Shifting Trends of Antimicrobial Resistance Patterns Among Uropathogenic Bacteria Before and During the COVID-19 Pandemic.

Urinary tract infections (UTIs) represent a significant global health concern, primarily caused by uropathogenic bacteria and their rising trend of antimicrobial resistance (AMR). This study investigates the prevalence and pattern of AMR among uropathogenic bacteria during the COVID-19 pandemic, highlighting its impact on antimicrobial usage and resistance trends. This retrospective cross-sectional study, conducted at King Fahad Medical City, Riyadh, Saudi Arabia, from January 1, 2018, to December 31, 2022, analyzed 10,031 patients with positive urine cultures for resistance patterns pre-COVID-19 and during COVID-19.

Exploring online health resources and self-care among irritable bowel syndrome patients: analyzing internet use and AI chatbot interactions.

Background: The increasing prevalence of irritable bowel syndrome (IBS) in Saudi Arabia has led to a growing interest in understanding how patients seek health information online. While it is known that digital platforms, such as search engines, social media, and artificial intelligence (AI) chatbots, are commonly used for health information seeking, there is limited knowledge about the specific behaviors of IBS patients in this context and how these behaviors correlate with their self-care activities. This study aimed to explore online health information-seeking behavior and its correlation with self-care activities among patients with IBS in Saudi Arabia, focusing on the use of these digital platforms.

The scientific knowledge of three large language models in cardiology: multiple-choice questions examination-based performance.

Background: The integration of artificial intelligence (AI) chatbots like Google's Bard, OpenAI's ChatGPT, and Microsoft's Bing Chatbot into academic and professional domains, including cardiology, has been rapidly evolving. Their application in educational and research frameworks, however, raises questions about their efficacy, particularly in specialized fields like cardiology. This study aims to evaluate the knowledge depth and accuracy of these AI chatbots in cardiology using a multiple-choice question (MCQ) format.

Decline in ESBL Production and Carbapenem Resistance in Urinary Tract Infections among Key Bacterial Species during the COVID-19 Pandemic.

The COVID-19 pandemic has led to significant changes in healthcare practices, including increased antibiotic usage. This study aimed to investigate the impact of the pandemic on the prevalence of extended-spectrum β-lactamase (ESBL) production and carbapenem resistance among key bacterial species causing urinary tract infections (UTIs). Conducted at King Fahad Medical City in Riyadh from January 2018 to December 2022, the study analyzed urine samples from 9697 UTI patients.

Navigating Novel Uncertainties of COVID-19: The Rise of the JN.1 Variant.

In the shadow of the coronavirus disease 2019 (COVID-19) pandemic, the emergence of the JN.1 variant highlights the need for continued vigilance. This Editorial examines the characteristics of JN.

Palliative Care in Saudi Arabia: An Updated Assessment Following the National Vision 2030 Reforms.

Palliative care (PC) plays a crucial role in improving the quality of life for terminally ill patients and their families. In Saudi Arabia, the Reform of Healthcare Vision 2030 has recognized the importance of PC and aimed to enhance its availability and quality. This study evaluates the current state of PC in Saudi Arabia post-Vision 2030 reforms.

Artificial Intelligence (AI) Chatbots in Medicine: A Supplement, Not a Substitute.

This editorial discusses the role of artificial intelligence (AI) chatbots in the healthcare sector, emphasizing their potential as supplements rather than substitutes for medical professionals. While AI chatbots have demonstrated significant potential in managing routine tasks, processing vast amounts of data, and aiding in patient education, they still lack the empathy, intuition, and experience intrinsic to human healthcare providers. Furthermore, the deployment of AI in medicine brings forth ethical and legal considerations that require robust regulatory measures.

Snakebite Advice and Counseling From Artificial Intelligence: An Acute Venomous Snakebite Consultation With ChatGPT.

Background: Snakebites, particularly from venomous species, present a significant global public health challenge. Access to accurate and timely information regarding snakebite prevention, recognition, and management is crucial for minimizing morbidity and mortality. Artificial intelligence (AI) language models, such as ChatGPT (Chat Generative Pre-trained Transformer), have the potential to revolutionize the dissemination of medical information and improve patient education and satisfaction.

Bacterial Pathogens and Antimicrobial Susceptibility Patterns of Urinary Tract Infections in Children during COVID-19 2019-2020: A Large Tertiary Care Center in Saudi Arabia.

Background: One of the most prevalent bacterial infections in children is urinary tract infection (UTI), which has become a major concern with increasing resistance of the pathogens to the routinely used antimicrobial agents. The aim of the study is to determine the antimicrobial susceptibility patterns of pediatric UTI-causing pathogens, including ESBL-producing bacteria, in Saudi Arabia.

Methods: This cross-sectional retrospective study was conducted to ascertain the frequency of isolation and the antimicrobial resistance pattern of uropathogens among children aged 0-15 years.