Journal of Medical Systems This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Virtual Reality for the Management of Pain and Anxiety in Patients Undergoing Implantation of Pacemaker or Implantable Cardioverter Defibrillator: A Randomized Study
ConclusionVRH use improved pain and anxiety control during deep venous puncture compared to standard analgesia care, and allowed morphine consumption reduction. However, pain and anxiety were similar at the time of sub-cutaneous pocket creation. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - March 5, 2024 Category: Information Technology Source Type: research

Quantum Machine-Based Decision Support System for the Detection of Schizophrenia from EEG Records
This study serves as proof that quantum machine learning algorithms can be effectively utilized in the field of healthcare. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - March 5, 2024 Category: Information Technology Source Type: research

Leveraging Large Language Models for Clinical Abbreviation Disambiguation
AbstractClinical abbreviation disambiguation is a crucial task in the biomedical domain, as the accurate identification of the intended meanings or expansions of abbreviations in clinical texts is vital for medical information retrieval and analysis. Existing approaches have shown promising results, but challenges such as limited instances and ambiguous interpretations persist. In this paper, we propose an approach to address these challenges and enhance the performance of clinical abbreviation disambiguation. Our objective is to leverage the power of Large Language Models (LLMs) and employ a Generative Model (GM) to augme...
Source: Journal of Medical Systems - February 27, 2024 Category: Information Technology Source Type: research

Knowledge, Perceptions and Attitude of Researchers Towards Using ChatGPT in Research
ConclusionThe increasing use of chatbots in academic research necessitates thoughtful regulation that balances potential benefits with inherent limitations and potential risks. Chatbots should not be considered authors of scientific publications but rather assistants to researchers during manuscript preparation and review. Researchers should be equipped with proper training to utilize chatbots and other AI tools effectively and ethically. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - February 27, 2024 Category: Information Technology Source Type: research

NeuroIGN: Explainable Multimodal Image-Guided System for Precise Brain Tumor Surgery
In conclusion, this paper describes not only the development of an open-source multimodal IGN system but also demonstrates the innovative application of deep learning and explainable AI algorithms in enhancing neuronavigation for brain tumor surgeries. By seamlessly integrating pre- and intra-operative patient image data with cutting-edge interventional devices, our experiments underscore t he potential for deep learning models to improve the surgical treatment of brain tumors and long-term post-operative outcomes. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - February 23, 2024 Category: Information Technology Source Type: research

In-House Intraoperative Monitoring in Neurosurgery in England – Benefits and Challenges
ConclusionIOM is valuable in surgical decision-making, planning, and technique, having been shown to lead to fewer patient complications and shorter length of stay. Current demand for IOM outstrips the internal NHS provision in many trusts across England, leading to outsourcing to private companies. This is at significant cost to the NHS. Although there is a learning curve, there are many benefits to in-house provision, such as stable working relationships, consistent methods, training of the future IOM workforce, and reduced long-term costs, which planned expansion of NHS services may provide. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - February 22, 2024 Category: Information Technology Source Type: research

Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks
This study, conducted with 28 participants using a qualitative approach, explores the benefits, shortcomings, and risks of using transformer models in healthcare. It analyses responses to seven open-ended questions using a simplified thematic analysis. Our research reveals seven benefits, including improved operational efficiency, optimized processes and refined clinical documentation. Despite these benefits, there are significant concerns about the introduction of bias, auditability issues and privacy risks. Challenges include the need for specialized expertise, the emergence of ethical dilemmas and the potential reductio...
Source: Journal of Medical Systems - February 17, 2024 Category: Information Technology Source Type: research

The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives
AbstractWithin the domain of Natural Language Processing (NLP), Large Language Models (LLMs) represent sophisticated models engineered to comprehend, generate, and manipulate text resembling human language on an extensive scale. They are transformer-based deep learning architectures, obtained through the scaling of model size, pretraining of corpora, and computational resources. The potential healthcare applications of these models primarily involve chatbots and interaction systems for clinical documentation management, and medical literature summarization (Biomedical NLP). The challenge in this field lies in the research ...
Source: Journal of Medical Systems - February 17, 2024 Category: Information Technology Source Type: research