Blockchain in Critical Care.

Background And Aims: Intensive care units (ICUs) face growing challenges with cybersecurity, data interoperability, medication safety, and resource management in an increasingly digital healthcare environment. This review explores how blockchain technology can address these issues and improve critical care delivery.

Data Sources: Relevant literature was sourced from peer-reviewed journals, healthcare cybersecurity reports, and studies on blockchain applications in medical settings.

Assessment of the Awareness of Pre-anesthesia Evaluations Among Healthcare Beneficiaries in a Tertiary Teaching Hospital in Central India: A Questionnaire-Based Survey.

Background Pre-anesthesia evaluations (PAEs) play a crucial role in enhancing the safety of surgical procedures. This study aimed to assess the patients' understanding of PAEs in a tertiary care teaching hospital in Central India, identifying knowledge gaps and demographic disparities. Methods A cross-sectional study involving 413 patients and their attendants, attending the pre-admission anesthesia consultation (PAC) clinic, was conducted.

Artificial intelligence chatbots versus traditional medical resources for patient education on "Labor Epidurals": an evaluation of accuracy, emotional tone, and readability.

Background: Labor epidural analgesia is a widely used method for pain relief in childbirth, yet information accessibility for expectant mothers remains a challenge. Artificial intelligence (AI) chatbots like Chat Generative Pre-Trained Transformer (ChatGPT) and Google Gemini offer potential solutions for improving patient education. This study evaluates the accuracy, readability, and emotional tone of AI chatbot responses compared to the American Society of Anesthesiologists (ASA) online materials on labor epidurals.

The Psychological Burden of Surgery During a Pandemic: Evaluating Preoperative Anxiety in the COVID-19 Era.

Background The COVID-19 pandemic has introduced unprecedented challenges to global healthcare systems, including heightened psychological stress among patients. This study evaluates the preoperative anxiety levels among patients scheduled for surgery during the COVID-19 pandemic. Methods This cross-sectional observational study was conducted between April 2020 and March 2022.

Comparative Analysis of Accuracy, Readability, Sentiment, and Actionability: Artificial Intelligence Chatbots (ChatGPT and Google Gemini) versus Traditional Patient Information Leaflets for Local Anesthesia in Eye Surgery.

Background And Aim: Eye surgeries often evoke strong negative emotions in patients, including fear and anxiety. Patient education material plays a crucial role in informing and empowering individuals. Traditional sources of medical information may not effectively address individual patient concerns or cater to varying levels of understanding.

End-of-life Care Patient Information Leaflets-A Comparative Evaluation of Artificial Intelligence-generated Content for Readability, Sentiment, Accuracy, Completeness, and Suitability: ChatGPT vs Google Gemini.

Background: End-of-life care (EOLC) is a critical aspect of healthcare, yet accessing reliable information remains challenging, particularly in culturally diverse contexts like India.

Objective: This study investigates the potential of artificial intelligence (AI) in addressing the informational gap by analyzing patient information leaflets (PILs) generated by AI chatbots on EOLC.

Methodology: Using a comparative research design, PILs generated by ChatGPT and Google Gemini were evaluated for readability, sentiment, accuracy, completeness, and suitability.

Comparing patient education tools for chronic pain medications: Artificial intelligence chatbot versus traditional patient information leaflets.

Background And Aims: Artificial intelligence (AI) chatbots like Conversational Generative Pre-trained Transformer (ChatGPT) have recently created much buzz, especially regarding patient education. Such informed patients understand and adhere to the management and get involved in shared decision making. The accuracy and understandability of the generated educational material are prime concerns.

and gene modulation following pregabalin and duloxetine combination for painful diabetic polyneuropathy.

Diabetic peripheral neuropathy (DPN) induces chronic neuropathic pain in diabetic patients. Current treatments like pregabalin and duloxetine offer limited efficacy. This study evaluates combining pregabalin and duloxetine versus pregabalin alone for DPN pain relief, and explores gene modulation ( and ) to understand neuropathic pain's molecular basis.

Modulation of the Extracellular Signal-Regulated Protein Kinase and Tissue Inhibitors of Matrix Metalloproteases-1 Gene in Chronic Neuropathic Pain.

Objectives: The aim of this study is to study the modulation of extracellular signal-regulated protein kinase (ERK) and tissue inhibitors of matrix metalloproteases 1 (TIMP 1) gene in patients with neuropathic pain (NP).

Materials And Methods: In the present, cross-sectional, observational study, 2 ml of venous baseline sample was withdrawn from all the patients with neuropathic (NP) or non NP (NNP) soon after their diagnosis or on their first visit to the pain clinic. A real-time quantitative polymerase chain reaction experiment was conducted to measure the mRNA expression of TIMP1 and ERK genes in blood samples.

Testing Olfactory and Gustatory Dysfunctions among Quarantine COVID-19 Suspects.

The World Health Organization (WHO) has cautioned on specific respiratory symptoms for suspecting an individual of Corona Virus Disease 2019 (COVID-19). Meanwhile, many suspects are reporting dysfunctions of smell and taste. This study aimed to investigate the percentage of positive COVID-19 who had associated loss of sensation as detected by psychophysical testing.