Pediatric asthma is a major public health concern, considering its chronic nature and negative effects on quality of life of affected children. Telemedicine is efficacious in providing pharmaceutic...

In the absence of definitive treatment, vaccination against COVID-19 emerged as an effective solution to the spread of the pandemic. This study aimed to investigate the factors impacting the rates ...

Background/Objectives: The increasing application of artificial intelligence (AI) and machine learning (ML) in health and medicine has attracted a great deal of research interest in recent decades. This study aims to provide a global and historical picture of research concerning AI and ML in health and medicine. Methods: We used the Scopus database for searching and extracted articles published between 2000 and 2024. Then, we generated information about productivity, citations, collaboration, most impactful research topics, emerging research topics, and author keywords using Microsoft Excel 365 and VOSviewer software (version 1.6.20). Results: We retrieved a total of 22,113 research articles, with a notable surge in research activity in recent years. Core journals were Scientific Reports and IEEE Access, and core institutions included Harvard Medical School and the Ministry of Education of the People’s Republic of China, while core countries comprised the United States, China, India, the United Kingdom, and Saudi Arabia. Citation trends indicated substantial growth and recognition of AI’s and ML impact on health and medicine. Frequent author keywords identified key research hotspots, including specific diseases like Alzheimer’s disease, Parkinson’s diseases, COVID-19, and diabetes. The author keyword analysis identified “deep learning”, “convolutional neural network”, and “classification” as dominant research themes. Conclusions: AI’s transformative potential in AI and ML in health and medicine holds promise for improving global health outcomes.

Background: Hydatid disease is an endemic disease in many countries of the world including the Middle East. It mainly affects the liver and lungs. Intramuscular hydatid disease is rarely reported in children. Such uncommon localization of hydatid cyst may pose difficulties in the clinical and radiological diagnosis; hence affecting patient’s management and outcome even in endemic areas. Case presentation: We herein describe intramuscular hydatid cysts in 2 different children. The first case is a 5-year-old boy who presented with a painless palpable lump over the right lumbar paraspinal region. His history was remarkable for sheep contact. His laboratory results revealed a mild increase in white blood cell (WBC) count and C-reactive protein. The lesion showed typical features of a hydatid cyst on ultrasound. Further imaging including ultrasound of the abdomen and CT of the chest, abdomen, and pelvis showed infestation of the liver and lung as well. The lesions were resected surgically without complications. The patient received Albendazole preoperatively and after surgery for 3 months. No evidence of recurrence was seen during follow-up. The second case is a 6-year-old girl who presented with an incidental palpable lump in her left thigh during her hospital admission for recurrent meningitis. Ultrasound and MRI imaging were performed demonstrating a unilocular cystic lesion in the left proximal rectus femoris muscle. A provisional diagnosis of hematoma vs. myxoma was given. Biopsy was performed and yielded blood products only. The lesion was resected surgically with a postoperative diagnosis of hydatid cyst. Blood tests performed afterward showed a positive titer for Echinococcus. The patient received Albendazole for 3 months. No evidence of recurrence was seen during follow-up. Conclusions: Despite its rarity; skeletal muscle hydatid cyst should always be considered in the differential diagnosis of cystic muscle lesions in children in endemic areas even if imaging studies did not show any of the typical signs. This will improve patient outcome by preventing unnecessary cystic puncture which might lead to serious complications, such as anaphylaxis and local dissemination.

Background: Deprescribing refers to the partnered discontinuation of chronic medications to limit the negative impacts of polypharmacy. Polymedicated patients play a key role in the success of deprescribing efforts. eHealth literacy reflects patients' ability to appraise electronically available health-related information to make informed health care decisions, which partly reflect their desire to deprescribe. Objectives: The current study aimed to explore the relationship between eHealth literacy and willingness to deprescribe among patients with chronic diseases. Additionally, the predictors of willingness to deprescribe were examined. Materials and Methods: This cross-sectional study was conducted among adult patients with chronic diseases in Jordan. An online questionnaire comprising two validated tools, namely the Electronic Health Literacy Scale (eHEALS) and the Revised Patients' Attitudes Toward Deprescribing (rPATD) Questionnaire, was used for data collection. The questionnaire targeted adult patients with chronic medical conditions in Jordan and was posted to social media portals, following a convenience sampling technique. Results: A total of 719 responses were recorded and included in the final analysis. Participants with higher levels of eHealth literacy were more willing to get their medications deprescribed, as indicated by the perceived use of unneeded medications ( p = 0.042). Meanwhile, participants with low levels of eHealth literacy were more likely to report fear of missing out on the potential benefits of deprescribed medications ( p = 0.003). Other items that were commonly agreed upon by both the low and high eHealth literacy groups, respectively, included desire for dose reduction ( p < 0.001, p < 0.001), belief in the lack of effectiveness of some prescribed medications ( p < 0.001, p < 0.001), and fear of precipitating side effects ( p = 0.001, p = 0.007). Conclusions: The present study highlighted the relationship between eHealth literacy and a number of items reflecting willingness to deprescribe, and these indicators can be used to guide future deprescribing efforts among eligible patients.

Antimicrobial stewardship programs are of paramount importance in containing antibiotic resistance and combat the acquisition of multi-drug resistance strains. Healthcare practitioners, specifically physicians and clinical pharmacists are the direct clinical antibiotic prescribing authorities. Therefore, this study aimed to assess Jordanian practitioners' perceptions and practices towards antimicrobial stewardship programs. This was a cross-sectional study, in which physicians and clinical pharmacists were approached to fill out a previously validated study instrument. A close-ended structured questionnaire comprising 34 questions covering aspects related to antimicrobial stewardship program perceptions, practices and participants' demographic data were used to collect pertinent information. A total of 286 participants were enrolled in the study. There was an overall positive perception towards antimicrobial stewardship programs, while practices related to this element was still suboptimal. Additional comparison of the overall perception scores among different demographic characteristics showed that long years of practice, postgraduate studies and practice in academic sectors yielded higher perception scores (P = 0.0335, 0.0328 and 0.0007, respectively). There is an imminent need to enhance Jordanian practitioners' knowledge about antimicrobial stewardship programs. Clear recognition of integral antimicrobial stewardship programs' components must be coupled with highlight changes in current practices related to antimicrobials usage and prescription.