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http://dx.doi.org/10.4244/EIJ-D-21-00731 | DOI Listing |
Ann Biomed Eng
September 2025
Department of Midwifery, Faculty of Health Sciences, Sakarya University, 54100, Sakarya, Turkey.
The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments.
View Article and Find Full Text PDFInt J Hyperthermia
December 2025
Department of Radiation Oncology Physics, University of Maryland, Baltimore, MD, USA.
Objective: To develop a deep learning method for fast and accurate prediction of Specific Absorption Rate (SAR) distributions in the human head to support real-time hyperthermia treatment planning (HTP) of brain cancer patients.
Approach: We propose an encoder-decoder neural network with cross-attention blocks to predict SAR maps from brain electrical properties, tumor 3D isocenter coordinates and microwave antenna phase settings. A dataset of 201 simulations was generated using finite-element modeling by varying tissue properties, tumor positions, and antenna phases within a human head model equipped with a three-ring phased-array applicator.
Front Digit Health
August 2025
FEN - Graduate School in Engineering, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil.
Background: This paper presents the application of simulation to assess the functionality of a proposed Digital Twin (DT) architecture for immunisation services in primary healthcare centres. The solution is based on Industry 4.0 concepts and technologies, such as IoT, machine learning, and cloud computing, and adheres to the ISO 23247 standard.
View Article and Find Full Text PDFPurpose: Experimental patient-specific quality assurance (PSQA) in proton therapy is a labor-intensive process requiring physical access to treatment rooms, beam time, and significant human resources. With the increasing complexity of treatment plans and the implementation of adaptive therapy, the need for efficient alternatives is pressing. Simulation-based techniques are proposed as a replacement or enhancement for experimental ones.
View Article and Find Full Text PDFResusc Plus
September 2025
Institut für Notfallmedizin und Medizinmanagement (INM), LMU Klinikum, LMU München, München, Germany.
Multicenter research designs are widely recognized for enhancing the generalizability and real-world applicability of findings across diverse healthcare settings. However, conducting experimental studies across international sites presents substantial methodological, logistical, and operational challenges. Quality CPR was a European multicenter simulation-based experimental study conducted across academic institutions in Portugal, Germany, and Finland.
View Article and Find Full Text PDF