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[The emancipatory perspective of health literacy in Brazil: contributions from the Freirean thought to knowledge translation regarding a global concept].
Cad Saude Publica
January 2025
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.
This article seeks to reveal the potential for applying key principles of Freirean pedagogy for the effective translation of knowledge and practices associated with the concept of health literacy followed worldwide, based on a critical and emancipatory perspective. It starts from the observation that the process of adopting the concept in Brazil has been more utilitarian than critical, with initiatives predominantly focused on the translation and use of instruments to assess health literacy among population groups. In doing so, this approach has overlooked the academic contributions, practical actors, and social movements in various regions of the country, regarding the application of principles and values of Paulo Freire's thought for the emancipatory promotion of health for individuals and population groups.
View Article and Find Full Text PDF[Implementation and evaluation of a solution for automated documentation of the doctor-patient dialogue (ADAPI) in ophthalmology using the example of the IVI routine].
Ophthalmologie
January 2025
Augenklinik Sulzbach, Knappschaftsklinikum Saar, An der Klinik 10, 66280, Sulzbach/Saar, Deutschland.
Background: The increasing bureaucratic burden in everyday clinical practice impairs doctor-patient communication (DPC). Effective use of digital technologies, such as automated semantic speech recognition (ASR) with automated extraction of diagnostically relevant information can provide a solution.
Objective: The aim was to determine the extent to which ASR in conjunction with semantic information extraction for automated documentation of the doctor-patient dialogue (ADAPI) can be integrated into everyday clinical practice using the IVI routine as an example and whether patient care can be improved through process optimization.
Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach.
PLoS Comput Biol
January 2025
Electrical and Computer Engineering Department, Concordia University, Montreal, Canada.
Astrocytes critically shape whole-brain structure and function by forming extensive gap junctional networks that intimately and actively interact with neurons. Despite their importance, existing computational models of whole-brain activity ignore the roles of astrocytes while primarily focusing on neurons. Addressing this oversight, we introduce a biophysical neural mass network model, designed to capture the dynamic interplay between astrocytes and neurons via glutamatergic and GABAergic transmission pathways.
View Article and Find Full Text PDFThe Future of Parenthood? Examining the Promise and Complexity of Pregnancy Robots in Reproductive Health.
J Med Syst
January 2025
Department of Pharmacology, MGM Medical College & Hospital, MGM Institute of Health Sciences (MGMIHS), Nerul, Navi Mumbai, 400706, India.
Advancements in reproductive technology are now approaching an unprecedented frontier: the pregnancy robot, a potential artificial womb capable of carrying a fetus from fertilization to birth. This innovation, by simulating the natural uterine environment, could redefine pregnancy and parenthood, offering transformative benefits for maternal and infant health. The pregnancy robot promises safer pathways for individuals with medical risks, LGBTQ + couples, and single parents, while also reducing the risks of complications like preeclampsia and preterm birth.
View Article and Find Full Text PDFIntegrating Sensor Technologies with Conversational AI: Enhancing Context-Sensitive Interaction Through Real-Time Data Fusion.
Sensors (Basel)
January 2025
Department of Instruction and Leadership, Duquesne University, Pittsburgh, PA 15282, USA.
This article examines how sensor technologies (such as environmental sensors, biometric sensors, and IoT devices) intersect with conversational AI models like ChatGPT 4.0. In particular, this article explores how data from different sensors in real time can improve AI models' comprehension of surroundings, user contexts, and physical conditions.
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