AI-accelerated prostate MRI: a systematic review.

BACKGROUND: Prostate cancer ranks among the most prevalent cancers affecting men globally. While conventional MRI serves as a diagnostic tool, its extended acquisition time, associated costs, and strain on healthcare systems, underscore the necessity for more efficient methods. The emergence of AI-acceleration in prostate MRI offers promise to mitigate these challenges. METHODS: A systematic review of studies looking at AI-accelerated prostate MRI was conducted, with a focus on acquisition time along with various qualitative and quantitative measurements. RESULTS: Two primary findings were observed. Firstly, all studies indicated that AI-acceleration in MRI achieved notable reductions in acquisition times without compromising image quality. This efficiency offers potential clinical advantages, including reduced scan durations, improved scheduling, diminished patient discomfort, and economic benefits. Secondly, AI demonstrated a beneficial effect in reducing or maintaining artefact levels in T2-weighted images despite this accelerated acquisition time. Inconsistent results were found in all other domains, which were likely influenced by factors such as heterogeneity in methodologies, variability in AI models, and diverse radiologist profiles. These variances underscore the need for larger, more robust studies, standardization, and diverse training datasets for AI models. CONCLUSION: The integration of AI-acceleration in prostate MRI thus far shows some promising results for efficient and enhanced scanning. These advancements may fill current gaps in early detection and prognosis. However, careful navigation and collaborative efforts are essential to overcome challenges and maximize the potential of this innovative and evolving field. ADVANCES IN KNOWLEDGE: This article reveals overall significant reductions in acquisition time without compromised image quality in AI-accelerated prostate MRI, highlighting potential clinical and diagnostic advantages.

Risky business: medical students' feedback-seeking behaviours: a mixed methods study.

There are differing views on how learners' feedback-seeking behaviours (FSB) develop during training. With globalisation has come medical student migration and programme internationalisation. Western-derived educational practices may prove challenging for diverse learner populations. Exploring undergraduate activity using a model of FSB may give insight into how FSB evolves and the influence of situational factors, such as nationality and site of study. Our findings seek to inform medical school processes that support feedback literacy. Using a mixed methods approach, we collected questionnaire and interview data from final-year medical students in Ireland, Bahrain, and Malaysia. A validated questionnaire investigated relationships with FSB and goal orientation, leadership style preference, and perceived costs and benefits. Interviews with the same student population explored their FSB experiences in clinical practice, qualitatively, enriching this data. The data were integrated using the 'following the thread' technique. Three hundred and twenty-five of a total of 514 completed questionnaires and 57 interviews were analysed. Learning goal orientation (LGO), instrumental leadership and supportive leadership related positively to perceived feedback benefits (0.23, 0.2, and 0.31, respectively, p < 0.05). Perceived feedback benefits are related positively to feedback monitoring and inquiry (0.13 and 0.38, respectively, p < 0.05). The personal cost of feedback is unsupported in quantitative data, but was a strong theme in interviews, as was feedback avoidance, peer feedback, and unsupportive learning environment. No differences were observed across sub-groups based on gender, study site, or student nationality. Integrated analysis describes FSB: avoiding 'unsafe' feedback (first, do no harm) and overcoming barriers (beat the system) and goal-centred curation (shop around) to optimise benefits. Diverse medical students across three continents undertake FSB with careful navigation, as a valued but risky business, that is highly contextualised. Promoting a constructive FSB is complex. Overcoming outdated theory and practices on the wards remains a challenge to psychologically safe, learner-centred feedback.

A review of primary care referrals for patients with dizziness and vertigo: prevalence and demographics.

BACKGROUND: International studies show that dizziness and vertigo are a significant burden on the general population, with 20-30% experiencing symptoms over a lifetime. There are no Irish studies indicating prevalence. The aim of this study was to review primary care referrals for patients with dizziness and vertigo to an otolaryngology tertiary centre. METHODS: A review of an out-patient department waiting list was performed on primary care referrals for dizziness and vertigo to an otolaryngology tertiary centre. Demographic information was recorded on all patients referred between May 2017 and August 2019. RESULTS: Two hundred fifteen patients out of 901 patients (24%) referred to an otologist between May 2017 and August 2019 were referred with dizziness as a presenting complaint. The average age was 51 years. F/M ratio was 3:2. The average waiting time was 441 days. The most common associated otological symptom was tinnitus (42%). Relevant comorbidities included anxiety, depression, migraine/headaches and cardiac disease. CONCLUSION: This study demonstrates that a significant number of patients referred to an otologist from primary care are referred with dizziness and vertigo and supports the need for the establishment of multi-disciplinary vestibular/balance centres to address and manage these patients.