| 1. |
- Forberg, Jakob L, et al.
(författare)
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An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction
- 2012
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Ingår i: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine. - : Springer Science and Business Media LLC. - 1757-7241. ; 20:1, s. 1-9
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Tidskriftsartikel (refereegranskat)abstract
- Background: Pre-hospital electrocardiogram (ECG) transmission to an expert for interpretation and triage reduces time to acute percutaneous coronary intervention (PCI) in patients with ST elevation Myocardial Infarction (STEMI). In order to detect all STEMI patients, the ECG should be transmitted in all cases of suspected acute cardiac ischemia. The aim of this study was to examine the ability of an artificial neural network (ANN) to safely reduce the number of ECGs transmitted by identifying patients without STEMI and patients not needing acute PCI. Methods: Five hundred and sixty ambulance ECGs transmitted to the coronary care unit (CCU) in routine care were prospectively collected. The ECG interpretation by the ANN was compared with the diagnosis (STEMI or not) and the need for an acute PCI (or not) as determined from the Swedish coronary angiography and angioplasty register. The CCU physician's real time ECG interpretation (STEMI or not) and triage decision (acute PCI or not) were registered for comparison. Results: The ANN sensitivity, specificity, positive and negative predictive values for STEMI was 95%, 68%, 18% and 99%, respectively, and for a need of acute PCI it was 97%, 68%, 17% and 100%. The area under the ANN's receiver operating characteristics curve for STEMI detection was 0.93 (95% CI 0.89-0.96) and for predicting the need of acute PCI 0.94 (95% CI 0.90-0.97). If ECGs where the ANN did not identify a STEMI or a need of acute PCI were theoretically to be withheld from transmission, the number of ECGs sent to the CCU could have been reduced by 64% without missing any case with STEMI or a need of immediate PCI. Conclusions: Our ANN had an excellent ability to predict STEMI and the need of acute PCI in ambulance ECGs, and has a potential to safely reduce the number of ECG transmitted to the CCU by almost two thirds.
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| 2. |
- Robinson, Yohan, 1977, et al.
(författare)
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AI och framtidens försvarsmedicin
- 2020
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Medicinskt legitimerad personal är, och kommer med stor sannolikhet fortsattatt vara, en knapp resurs inom Försvarsmaktens sjukvårdsorganisation. I denna rapport ges en översikt över pågående och planerade ansatser baserade påartificiell intelligens (AI) inom akutsjukvård med särskild tonvikt på omhändertagandet av traumapatienter, där lösningarna skulle kunna bidra till att Försvarsmakten kan bibehålla sin sjukvårdskapacitet i kritiska lägen. Rapporten är ett resultat av samarbetet mellan FM, FOI, FMV, FHS och KI, och vänder sig i första hand till Försvarsmaktens strategiska ledning.Användningen av AI-teknik i framtida beslutsstöd kan skapa nya möjligheter till avlastning av personal och resurseffektivisering. Tekniken ger möjligheter att i realtid samla in, bearbeta och analysera stora mängder blandadinformation om förbands hälsoläge och fysiska stridsvärde. Bedömning av skadade kan t.ex. göras av triagedrönare och den efterföljande evakueringen kanunderlättas av intelligenta autonoma plattformar. Införandet av AI-system ställer dock vårdgivaren inför svåra etiska och medikolegala överväganden.Försvarsmedicin har en central roll i Försvarsmaktens krigföringsförmåga och för samhällets uthållighet. För att nyttja hela AI-teknikens framfart till Försvarsmaktens nytta måste dess innebörd och konsekvens för försvarsmedicinen förstås. Därför rekommenderar denna studie att Försvarsmaktens framtida satsningar inom AI och autonomi inkluderar den försvarsmedicinska teknikutveckling som är beskriven i denna rapport.
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| 3. |
- Fredriksson, Alexandru Grigorescu, et al.
(författare)
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Turbulent kinetic energy in the right ventricle : Potential MR marker for risk stratification of adults with repaired Tetralogy of Fallot
- 2018
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Ingår i: Journal of Magnetic Resonance Imaging. - Hoboken : John Wiley & Sons. - 1053-1807 .- 1522-2586. ; 47:4, s. 1043-1053
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: To assess right ventricular (RV) turbulent kinetic energy (TKE) in patients with repaired Tetralogy of Fallot (rToF) and a spectrum of pulmonary regurgitation (PR), as well as to investigate the relationship between these 4D flow markers and RV remodeling.Materials and Methods: Seventeen patients with rToF and 10 healthy controls were included in the study. Patients were divided into two groups based on PR fraction: one lower PR fraction group (11%) and one higher PR fraction group (>11%). Field strength/sequences: 3D cine phase contrast (4D flow), 2D cine phase contrast (2D flow), and balanced steady-state free precession (bSSFP) at 1.5T. Assessment: The RV volume was segmented in the morphologic short-axis images and TKE parameters were computed inside the segmented RV volume throughout diastole. Statistical tests: One-way analysis of variance with Bonferroni post-hoc test; unpaired t-test; Pearson correlation coefficients; simple and stepwise multiple regression models; intraclass correlation coefficient (ICC).Results: The higher PR fraction group had more remodeled RVs (140 6 25 vs. 107 6 22 [lower PR fraction, P < 0.01] and 93 6 15 ml/m2[healthy, P < 0.001] for RV end-diastolic volume index [RVEDVI]) and higher TKE values (5.95 6 3.15 vs. 2.23 6 0.81 [lower PR fraction, P < 0.01] and 1.91 6 0.78 mJ [healthy, P < 0.001] for Peak Total RV TKE). Multiple regression analysis between RVEDVI and 4D/2D flow parameters showed that Peak Total RV TKE was the strongest predictor of RVEDVI (R25 0.47, P 5 0.002).Conclusion: The 4D flow-specific TKE markers showed a slightly stronger association with RV remodeling than conventional 2D flow PR parameters. These results suggest novel hemodynamic aspects of PR in the development of late complications after ToF repair.
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| 4. |
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| 5. |
- Fuchs, Gabriel, et al.
(författare)
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Detection of Thrombosis in the Extracorporeal Membrane Oxygenation Circuit by Infrasound : Proof of Concept
- 2017
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Ingår i: Artificial Organs. - : John Wiley & Sons. - 0160-564X .- 1525-1594. ; 41:6, s. 573-579
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Tidskriftsartikel (refereegranskat)abstract
- As of today, there exist no reliable, objective methods for early detection of thrombi in the extracorporeal membrane oxygenators (ECMO) system. Within the ECMO system, thrombi are not always fixed to a certain component or location in the circuit. Thus, clot fragments of different shapes and consistencies may circulate and give rise to vibrations and sound generation. By bedside sound measurements and additional laboratory experiments (although not detailed herein), we found that the presence of particles (clots or aggregates and fragments of clots) can be detected by analyzing the strength of infra-sound (< 20 Hz) modes of the spectrum near the inlet and outlet of the centrifugal pump in the ECMO circuit. For the few patients that were considered in this study, no clear false positive or negative examples were found when comparing the spectral approach with clinical observations. A laboratory setup provided insight to the flow in and out of the pump, confirming that in the presence of particles a low-amplitude low-frequency signal is strongly amplified, enabling the identification of a clot.
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| 6. |
- Staron, Miroslaw, 1977, et al.
(författare)
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Robust machine learning in critical care - Software engineering and medical perspectives
- 2021
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Ingår i: Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021. - : Institute of Electrical and Electronics Engineers Inc.. ; , s. 62-69
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Konferensbidrag (refereegranskat)abstract
- Using machine learning in clinical practice poses hard requirements on explainability, reliability, replicability and robustness of these systems. Therefore, developing reliable software for monitoring critically ill patients requires close collaboration between physicians and software engineers. However, these two different disciplines need to find own research perspectives in order to contribute to both the medical and the software engineering domain. In this paper, we address the problem of how to establish a collaboration where software engineering and medicine meets to design robust machine learning systems to be used in patient care. We describe how we designed software systems for monitoring patients under carotid endarterectomy, in particular focusing on the process of knowledge building in the research team. Our results show what to consider when setting up such a collaboration, how it develops over time and what kind of systems can be constructed based on it. We conclude that the main challenge is to find a good research team, where different competences are committed to a common goal.
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| 7. |
- Heyman, Ellen Tolestam, et al.
(författare)
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Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
- 2021
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Ingår i: Journal of Emergency Medicine. - Philadelphia, PA : Elsevier BV. - 0736-4679 .- 1090-1280. ; 61:6, s. 763-773
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Machine learning (ML) is an emerging tool for predicting need of end-of-life discussion and palliative care, by using mortality as a proxy. But deaths, unforeseen by emergency physicians at time of the emergency department (ED) visit, might have a weaker association with the ED visit.OBJECTIVES: To develop an ML algorithm that predicts unsurprising deaths within 30 days after ED discharge.METHODS: In this retrospective registry study, we included all ED attendances within the Swedish region of Halland in 2015 and 2016. All registered deaths within 30 days after ED discharge were classified as either "surprising" or "unsurprising" by an adjudicating committee with three senior specialists in emergency medicine. ML algorithms were developed for the death subclasses by using Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM).RESULTS: Of all 30-day deaths (n = 148), 76% (n = 113) were not surprising to the adjudicating committee. The most common diseases were advanced stage cancer, multidisease/frailty, and dementia. By using LR, RF, and SVM, mean area under the receiver operating characteristic curve (ROC-AUC) of unsurprising deaths in the test set were 0.950 (SD 0.008), 0.944 (SD 0.007), and 0.949 (SD 0.007), respectively. For all mortality, the ROC-AUCs for LR, RF, and SVM were 0.924 (SD 0.012), 0.922 (SD 0.009), and 0.931 (SD 0.008). The difference in prediction performance between all and unsurprising death was statistically significant (P < .001) for all three models.CONCLUSION: In patients discharged to home from the ED, three-quarters of all 30-day deaths did not surprise an adjudicating committee with emergency medicine specialists. When only unsurprising deaths were included, ML mortality prediction improved significantly.
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| 8. |
- Drevhammar, Thomas, et al.
(författare)
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Comparison of Nasal Continuous Positive Airway Pressure Delivered by Seven Ventilators Using Simulated Neonatal Breathing
- 2013
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Ingår i: Pediatric Critical Care Medicine. - 1529-7535 .- 1947-3893. ; 14:4, s. E196-E201
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: Nasal continuous positive airway pressure (NCPAP) is an established treatment for respiratory distress in neonates. Most modern ventilators are able to provide NCPAP. There have been no large studies examining the properties of NCPAP delivered by ventilators. The aim of this study was to compare pressure stability and imposed work of breathing (iWOB) for NCPAP delivered by ventilators using simulated neonatal breathing. Design: Experimental in vitro study. Setting: Research laboratory in Sweden. Intervention: None. Measurements and Main Results: Neonatal breathing was simulated using a mechanical lung simulator. Seven ventilators were tested at different CPAP levels using two breath profiles. Pressure stability and iWOB were determined. Results from three ventilators revealed that they provided a slight pressure support. For these ventilators, iWOB could not be calculated. There were large differences in pressure stability and iWOB between the tested ventilators. For simulations using the 3.4-kg breath profile, the pressure swings around the mean pressure were more than five times greater, and iWOB more than four times higher, for the system with the highest measured values compared with the system with the lowest. Overall, the Fabian ventilator was the most pressure stable system. Evita XL and SERVO-i were found more pressure stable than Fabian in some simulations. The results for iWOB were in accordance with pressure stability for systems that allowed determination of this variable. Conclusions: Some of the tested ventilators unexpectedly provided a minor degree of pressure support. In terms of pressure stability, we have not found any advantages of ventilators as a group compared with Bubble CPAP, Neopuff, and variable flow generators that were tested in our previous study. The variation between individual systems is great within both categories. The clinical importance of these findings needs further investigation.
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| 9. |
- Johansson, Anders, et al.
(författare)
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Technical feasibility and ambulance nurses’ view of a digital telemedicine system in pre-hospital stroke care – A pilot study
- 2019
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Ingår i: International Emergency Nursing. - : Elsevier BV. - 1755-599X. ; 44, s. 35-40
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Tidskriftsartikel (refereegranskat)abstract
- Background: High-quality telemedicine in cases of suspected stroke has comparable precision with on-site medical examinations. A novel technical concept was developed in order to deliver a video/audio system to achieve more efficient patient assessment and diagnostic support. Aims and objectives: The aim of the present pilot-study was to evaluate in a clinical setting the quality of a linked image and sound transmission in the prehospital assessment of patients with suspected stroke. In addition, we wanted to elucidate how ambulance nurses experienced the use of this innovative technology. Design: The study used a quantitative method using questionnaires with fixed response options, combined with a qualitative approach to assess complementary statements of prehospital emergency care nurses (PEN)that had used the system. Methods: The study was conducted in one ambulance care office and one hospital in southern Sweden. Six PEN and one neurological specialist (Dr)expressed their perceptions based on 11 cases with suspected stroke. Responses were assessed in the dimensions of the technology (Dr – image quality/sound quality; Dr and PEN), safety, sense of increased control and uniform assessment. A questionnaire technique was used, complemented with a qualitative part of the content analysis (PEN views). Results: In the technology dimension, the Dr evaluated the image quality as Very good to Good (100%)while 75% of PEN answered that the digital stroke concept felt reliable to use and the digital stroke assessment is believed to increase uniform assessment. Asked if the present digital concept should be further developed and if further digital systems should be developed in general, the PEN were split in their responses (50 vs 50%), which could be related to a conception of unclear efficacy of the concept. Descriptions of the decisive comments emerged in three categories; Minor operating interference, Physician's competence crucial and Unclear efficacy. Conclusion: All respondents seem to have confidence in the assessed digital stroke concept. The image quality is perceived suitable in the assessment situation but the nurses expressed ambiguity about the efficiency of the entire concept. The ambulance nurses also highlighted the physician's skills and personality as important factors for further development of the concept.
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| 10. |
- Khorram-Manesh, Amir, 1958, et al.
(författare)
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Emergency Management and Preparedness Training for Youth (EMPTY) : The Results of the First Swedish Pilot Study
- 2018
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Ingår i: Disaster Medicine and Public Health Preparedness. - : Cambridge University Press (CUP). - 1935-7893 .- 1938-744X. ; 12:6, s. 685-688
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: To examine the impact of a simulation training in raising a group of young students' personal and situational awareness in disasters and emergencies.METHODS: In total, 25 young students participated in two simulation scenarios representing two actual events, fire, and shooting, using a combination of two validated simulation training (Emergency Management and Preparedness Training for Youth [EMPTY]). The changes in their knowledge and awareness were evaluated by using questionnaires and the whole simulation was evaluated by three independent observers and a reference group.RESULTS: New concepts of emergency management, for example, evacuation, and barricading, could be trained in a safe environment. There was a significant increase in students' personal and situational awareness and their active engagement in the management of emergencies.CONCLUSION: EMPTY could raise the youth basic knowledge and ability to understand the concept of preparedness by being mentally prepared, available for collaboration, gaining a higher confidence, understanding the physical and psychological consequences of a major incident and the importance of their own safety. (Disaster Med Public Health Preparedness. 2018; page 1 of 4).
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