based machine learning enabled medical decision support system for prediction of health issues
ConclusionsThis study concludes that the developed MDSS will be very useful in remote areas to assist patient and health practitioners to predict heath status and for quick decision making in case of medical emergencies. (Source: Health and Technology)
Source: Health and Technology - November 12, 2023 Category: Information Technology Source Type: research
Improvement of outpatient service processes: a case study of the university of Hong Kong-Shenzhen hospital
ConclusionsIt was found that service attitude, service value and waiting time have a significant influence on patient satisfaction. (Source: Health and Technology)
Source: Health and Technology - November 10, 2023 Category: Information Technology Source Type: research
Selection of consistent breath biomarkers of abnormal liver function using feature selection: a pilot study
ConclusionOur statistical and machine learning analysis identified significant and potential biomarkers that contribute to the detection of abnormal liver function. These biomarkers were consistent across different physiological states of the body in both patient and healthy groups. The use of breath samples and feature selection machine learning methods proved to be an accurate and reliable approach for identifying these biomarkers. Our findings provide valuable insights for future research in this field and can inform the development of non-invasive and cost-effective diagnostic tests for liver disease. (Source: Health and Technology)
Source: Health and Technology - November 6, 2023 Category: Information Technology Source Type: research
Artificial intelligence for healthcare in Africa: a scientometric analysis
ConclusionOur results suggest that AI for healthcare in Africa is still in its developmental phase with limited published research. Our social network analysis highlighted a South and West African predominance in the research relational network of AI in healthcare. This discrepancy presents an opportunity for coordination and increased collaboration with healthcare institutions advanced in the use of AI within Africa and beyond. (Source: Health and Technology)
Source: Health and Technology - November 6, 2023 Category: Information Technology Source Type: research
Selection of consistent breath biomarkers of abnormal liver function using feature selection: a pilot study
ConclusionOur statistical and machine learning analysis identified significant and potential biomarkers that contribute to the detection of abnormal liver function. These biomarkers were consistent across different physiological states of the body in both patient and healthy groups. The use of breath samples and feature selection machine learning methods proved to be an accurate and reliable approach for identifying these biomarkers. Our findings provide valuable insights for future research in this field and can inform the development of non-invasive and cost-effective diagnostic tests for liver disease. (Source: Health and Technology)
Source: Health and Technology - November 6, 2023 Category: Information Technology Source Type: research
Artificial intelligence for healthcare in Africa: a scientometric analysis
ConclusionOur results suggest that AI for healthcare in Africa is still in its developmental phase with limited published research. Our social network analysis highlighted a South and West African predominance in the research relational network of AI in healthcare. This discrepancy presents an opportunity for coordination and increased collaboration with healthcare institutions advanced in the use of AI within Africa and beyond. (Source: Health and Technology)
Source: Health and Technology - November 6, 2023 Category: Information Technology Source Type: research
Radiotherapy infrastructure for brain metastasis treatment in Africa: practical guildelines for implementation of a stereotactic radiosurgery (SRS) program
ConclusionAccess to radiosurgery treatment for brain metastasis with the Gamma Knife or Cyberknife is limited due to the low number of these equipment. With the increase in radiotherapy expansion with linear accelerators, it is likely that the continent will be able to increase its stereotactic radiosurgery treatment centers by implementing Linac-based SRS following suitable guidelines. This will help provide comprehensive care to patients and promote quality of life. (Source: Health and Technology)
Source: Health and Technology - November 1, 2023 Category: Information Technology Source Type: research
Factors influencing medical imaging technology uptake by private hospitals
ConclusionsThe availability of a CT scanner reduces the probability of a private hospital adopting MRI technology. Contracts with Public Sector have a counterfactual effect on CT uptake and a negative influence on MRI uptake. (Source: Health and Technology)
Source: Health and Technology - October 31, 2023 Category: Information Technology Source Type: research
Trimodality image registration of ultrasound, cardiac computed tomography, and magnetic resonance imaging for transcatheter aortic valve implantation and replacement image guidance
ConclusionsThe proposed registration technique demonstrates excellent accuracy in enhancing image-guided systems for aortic valve surgical guidance. It shows promise in the context of Transcatheter Aortic Valve Implantation (TAVI) and Transcatheter Aortic Valve Replacement (TAVR) procedures. The successful integration of US-CT-MRI imaging modalities enables better diagnosis and surgical planning for aortic valve disorders, potentially leading to improved patient outcomes in these procedures. (Source: Health and Technology)
Source: Health and Technology - October 23, 2023 Category: Information Technology Source Type: research
Automatic detection of breast masses using deep learning with YOLO approach
ConclusionYOLOv5x and YOLOv5s models showed potential for the task of detecting masses from mammographies. (Source: Health and Technology)
Source: Health and Technology - October 16, 2023 Category: Information Technology Source Type: research
