36 research outputs found
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CAD in mammography: lesion-level versus case-level analysis of the effects of prompts on human decisions
Object: To understand decision processes in CAD-supported breast screening by analysing how prompts affect readers’ judgements of individual mammographic features (lesions). To this end we analysed hitherto unexamined details of reports completed by mammogram readers in an earlier evaluation of a CAD tool.
Material and methods: Assessments of lesions were extracted from 5,839 reports for 59 cancer cases. Statistical analyses of these data focused on what features readers considered when recalling a cancer case and how readers reacted to CAD prompts.
Results: About 13.5% of recall decisions were found to be caused by responses to features other than those indicating actual cancer. Effects of CAD: lesions were more likely to be examined if prompted; the presence of a prompt on a cancer increased the probability of both detection and recall especially for less accurate readers in subtler cases; lack of prompts made cancer features less likely to be detected; false prompts made non-cancer features more likely to be classified as cancer.
Conclusion: The apparent lack of impact reported for CAD in some studies is plausibly due to CAD systematically affecting readers’ identification of individual features, in a beneficial way for certain combinations of readers and features and a damaging way for others. Mammogram readers do not ignore prompts. Methodologically, assessing CAD by numbers of recalled cancer cases may be misleading
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Expertise and the interpretation of computerized physiological data: implications for the design of computerized monitoring in neonatal intensive care
This paper presents the outcomes from a cognitive engineering project addressing the design problems of computerized monitoring in neonatal intensive care. Cognitive engineering is viewed, in this project, as a symbiosis between cognitive science and design practice. A range of methodologies has been used: interviews with neonatal staff, ward observations and experimental techniques. The results of these investigations are reported, focusing specifically on the differences between junior and senior physicians in their interpretation of monitored physiological data. It was found that the senior doctors made better use of the different knowledge sources available than the junior doctors. The senior doctors were able to identify more relevant physiological patterns and generated more and better inferences than did their junior colleagues. Expertise differences are discussed in the context of previous psychological research in medical expertise. Finally, the paper discusses the potential utility of these outcomes to inform the design of computerized decision support in neonatal intensive care
Evolving trends in the management of acute appendicitis during COVID-19 waves. The ACIE appy II study
Background: In 2020, ACIE Appy study showed that COVID-19 pandemic heavily affected the management of patients with acute appendicitis (AA) worldwide, with an increased rate of non-operative management (NOM) strategies and a trend toward open surgery due to concern of virus transmission by laparoscopy and controversial recommendations on this issue. The aim of this study was to survey again the same group of surgeons to assess if any difference in management attitudes of AA had occurred in the later stages of the outbreak.
Methods: From August 15 to September 30, 2021, an online questionnaire was sent to all 709 participants of the ACIE Appy study. The questionnaire included questions on personal protective equipment (PPE), local policies and screening for SARS-CoV-2 infection, NOM, surgical approach and disease presentations in 2021. The results were compared with the results from the previous study.
Results: A total of 476 answers were collected (response rate 67.1%). Screening policies were significatively improved with most patients screened regardless of symptoms (89.5% vs. 37.4%) with PCR and antigenic test as the preferred test (74.1% vs. 26.3%). More patients tested positive before surgery and commercial systems were the preferred ones to filter smoke plumes during laparoscopy. Laparoscopic appendicectomy was the first option in the treatment of AA, with a declined use of NOM.
Conclusion: Management of AA has improved in the last waves of pandemic. Increased evidence regarding SARS-COV-2 infection along with a timely healthcare systems response has been translated into tailored attitudes and a better care for patients with AA worldwide
Effect of remote ischaemic conditioning on clinical outcomes in patients with acute myocardial infarction (CONDI-2/ERIC-PPCI): a single-blind randomised controlled trial.
BACKGROUND: Remote ischaemic conditioning with transient ischaemia and reperfusion applied to the arm has been shown to reduce myocardial infarct size in patients with ST-elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI). We investigated whether remote ischaemic conditioning could reduce the incidence of cardiac death and hospitalisation for heart failure at 12 months. METHODS: We did an international investigator-initiated, prospective, single-blind, randomised controlled trial (CONDI-2/ERIC-PPCI) at 33 centres across the UK, Denmark, Spain, and Serbia. Patients (age >18 years) with suspected STEMI and who were eligible for PPCI were randomly allocated (1:1, stratified by centre with a permuted block method) to receive standard treatment (including a sham simulated remote ischaemic conditioning intervention at UK sites only) or remote ischaemic conditioning treatment (intermittent ischaemia and reperfusion applied to the arm through four cycles of 5-min inflation and 5-min deflation of an automated cuff device) before PPCI. Investigators responsible for data collection and outcome assessment were masked to treatment allocation. The primary combined endpoint was cardiac death or hospitalisation for heart failure at 12 months in the intention-to-treat population. This trial is registered with ClinicalTrials.gov (NCT02342522) and is completed. FINDINGS: Between Nov 6, 2013, and March 31, 2018, 5401 patients were randomly allocated to either the control group (n=2701) or the remote ischaemic conditioning group (n=2700). After exclusion of patients upon hospital arrival or loss to follow-up, 2569 patients in the control group and 2546 in the intervention group were included in the intention-to-treat analysis. At 12 months post-PPCI, the Kaplan-Meier-estimated frequencies of cardiac death or hospitalisation for heart failure (the primary endpoint) were 220 (8·6%) patients in the control group and 239 (9·4%) in the remote ischaemic conditioning group (hazard ratio 1·10 [95% CI 0·91-1·32], p=0·32 for intervention versus control). No important unexpected adverse events or side effects of remote ischaemic conditioning were observed. INTERPRETATION: Remote ischaemic conditioning does not improve clinical outcomes (cardiac death or hospitalisation for heart failure) at 12 months in patients with STEMI undergoing PPCI. FUNDING: British Heart Foundation, University College London Hospitals/University College London Biomedical Research Centre, Danish Innovation Foundation, Novo Nordisk Foundation, TrygFonden
Applying Cognitive Theories & Methods to the Design of Computerised Medical Decision Support
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Abstractional and Associative Processes in Concept Learning: A Simulation of Pigeon Data.
Symbolic and associative theories ha\e l)ccn claimed to be able to account for concept learning from examples. Given that there seems to be enough empirical evidence supiwrting both claims, we have tried to integrate associative and symbolic Tomiulations into a single com|Mitational model that abstracts infonmation Trom empirical data at the same time that it takes into account the strength with which each hypothesis is associated with lewanL The model is tested in a simulation of pigeon data in a fuzz\ concept learning task, where only a few abstractions are stored in representation of ail the training patterns and strengthcd or weakened depending on their predictive value
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Applying Cognitive Theories & Methods to the Design of Computerised Medical Decision Support
This paper describes an approach to cognitive engineering which promotes a symbiosis between the theories and methodologies of cognitive psychology and the practices of human-computer interaction design. We ground the description of our approach in a particular design problem: the development of computerised decision support in medical intensive care. We review the psychological literature of medical reasoning and decision making, highlighting its potential to inform the design of medical computerised aids. We also discuss how addressing this design problem may in turn benefit cognitive theory. This is followed by a brief description of our proposed methodology
ReTAX: a step in the automation of taxonomic revision
AbstractClassification, and particularly taxonomic revision, have not been generally addressed by computational models of scientific discovery. In this paper we present a framework for the automation of taxonomic revision in biological domains. This framework views taxonomy formation as an interaction of: (a) observation; (b) creation and structuring of a taxonomic hierarchy; (c) identification of relevant taxonomic descriptors; and (d) use of background knowledge. We describe a prototype system for taxonomic revision, ReTAX, which implements relevant aspects of such a framework. ReTAX receives as input a pre-established taxonomy, and is presented with new items which contradict in some way the original classification. Using a set of consistency criteria, ReTAX identifies the inconsistencies between the new information and the taxonomy. The system then applies a set of refinement operators to modify the taxonomy and resolve the inconsistencies. ReTAX has been tested on a botanical domain, replicating taxonomic revisions which had been suggested by professional botanists for the family Ericaceae. Finally, we propose extensions to ReTAX, which we hope will enable us to further develop the framework, and subsequently create an aid which taxonomists can use to revise existing taxonomies
