Advancements in oligometastatic breast cancer: a comprehensive review of current strategies and the role of artificial intelligence.

In the dynamic landscape of Breast Cancer (BC), Oligo- Metastatic Breast Cancer (OMBC) presents unique challenges and opportunities. This comprehensive review delves into current strategies for addressing OMBC, covering locoregional and site-specific metastasis management, and addressing both surgical and minimally invasive therapies as essential components. Moreover, the transformative role of Artificial Intelligence (AI) is spotlighted. However, while the future looks promising, several limitations need addressing, including the need for further research, especially in diverse patient populations and resource-challenged settings. AI implementation may require overcoming the lack of Electronic Health Records acceptance in resource-challenged countries, which contributes to a scarcity of large datasets for AI training. As AI continues to evolve, validation and regulatory aspects must be continually addressed for seamless integration into clinical practice. In summary, this review outlines the evolving landscape of OMBC management, emphasizing the need for comprehensive research, global collaboration, and innovative AI solutions to enhance patient care and outcomes.

Factors associated with medical students' career choices at a private university: a cross-sectional study.

This study aimed to identify the factors associated with students' career choices and the decision whether they wanted to be trained abroad or in Pakistan. The study utilised a cross-sectional design and was conducted between July 2021 and February 2022. An anonymous survey was distributed among the medical students at Aga Khan University, Karachi, Pakistan. All analysis was carried out using Stata 17. A total of 269 students participated in the study. The most sought-after specialties were surgery 68 (25.3%), medicine 25(9.3%), and paediatrics 14(5.2%), and the decision was highly influenced by positive mentors and lifestyle. In addition, 259 (96%) of the students expressed a desire to practice abroad for training due to higher financial prospects and quality of training. This study revealed that providing enthusiastic mentors may encourage medical students to pursue a broader range of specialties. Furthermore, there is a need for advances in postgraduate training and increase in salaries to restore trust in Pakistan's healthcare system.

Hybridizing video-based learning with simulation for flipping the clinical skills learning at a university hospital in Pakistan.

BACKGROUND: While learning and practicing on actual patients is a major mode of teaching clinical skills, concerns about patient safety, unavailability, and lack of standardization have led to the development of simulation for medical education. Simulation-based teaching is affected by challenges such as lack of protected time for faculty, inexperienced learners, and the number of students per group. These have led to the integration of various eLearning formats in the curriculum. The hybridized format changes the traditional clinical skills teaching into the flipped classroom. This study aims to measure the effectiveness of hybridizing video-based learning with simulation for flipping the clinical skills teaching of fourth-year medical students at the Department of Paediatrics and Child Health at Aga Khan University, Pakistan. METHODS: The study employed a mixed-methods design. Fourth-year medical students of the batch 2020-21 (n = 100) consented to participate in the study. The quantitative component focuses on identifying the effect of the intervention on the perceived self-efficacy of medical students (batch 2020-21) relevant to the clinical skill. Along with this, the performance of the intervention batch of 2020-21 on the end of clerkship objective structured clinical exam (OSCE) was compared with the previous batch of 2019-20, taught using simulation alone. Focused group discussions (FGDs) were used to explore the experiences of medical students (batch 2020-21) about the intervention. Quantitative data underwent descriptive and inferential analysis using Stata v16 while qualitative data underwent content analysis using NVivo software. RESULTS: Hybridization of video-based learning with simulation significantly improved self-efficacy scores for all examinations (cardiovascular, respiratory, neurological, and abdomen) with p-value < 0.05. OSCE scores of the intervention group were significantly higher on the neurological and abdominal stations as compared to the previous batch (p-value < 0.05). In addition, the overall structure of the intervention was appreciated by all the students, who stated it allowed reinforcement of basic concepts, retention, and further insight into clinical applications. CONCLUSION: The hybridization of video-based learning with simulation facilitated in creation of better opportunities for medical students to revive their prior knowledge, apply core concepts for the problem and engage in clinical reasoning.