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Despite a variety of definitions of mindfulness, over the past 20 years there have been increasing claims that mindful practice is helpful in improving the accuracy of clinical diagnosis. We performed a systematic review and evidence synthesis in order to: determine the nature and definitions of mindful practice and associated terms; evaluate the quality of evidence for the benefits of mindful practice; and conclude whether mindful practice may reduce diagnostic error. We screened 14397 refereed reports from the five common literature databases, to include 33 reports related to the use of mindful practice in clinical diagnosis. Our evidence synthesis contained no randomised controlled trials (level I evidence) of mindful practice, the majority of supporting evidence (26 reports or 79%) comprised conceptual commentary or opinion (level IV evidence). However, 2 supporting reports constituted controlled studies without randomisation (level IIa), 1 report was quasi-experimental (level IIb), and 4 reports were comparative studies (level III). Thus, we may tentatively conclude that mindful practice appears promising as a method of improving diagnostic accuracy, but that further definitive studies of efficacy are required. We identified a taxonomy of 71 terms related to mindful practice, 7 of which were deemed core terms due to being each cited 5 times or more. The 7 core terms appear to be sufficient to describe the findings at higher levels of evidence in our evidence synthesis, suggesting that future definitive studies of mindful practice should focus on these common core terms in order to promote more generalisable findings.

Artificial intelligence is a growing phenomenon that is driving major changes to how we deliver healthcare. One of its most significant and challenging contributions is likely to be in diagnosis. Artificial intelligence is challenging the physician's exclusive role in diagnosis and in some areas, its diagnostic accuracy exceeds that of humans. We argue that we urgently need to consider how we will incorporate AI into our teaching of clinical reasoning in the undergraduate curriculum; students need to successfully navigate the benefits and potential issues of new and developing approaches to AI in clinical diagnosis. We offer a pedagogical framework for this challenging change to our curriculum. [ABSTRACT FROM AUTHOR]

Although there is research providing physiologically-based guidance for the content of the taper, this study was the first to examine how coaches actually implement the taper. The purpose of this study was to examine the taper planning and implementation processes of successful Olympic coaches leading up to major competitions and how they learned about tapering. Seven track and field coaches participated in semi-structured interviews exploring their tapering processes. To be considered for inclusion, coaches were required to have coached one or more athletes to an Olympic or Paralympic medal. Through a process of axial and open coding interview transcripts were analysed and lower and higher order themes developed describing the coaches’ tapering processes. Our findings indicate that the strategies employed to achieve the desired physiological adaptions of the taper were consistent with research (e.g., reduction in volume whilst maintaining intensity and frequency). However, our findings also suggest that tapering is far from a straight forward “textbook” process. The taper was not restricted to physiological outcomes with coaches considering athletes’ psychological as well as physical state. Coaches also involved the athlete in the process, adapted the taper to the athlete, continually monitored its progress, and adapted it further as required. [ABSTRACT FROM PUBLISHER]

Background Method Results Conclusion Post‐hepatectomy liver failure is a major cause of mortality, where future liver remnant (FLR) is the key controllable factor. Recommended minimum FLR is influenced by quality of liver parenchyma. Historical research has often failed to include Māori and Pacific Island (PI) populations despite worse health outcomes. Liver analysis by ethnicity is one such example of this. The aims were to determine digital FLR for various anatomical hepatectomies, investigate any correlations between computed tomography (CT) hepatic textural analysis and body mass index (BMI); and assess the variance of these relationships for different ethnicities.One hundred and fifty‐one patients who underwent abdominal CT scans at Burwood Hospital, Christchurch were retrospectively analysed. Māori and PI patients were selectively recruited to represent New Zealand's diversity. Liver volumetry, segmental ratio, and intra‐hepatic fat deposits (IHFD) per ethnicity were examined.Median age of the cohort was 66 (19–95) and 75 (50%) were males. 68%, 23% and 9% patients identified as being European, Māori/PI and Asian, respectively. No statistically significant difference in volume or segment/total volume ratio were noted across different ethnicities. Obese patients had higher IHFD compared with overweight and normal BMI groups. When stratified across ethnic groups, higher IHFD were observed in Asian compared with Māori/PI populations, despite lower BMI.No significant variances in liver volumetry were found across different ethnic groups in New Zealand. However association between BMI and IHFD varied across different ethnic cohorts. Consequently, knowledge of liver volumetry is not enough; patient liver quality and ethnicity should considered for hepatic‐surgery planning. [ABSTRACT FROM AUTHOR]