Irish journal of medical science
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Review
What factors influence medical students to enter a career in general practice? A scoping review.
Internationally, healthcare systems are providing more community-based care. Consequently, there is an increasing demand for GPs and other healthcare professionals to work in primary care and this has implications for undergraduate medical education. ⋯ Curriculum and personal factors have a key role in influencing students to pursue a career in general practice. As much of the existing research involves cross-sectional designs involving small numbers of participants, further research adopting prospective, quasi-experimental designs involving larger cohorts is a priority.
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The 5G technology, with its low latency, high speed, enhanced high-resolution bandwidth, superior reliability, and less energy consumption, is bound to transform telemedicine and the healthcare industry as a whole. This next-generation wireless networking technology has many far-reaching implications in both preventive and therapeutic care of the patients. Remote monitoring of patients is possible with wearables facilitated by robust sensors coupled to 5G network. Virtual patient consultation; augmented reality (AR) and virtual reality (VR)-based simulated surgeries; artificial intelligence (AI)-powered robotic surgeries; real-time maintenance of ambulances and other medical devices; and dynamic huge data repository are some of the other applications of 5G technology in the health sector.
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Supervised machine learning (ML) is a class of algorithms that "learn" from existing input-output pairs, which is gaining popularity in pattern recognition for classification and prediction problems. In this scoping review, we examined the use of supervised ML algorithms for the prediction of long-term allograft survival in kidney transplant recipients. Data sources included PubMed, the Cumulative Index to Nursing and Allied Health Literature, and the Institute for Electrical and Electronics Engineers (IEEE) Xplore libraries from inception to November 2019. ⋯ We synthesized the evidence related to the comparison of ML techniques with traditional statistical approaches for prediction of long-term allograft survival in patients with a kidney transplant. The methodological and reporting quality of included studies was poor. Our study also demonstrated mixed results in terms of the predictive potential of the models.
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During the initial assessment of trauma patients, the severity of injury is very often not immediately recognizable. In trauma centers, a total body CT (TBCT) scan is routinely used to evaluate this kind of patients, even if it is burdened with health risk, economical costs, and logistical difficulties. ⋯ VIBS can safely rule out severe thoracic or abdominal injuries. This approach could limit the use of TBCT in one-fifth of suspected major trauma patients.