Can artificial intelligence help Heart Teams make decisions?
EuroIntervention. 2024 Apr 15;20(8):e465-e466. doi: 10.4244/EIJ-E-24-00016.NO ABSTRACTPMID:38629423 | PMC:PMC11017220 | DOI:10.4244/EIJ-E-24-00016 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Valentin Koch Source Type: research
A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis
CONCLUSIONS: The use of LLMs offers promising opportunities to improve the HT decision-making process. This study showed that ChatGPT's decisions were consistent with those of the HT in a large proportion of cases. This technology could serve as a failsafe, highlighting potential areas of discrepancy when its decisions diverge from those of the HT. Further research is necessary to solidify our understanding of how AI can be integrated to enhance the decision-making processes of HTs.PMID:38629422 | PMC:PMC11017225 | DOI:10.4244/EIJ-D-23-00643 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Adil Salihu David Meier Nathalie Noirclerc Ioannis Skalidis Sarah Mauler-Wittwer Frederique Recordon Matthias Kirsch Christan Roguelov Alexandre Berger Xiaowu Sun Emmanuel Abbe Carlo Marcucci Valentina Rancati Lorenzo Rosner Emanuelle Scala David C Rotzin Source Type: research
Can artificial intelligence help Heart Teams make decisions?
EuroIntervention. 2024 Apr 15;20(8):e465-e466. doi: 10.4244/EIJ-E-24-00016.NO ABSTRACTPMID:38629423 | PMC:PMC11017220 | DOI:10.4244/EIJ-E-24-00016 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Valentin Koch Source Type: research
A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis
CONCLUSIONS: The use of LLMs offers promising opportunities to improve the HT decision-making process. This study showed that ChatGPT's decisions were consistent with those of the HT in a large proportion of cases. This technology could serve as a failsafe, highlighting potential areas of discrepancy when its decisions diverge from those of the HT. Further research is necessary to solidify our understanding of how AI can be integrated to enhance the decision-making processes of HTs.PMID:38629422 | PMC:PMC11017225 | DOI:10.4244/EIJ-D-23-00643 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Adil Salihu David Meier Nathalie Noirclerc Ioannis Skalidis Sarah Mauler-Wittwer Frederique Recordon Matthias Kirsch Christan Roguelov Alexandre Berger Xiaowu Sun Emmanuel Abbe Carlo Marcucci Valentina Rancati Lorenzo Rosner Emanuelle Scala David C Rotzin Source Type: research
Can artificial intelligence help Heart Teams make decisions?
EuroIntervention. 2024 Apr 15;20(8):e465-e466. doi: 10.4244/EIJ-E-24-00016.NO ABSTRACTPMID:38629423 | PMC:PMC11017220 | DOI:10.4244/EIJ-E-24-00016 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Valentin Koch Source Type: research
A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis
CONCLUSIONS: The use of LLMs offers promising opportunities to improve the HT decision-making process. This study showed that ChatGPT's decisions were consistent with those of the HT in a large proportion of cases. This technology could serve as a failsafe, highlighting potential areas of discrepancy when its decisions diverge from those of the HT. Further research is necessary to solidify our understanding of how AI can be integrated to enhance the decision-making processes of HTs.PMID:38629422 | PMC:PMC11017225 | DOI:10.4244/EIJ-D-23-00643 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Adil Salihu David Meier Nathalie Noirclerc Ioannis Skalidis Sarah Mauler-Wittwer Frederique Recordon Matthias Kirsch Christan Roguelov Alexandre Berger Xiaowu Sun Emmanuel Abbe Carlo Marcucci Valentina Rancati Lorenzo Rosner Emanuelle Scala David C Rotzin Source Type: research
Can artificial intelligence help Heart Teams make decisions?
EuroIntervention. 2024 Apr 15;20(8):e465-e466. doi: 10.4244/EIJ-E-24-00016.NO ABSTRACTPMID:38629423 | PMC:PMC11017220 | DOI:10.4244/EIJ-E-24-00016 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Valentin Koch Source Type: research
A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis
CONCLUSIONS: The use of LLMs offers promising opportunities to improve the HT decision-making process. This study showed that ChatGPT's decisions were consistent with those of the HT in a large proportion of cases. This technology could serve as a failsafe, highlighting potential areas of discrepancy when its decisions diverge from those of the HT. Further research is necessary to solidify our understanding of how AI can be integrated to enhance the decision-making processes of HTs.PMID:38629422 | PMC:PMC11017225 | DOI:10.4244/EIJ-D-23-00643 (Source: EuroIntervention)
Source: EuroIntervention - April 17, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Adil Salihu David Meier Nathalie Noirclerc Ioannis Skalidis Sarah Mauler-Wittwer Frederique Recordon Matthias Kirsch Christan Roguelov Alexandre Berger Xiaowu Sun Emmanuel Abbe Carlo Marcucci Valentina Rancati Lorenzo Rosner Emanuelle Scala David C Rotzin Source Type: research
Outcomes after cancer diagnosis in children and adult patients with congenital heart disease in Sweden: a registry-based cohort study
Conclusions
Cancer-related deaths constituted 1.8% of all mortalities across all CHD patients. Among CHD patients with cancer, 18.3% died, with cancer being the cause in 71.9% of cases. Although CHD patients have an increased cancer risk, their mortality risk post-diagnosis does not significantly differ from non-CHD patients after adjustements and exclusion of patients with genetic syndromes and transplant recipients. However, CHD patients with genetic syndromes and concurrent cancer appear to be a vulnerable group. (Source: BMJ Open)
Source: BMJ Open - April 17, 2024 Category: General Medicine Authors: Karazisi, C., Dellborg, M., Mellgren, K., Giang, K. W., Skoglund, K., Eriksson, P., Mandalenakis, Z. Tags: Open access, Cardiovascular medicine Source Type: research
Characteristics, Risk Factors, and Outcomes in Acute Kidney Injury Patients: A Retrospective Cross-Sectional Study, Palestine
CONCLUSION: CA-AKI was more prevalent than HA-AKI in Palestinian patients admitted for AKI. Risk factors for AKI included diabetes, CKD, and medications (antibiotics, NSAID, diuretics, and ACE-I/ARB). Preventive measures, medication management, and disease state management are necessary to minimize AKI during hospital admission or in the community.PMID:38623388 | PMC:PMC11018377 | DOI:10.1155/2024/8897932 (Source: The Scientific World Journal)
Source: The Scientific World Journal - April 16, 2024 Category: Science Authors: Abdallah Damin Abukhalil Haya Alyazouri Reem Alsheikh Hadeel Kahla Minna Mousa Hosniyeh Ladadweh Ni'meh Al-Shami Yousef Sahoury Hani Naseef Abdullah Rabba Source Type: research
Determinants of physical quality of life in patients with chronic thromboembolic pulmonary hypertension after treatment: Insights from invasive exercise stress test
Impaired quality of life (QoL) is prevalent among patients with chronic thromboembolic pulmonary hypertension (CTEPH) despite improved survival due to medical advances. We clarified the physical QoL of patients with CTEPH with mildly elevated pulmonary hemodynamics and evaluated its determinants using a database of patients with CTEPH evaluated for hemodynamics during exercise. (Source: The Journal of Heart and Lung Transplantation)
Source: The Journal of Heart and Lung Transplantation - April 16, 2024 Category: Transplant Surgery Authors: Kosuke Watabe, Ayumi Goda, Kazuki Tobita, Sachi Yokoyama, Hanako Kikuchi, Kaori Takeuchi, Takumi Inami, Kyoko Soejima, Takashi Kohno Source Type: research
Correction: TJ-M2010-5 Attenuates Severe Myocardial Ischemia/Reperfusion Injury in Heart Transplantation by Inhibiting MyD88 Homodimerization In Vivo
(Source: Journal of Cardiovascular Translational Research)
Source: Journal of Cardiovascular Translational Research - April 16, 2024 Category: Cardiology Source Type: research
Photoplethysmography based atrial fibrillation detection: a continually growing field
Objective. Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with significant health ramifications, including an elevated susceptibility to ischemic stroke, heart disease, and heightened mortality. Photoplethysmography (PPG) has emerged as a promising technology for continuous AF monitoring for its cost-effectiveness and widespread integration into wearable devices. Our team previously conducted an exhaustive review on PPG-based AF detection before June 2019. However, since then, more advanced technologies have emerged in this field. Approach. This paper offers a comprehensive review of the latest advan...
Source: Physiological Measurement - April 16, 2024 Category: Physiology Authors: Cheng Ding, Ran Xiao, Weijia Wang, Elizabeth Holdsworth and Xiao Hu Source Type: research
