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
Ways public health users interact with online health information: a qualitative study
ConclusionOur findings suggest that health information online might facilitate the understanding of technical terms and fill an emotional gap often overlooked by healthcare practitioners. Findings may assist health professionals in developing ways of considering health information online as part of the health encounter. (Source: Health and Technology)
Source: Health and Technology - October 5, 2023 Category: Information Technology Source Type: research
Quantification of Parkinsonian unilateral involvement from ocular fixational patterns using a deep video representation
ConclusionsThe strategy is sensitive to detecting and classifying PD fixational patterns and determining the side with major impairments. This approach may be a potential tool to support the characterization of the disease and as an alternative to defining personalized treatments. (Source: Health and Technology)
Source: Health and Technology - October 3, 2023 Category: Information Technology Source Type: research
An innovative 4.0 system to prevent the spreading of the diseases which threaten the globalized world
ConclusionThe target contribution was widely achieved, providing machinery, processes and procedures. The authors aim now to extend the solution proposed to any other type virus, bacteria, or pathogen agent introduced by subjects who, despite being unaware of acting as vectors, develop infection along their stay in hotels, offices or any other public place. (Source: Health and Technology)
Source: Health and Technology - September 28, 2023 Category: Information Technology Source Type: research
Explainable and transparency machine learning approach to predict diabetes develop
ConclusionThe results indicate that algorithms like DNNs and KNNs offer reliable performance in predicting the risk of developing type 1 diabetes. The integration of Explainable AI techniques, specifically LIME, enhances the interpretability of predictions and provides insights into the factors influencing the disease. The developed CDSS based on XAI can potentially assist healthcare professionals in making informed clinical decisions, thereby improving patient care and management of type 1 diabetes. (Source: Health and Technology)
Source: Health and Technology - September 27, 2023 Category: Information Technology Source Type: research
