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The integration of artificial intelligence (AI) technology into various fields, particularly healthcare, has demonstrated considerable potential in improving efficiency and accuracy. However, the potential risks associated with unprofessional or inappropriate use of AI cannot be overlooked. The current landscape of healthcare demonstrates a growing reliance on AI tools, which is expected to expand in the future. The existing literature highlights the effectiveness  of various AI applications, including chatbots, in specific medical domains. This study aims to review relevant literature in the pharmaceutical and galenic fields while evaluating a prominent AI chatbot provider. Based on the findings, this article presents critical considerations for researchers and practitioners. A thorough assessment of the benefits and risks associated with AI technologies is essential as these tools become increasingly prevalent in pharmaceutical practices.

Objectives: Hospitalization following a head injury is associated with high rates of disability that have a strong correlation with depression, anxiety, and low self-esteem. Well-being is related to life satisfaction, quality of life, happiness, personal growth and flourishing, competence, self-acceptance, positive relationships, and autonomy. The well-being of patients and their primary caregivers is important when a patient is left with impaired mobility after neurosurgery. The aim of this study is to examine whether the well-being of patients and their primary caregivers will differ before and after neurosurgery, and whether well-being differs between patients with motor disability (WMD group) and those without, compared to those who are not - NMD group (non-motor disability).Methodology: 123 patients and their main caregivers were recruited. Of these, 62 were in the before neurosurgical group, 31 Patients and 31 caregivers. 61 in the after neurosurgical group, 30 Patients and 31 caregivers, of which there are 16 from WMD group and 15 from NMD. Main outcome measures: Two analyses of Variance (ANOVA) were conducted: for WMD and NMD separately. The results reveal a significant decrease in wellbeing for both, patient and main caregivers, but a stronger decline in well-being was observed among WMD, as indicated by a larger effect size (η² = 0.74) compared to the NMD (η² = 0.38). In addition, no significant effect between group and time of measurement was found, indicating that the decrease in wellbeing was not different among patients compared to their main caregivers. Conclusion: The findings highlight the multifaceted impact of neurosurgery on well-being, particularly for patients who remain with motor disabilities and their primary caregivers.The decline in well-being after neurosurgery highlights the need for improved social support and the importance of developing treatment programs that can help ease the process of coping with these phenomena and provide appropriate support for both patients and their primary caregivers.

Traditional Chinese medicine (TCM) has been used to serve people since antiquity in China, and still has an important role in today’s healthcare. As the outbreak of coronavirus disease 2019 (COVID-19) globally, TCM has played an important role in the fight against COVID-19 in China and other countries. However, scientists outside China doubted TCM. The philosophy of TCM in the description of diseases and the use of herbal medicines is difficult to understand for Western scientists. This article explains the philosophy of TCM using chromatic analogies to make it easily understandable and visually intuitive.

Introduction: Flow analysis in the apical view of transthoracic echocardiography is validated to assess fluid responsiveness at the bedside. Still, it is not always reachable, especially in mechanically ventilated patients and during surgery. We compared it to supra-sternal and sub-xiphoid views to evaluate their validity in assessing fluid responsiveness in critically ill patients.Method: A cross-sectional prospective monocentric pilot study of three months duration has been led in the critical care unit for surgical emergencies of Ibn Sina University Hospital of Rabat (Morocco). We used the time-velocity index (VTI) and peak velocity variation (∆Vpeak) values correlation between the three acoustic windows as the main judgment criteria. Measurement of data was made in the Left Ventricle Outflow Tract (LVOT) in the 5-chamber apical view, Descending Thoracic Aorta (DTA) in the supra-sternal view, and Right Ventricle Outflow Tract (RVOT) in the sub-xiphoid view.Results: There were 14 adult patients involved in the study, and the data presented are preliminary results. There was no significant difference in VTI and ∆Vpeak values between the three acoustic windows at each time of the study protocol, with a very high correlation for initial VTI value between 5-chamber apical view and supra-sternal view (r = 0.96, p < 0.001), and sub-xiphoid view (r = 0.86, p < 0.001). A very high correlation of initial ∆Vpeak value was also observed between the 5-chamber apical view and supra-sternal view (rho = 0.89, p < 0.001) and sub-xiphoid view (rho = 0.79, p < 0.001).Discussion: Supra-sternal and sub-xiphoid views showed high potential to predict fluid responsiveness, but further data are needed to validate their use for this purpose in ICU and in operating room.