Peer-assisted learning

INTRODUCTION: In parallel with a tremendous increase in medical PhD enrolments, concerns have risen about PhD candidates' poor well-being, increasing attrition rates for PhD programmes, and, eventually, a decline in clinician-scientists. According to the Self-Determination Theory, autonomous motivation is strongly linked to positive aspects of well-being and other positive outcomes such as study completion and success. In this way, motivation has a pivotal role in successful completion of medical doctoral programmes...

INTRODUCTION: Healthcare professions differ from each other, therefore need different approaches in teaching clinical practices. While teaching and learning designs for medical students are widely present on databases, few information is available for radiographers. The aim of this research is to define tools and knowledge needed to develop successful tutor-training programs that can be cross-cutting and inter-disciplinary for radiography profession, taking inspiration from other healthcare professions' programs since the paucity of evidence for radiographers...

INTRODUCTION: Teaching point-of-care ultrasonography (PoCUS) to medical students is resource intensive. Peer-assisted learning, where the teacher can be a medical student, may be a feasible alternative to expert-led learning. The objective of this systematic review and meta-analysis was to compare the PoCUS performance assessments of medical students receiving peer-assisted vs expert-led learning. METHODS: This study was submitted to PROSPERO (CRD42023383915) and reported with PRISMA guidelines...

INTRODUCTION: Lung cancer (LC) is the most common cause of cancer-related deaths worldwide. Its early detection can be achieved with a CT scan. Two large randomised trials proved the efficacy of low-dose CT (LDCT)-based lung cancer screening (LCS) in high-risk populations. The decrease in specific mortality is 20%-25%.Nonetheless, implementing LCS on a large scale faces obstacles due to the low number of thoracic radiologists and CT scans available for the eligible population and the high frequency of false-positive screening results and the long period of indeterminacy of nodules that can reach up to 24 months, which is a source of prolonged anxiety and multiple costly examinations with possible side effects...

"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence . This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. Purpose To develop a Weakly supervISed model DevelOpment fraMework (WISDOM) to construct a lymph node (LN) diagnosis model for patients with rectal cancer (RC) that uses preoperative MRI data coupled with postoperative patient-level pathologic information...

The nationwide scale-up of evidence-based and evidence-informed interventions has been widely recognized as a crucial step in ending the HIV epidemic. Although the successful delivery of interventions may involve intensive expert training, technical assistance (TA), and dedicated funding, most organizations attempt to replicate interventions without access to focused expert guidance. Thus, there is a grave need for initiatives that meaningfully address HIV health disparities while addressing these inherent limitations...

This review article presents an appraisal of pioneering technologies poised to revolutionize the diagnosis and management of aortic aneurysm disease, with a primary focus on the thoracic aorta while encompassing insights into abdominal manifestations. Our comprehensive analysis is rooted in an exhaustive survey of contemporary and historical research, delving into the realms of machine learning (ML) and computer-assisted diagnostics. This overview draws heavily upon relevant studies, including Siemens' published field report and many peer-reviewed publications...

INTRODUCTION: Establishing a supportive clinical environment is paramount for enhancing nursing students' engagement in clinical practice, their clinical proficiencies, and satisfaction. The increase in nursing student enrollment at the Nursing College, driven by the collaborative efforts between Abu Dhabi Health Services Company (SEHA) and universities, has given rise to concerns regarding the quality of education and clinical instruction. These concerns are primarily due to the increased student-to-instructor ratio...

BACKGROUND: Lung diseases, both infectious and non-infectious, are the most prevalent cause of mortality overall in the world. Medical research has identified pneumonia, lung cancer, and Corona Virus Disease 2019 (COVID-19) as prominent lung diseases prioritized over others. Imaging modalities, including X-rays, computer tomography (CT) scans, magnetic resonance imaging (MRIs), positron emission tomography (PET) scans, and others, are primarily employed in medical assessments because they provide computed data that can be utilized as input datasets for computer-assisted diagnostic systems...

BACKGROUND: There is a need to further understand the nature and role of planning for one's lifestyle in retirement. OBJECTIVE: The purpose of this study was to examine retirement planning and how it impacts perceived preparedness and satisfaction with the retirement transition, as well as to explore personal experiences of retirement. METHODS: Canadians ( n  = 748) fully or partly retired participated in an online survey that included quantitative questions about perceived retirement preparedness and satisfaction and open-ended questions about retirement goals, fears, challenges, and advice...

BACKGROUND: To improve the engagement and effectiveness of traditional health programs, it is necessary to explore alternative models of health education including video-assisted lectures and peer education. OBJECTIVE: This study aimed to evaluate the effects of a combination of video-assisted lectures and peer education on health literacy related to infectious diseases among students. METHODS: Third-grade classes from 11 pilot schools in Longgang District of Shenzhen, China, were randomized to the intervention and control groups...

PURPOSE: Peer-assisted learning (PAL) can occur informally as part of a medical programme and complements the formal curriculum. However, little is known about the mechanisms and processes of how informal peer-assisted learning (IPAL) is enacted. MATERIALS AND METHODS: This paper presents data from an ethnographic and semi-structured interview study with Year 1 and 2 undergraduate medical students at a UK university. RESULTS: Peers were observed assisting each other informally: a process that developed as part of the integrated, group-based approach to undergraduate medical education at a UK university...

BACKGROUND: Human-centric artificial intelligence (HCAI) aims to provide support systems that can act as peer companions to an expert in a specific domain, by simulating their way of thinking and decision-making in solving real-life problems. The gynaecological artificial intelligence diagnostics (GAID) assistant is such a system. Based on artificial intelligence (AI) argumentation technology, it was developed to incorporate, as much as possible, a complete representation of the medical knowledge in gynaecology and to become a real-life tool that will practically enhance the quality of healthcare services and reduce stress for the clinician...

As countries transition from external assistance while pursuing ambitious plans to achieve universal health coverage (UHC), there is increasing need to facilitate knowledge sharing and learning among them. Country-led and country-owned knowledge management is foundational to sustainable, more equitable external assistance for health and is a useful complement to more conventional capacity-building modalities provided under external assistance. In the context of external assistance, few initiatives use country-to-country sharing of practitioner experiences, and link learning to receiving guidance on how to adapt, apply and sustain policy changes...

The initial phase of the COVID-19 pandemic changed the nature of course delivery from largely in-person to exclusively remote, thus disrupting the well-established pedagogy of the Genomics Education Partnership (GEP; https://www.thegep.org). However, our web-based research adapted well to the remote learning environment. As usual, students who engaged in the GEP's Course-based Undergraduate Research Experience (CURE) received digital projects based on genetic information within assembled Drosophila genomes...

AIMS: Machine-learning (ML) prediction models in orthopaedic trauma hold great promise in assisting clinicians in various tasks, such as personalized risk stratification. However, an overview of current applications and critical appraisal to peer-reviewed guidelines is lacking. The objectives of this study are to 1) provide an overview of current ML prediction models in orthopaedic trauma; 2) evaluate the completeness of reporting following the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement; and 3) assess the risk of bias following the Prediction model Risk Of Bias Assessment Tool (PROBAST) tool...

BACKGROUND: Workplace-Based Assessment (WPBA) has been widely utilized for assessing performance in training sites for both formative and summative purposes. Currently, with the recently updated duration of the family medicine (FM) training program in Saudi Arabia from four years to three years, the possible impact of such a change on assessment would need to be investigated. This objective was to explore the experiences of FM residents regarding the usage of WPBA as an assessment tool for improving clinical teaching at King Abdulaziz Hospital (KAH), Al Ahsa, Saudi Arabia...

Robotic-Assisted Surgery (RAS) is experiencing rapid expansion, prompting the integration of robotic technical skills training into surgical education programs. As access to robotic training platforms remains limited, it is important to investigate the transferability of laparoscopic skills to RAS. This could potentially support the inclusion of early years laparoscopic training to mitigate the learning curve associated with robotic surgery. This study aims to assess the transferability of laparoscopic skills to robotic surgery...

The use of Artificial Intelligence (AI) is rapidly expanding. While it comes with some drawbacks, it also offers numerous advantages. One significant application of AI is chatbots, which utilize natural language processing and machine learning to provide information, answer queries, and assist users. AI has various applications and dentistry is no exception. The authors conducted an experiment to assess the application of AI, particularly OpenAI's ChatGPT and Google Apps Script, in various stages of information gathering and manuscript preparation in parallel with conventional human-driven approaches...

Mohs micrographic surgery (MMS) is a cornerstone of dermatological practice. Virtual reality (VR) and augmented reality (AR) technology, initially used for entertainment, have entered healthcare, offering real-time data overlaying a surgeon's view. This paper explores potential applications of VR and AR in MMS, emphasizing their advantages and limitations. We aim to identify research gaps to facilitate innovation in dermatological surgery. We conducted a PubMed search using the following: "augmented reality" OR "virtual reality" AND "Mohs" or "augmented reality" OR "virtual reality" AND "surgery...