Artificial intelligence (AI) applications have transformed healthcare. This study is based on a general literature review uncovering the role of AI in healthcare and focuses on the following key aspects: (i) medical imaging and diagnostics, (ii) virtual patient care, (iii) medical research and drug discovery, (iv) patient engagement and compliance, (v) rehabilitation, and (vi) other administrative applications. The impact of AI is observed in detecting clinical conditions in medical imaging and diagnostic services, controlling the outbreak of coronavirus disease 2019 (COVID-19) with early diagnosis, providing virtual patient care using AI-powered tools, managing electronic health records, augmenting patient engagement and compliance with the treatment plan, reducing the administrative workload of healthcare professionals (HCPs), discovering new drugs and vaccines, spotting medical prescription errors, extensive data storage and analysis, and technology-assisted rehabilitation. Nevertheless, this science pitch meets several technical, ethical, and social challenges, including privacy, safety, the right to decide and try, costs, information and consent, access, and efficacy, while integrating AI into healthcare. The governance of AI applications is crucial for patient safety and accountability and for raising HCPs’ belief in enhancing acceptance and boosting significant health consequences. Effective governance is a prerequisite to precisely address regulatory, ethical, and trust issues while advancing the acceptance and implementation of AI. Since COVID-19 hit the global health system, the concept of AI has created a revolution in healthcare, and such an uprising could be another step forward to meet future healthcare needs.

Purpose: This paper aims to examine the challenges faced by health-care leadership in teaching hospitals in attaining accreditation for their institutions. Design/methodology/approach: This paper is based on a study of current literature on health-care leadership, hospital accreditation and quality of patient care and identifies the challenges facing health-care leadership in attaining accreditation for teaching hospitals. Findings: Based on a review and analysis of literature, infrastructure, finance, legal support, workforce recruitment and training, documentation and technology are identified as challenges faced by health-care leadership in teaching hospitals. The key challenges facing health-care leadership with respect to medical education and clinical research are found to be integration of education into hospital operations, compliance with all regulatory and professional requirements and adequacy of resources in executing research programs. Originality/value: This study draws the attention of health-care leadership in teaching hospitals on the challenges they face in obtaining accreditation for their institutions so that they may develop appropriate strategies to overcome them.

Accumulation of methylglyoxal (MG) arising from downregulation of its primary degrading enzyme glyoxalase-1 (Glo1) is an underlying cause of diabetic cardiomyopathy (DC). This study investigated if expressing Glo1 in rat hearts shortly after the onset of Type 1 diabetes mellitus (T1DM) would blunt the development of DC employing the streptozotocin-induced T1DM rat model, an adeno-associated virus containing Glo1 driven by the endothelin-1 promoter (AAV2/9-Endo-Glo1), echocardiography, video edge, confocal imaging, and biochemical/histopathological assays. After eight weeks of T1DM, rats developed DC characterized by a decreased E:A ratio, fractional shortening, and ejection fraction, and increased isovolumetric relaxation time, E: e’ ratio, and circumferential and longitudinal strains. Evoked Ca²⁺ transients and contractile kinetics were also impaired in ventricular myocytes. Hearts from eight weeks T1DM rats had lower Glo1 and GSH levels, elevated carbonyl/oxidative stress, microvascular leakage, inflammation, and fibrosis. A single injection of AAV2/9 Endo-Glo1 (1.7 × 10¹² viron particles/kg) one week after onset of T1DM, potentiated GSH, and blunted MG accumulation, carbonyl/oxidative stress, microvascular leakage, inflammation, fibrosis, and impairments in cardiac and myocyte functions that develop after eight weeks of T1DM. These new data indicate that preventing Glo1 downregulation by administering AAV2/9-Endo-Glo1 to rats one week after the onset of T1DM, blunted the DC that develops after eight weeks of diabetes by attenuating carbonyl/oxidative stresses, microvascular leakage, inflammation, and fibrosis.

Multidrug-resistant Acinetobacter baumannii emerged as a threatening “superbug” with significant morbidity and mortality and limited antimicrobial therapy options. The results of different antibiotic combination studies are heterogeneous and controversial. Further comparative studies are crucial to overcome such difficult-to-treat infections and to improve patient outcomes. This study investigates the mortality and outcomes of colistin versus colistin-based combination therapy for infections caused by Multidrug-resistant Acinetobacter baumannii in critically ill patients. A retrospective observational study was conducted at an academic tertiary hospital in Khobar City, Eastern Province, Saudi Arabia. Patients who fulfilled the inclusion criteria and were admitted from January 1, 2017, to December 31, 2022, were included. The investigated primary outcome was 30-day mortality, while secondary outcomes were one-year all-cause mortality, clinical cure, microbiologic eradication, and recurrence of Acinetobacter infections. Statistical comparisons were employed, and a P-value of ≤ .05 was considered significant. Of the 178 patients who fulfilled the inclusion criteria, 47 received colistin only, and 131 received colistin in combinations (55 with carbapenems, 53 with tigecycline, and 23 with both). The estimated 30-day mortality rate of the study population was 22.5%, with statistically insignificant differences in 30-day mortality rates when the colistin group compared to cumulative colistin-based combination (23.4% vs. 22.1%; difference, 1.3 percentage points; 95% confidence interval [CI], 0.487–2.371; P = 0.858) or subgroups. However, colistin-based combination groups showed better secondary outcomes, with significantly less all-cause mortality and better clinical cure in colistin combination with carbapenems or tigecycline and less Acinetobacter infection recurrence in combination with carbapenems. The study findings demonstrate the benefits of investigated colistin combination options that result in less one-year all-cause mortality, better clinical cure, higher microbiologic response, and less infection recurrence. However, no significant differences were observed regarding 30-day mortality. In addition, the study highlights the limitations of the available antimicrobial options and the crucial need for new effective antimicrobials and more successful combinations.

Given the current state of COVID-19, it is crucial to reveal its evolving relationship with and effect on different body organ systems and their diseases. The severity and outcome of COVID-19 have a very complex relationship, especially to the vital organs including the kidney, either in their state of health or disease. Additionally, it is well known that diabetes affects the kidney, leading to diabetic nephropathy. The kidney is also affected by different pathological and immunopathological reactions with COVID-19 infection, leading to acute kidney injury. Therefore, this review intended to extract the recent advances, updates, and discoveries about the effects of COVID-19 on diabetic patients and the relationship between COVID-19 invasion and the diabetic kidney and to discuss the current state of knowledge that has not yet been proved or disproved, leading to numerous controversial issues in looking for the effect of COVID-19 associated with diabetes mellitus on the human kidney.

The COVID-19 pandemic continues with new waves that could persist with the arrival of new SARS-CoV-2 variants. Therefore, the availability of validated and effective triage tools is the cornerstone for proper clinical management. Thus, this study aimed to assess the validity of the ISARIC-4C score as a triage tool for hospitalized COVID-19 patients in Saudi Arabia and to compare its performance with the CURB-65 score. This retrospective observational cohort study was conducted between March 2020 and May 2021 at KFHU, Saudi Arabia, using 542 confirmed COVID-19 patient data on the variables relevant to the application of the ISARIC-4C mortality score and the CURB-65 score. Chi-square and t-tests were employed to study the significance of the CURB-65 score and the ISARIC-4C score variables considering the ICU requirements and the mortality of COVID-19 hospitalized patients. In addition, logistic regression was used to predict the variables related to COVID-19 mortality. In addition, the diagnostic accuracy of both scores was validated by calculating sensitivities, specificities, positive predictive value, negative predictive value, and Youden's J indices (YJI). ROC analysis showed an AUC value of 0.834 [95% CI; 0.800–0.865]) for the CURB-65 score and 0.809 [95% CI; 0.773–0.841]) for the ISARIC-4C score. The sensitivity for CURB-65 and ISARIC-4C is 75% and 85.71%, respectively, while the specificity was 82.31% and 62.66%, respectively. The difference between AUCs was 0.025 (95% [CI; −0.0203-0.0704], p = 0.2795). Study results support external validation of the ISARIC-4C score in predicting the mortality risk of hospitalized COVID-19 patients in Saudi Arabia. In addition, the CURB-65 and ISARIC-4C scores showed comparable performance with good consistent discrimination and are suitable for clinical utility as triage tools for hospitalized COVID-19 patients.