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Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study.
Park SH, Pinto-Powell R, Thesen T, Lindqwister A, Levy J, Chacko R, Gonzalez D, Bridges C, Schwendt A, Byrum T, Fong J, Shasavari S, Hassanpour S. Park SH, et al. Med Educ Online. 2024 Dec 31;29(1):2315684. doi: 10.1080/10872981.2024.2315684. Epub 2024 Feb 13. Med Educ Online. 2024. PMID: 38351737 Free PMC article.
Artificial intelligence (AI) is rapidly being introduced into the clinical workflow of many specialties. Despite the need to train physicians who understand the utility and implications of AI and mitigate a growing skills gap, no established consensus exists
Artificial intelligence (AI) is rapidly being introduced into the clinical workflow of many specialties. Despite the need to t
[Expert consensus on fundus photograph-based cardiovascular risk assessment using artificial intelligence technology].
Society of Health Risk Evaluation and Control, Chinese Preventive Medicine Association; Chinese Society of Cardiology, Chinese Medical Association; Society of Health Physical Examination, Chinese Health Association. Society of Health Risk Evaluation and Control, Chinese Preventive Medicine Association, et al. Zhonghua Nei Ke Za Zhi. 2024 Jan 1;63(1):28-34. doi: 10.3760/cma.j.cn112138-20230725-00021. Zhonghua Nei Ke Za Zhi. 2024. PMID: 38186114 Chinese.
Compared with traditional approaches, fundus photograph-based cardiovascular risk assessment using artificial intelligence (AI) technology is novel, and has the advantages of immediacy, non-invasiveness, easy performance, and low cost. The Health Risk Assessment and …
Compared with traditional approaches, fundus photograph-based cardiovascular risk assessment using artificial intelligence (AI …
The clinical use of stress echocardiography in chronic coronary syndromes and beyond coronary artery disease: a clinical consensus statement from the European Association of Cardiovascular Imaging of the ESC.
Picano E, Pierard L, Peteiro J, Djordjevic-Dikic A, Sade LE, Cortigiani L, Van De Heyning CM, Celutkiene J, Gaibazzi N, Ciampi Q, Senior R, Neskovic AN, Henein M. Picano E, et al. Eur Heart J Cardiovasc Imaging. 2024 Jan 29;25(2):e65-e90. doi: 10.1093/ehjci/jead250. Eur Heart J Cardiovasc Imaging. 2024. PMID: 37798126
The present document summarizes current practice guidelines recommendations and training requirements and harmonizes the clinical guidelines of the European Society of Cardiology in many diverse cardiac conditions, from chronic coronary syndromes to valvular heart disease. …
The present document summarizes current practice guidelines recommendations and training requirements and harmonizes the clinical guidelines …
Artificial intelligence for healthcare and medical education: a systematic review.
Sun L, Yin C, Xu Q, Zhao W. Sun L, et al. Am J Transl Res. 2023 Jul 15;15(7):4820-4828. eCollection 2023. Am J Transl Res. 2023. PMID: 37560249 Free PMC article. Review.
BACKGROUND: Human society has entered the age of artificial intelligence, medical practice and medical education are undergoing profound changes. Artificial intelligence (AI) is now applied in many industries, particularly in healthcare and medical edu …
BACKGROUND: Human society has entered the age of artificial intelligence, medical practice and medical education are undergoin …
18F-FDG-Based Radiomics and Machine Learning: Useful Help for Aortic Prosthetic Valve Infective Endocarditis Diagnosis?
Godefroy T, Frécon G, Asquier-Khati A, Mateus D, Lecomte R, Rizkallah M, Piriou N, Jamet B, Le Tourneau T, Pallardy A, Boutoille D, Eugène T, Carlier T. Godefroy T, et al. JACC Cardiovasc Imaging. 2023 Jul;16(7):951-961. doi: 10.1016/j.jcmg.2023.01.020. Epub 2023 Apr 12. JACC Cardiovasc Imaging. 2023. PMID: 37052569
OBJECTIVES: The primary objective of this study was to evaluate the performance of a radiomics and machine learning-based analysis of (18)F-FDG PET/CT (PET-ML) as a major criterion for the European Society of Cardiology score using machine learning as a major imaging crite …
OBJECTIVES: The primary objective of this study was to evaluate the performance of a radiomics and machine learning-based analysis of (18)F- …
CAD-RADS 2.0 - 2022 Coronary Artery Disease - Reporting and Data System.: An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR) and the North America Society of Cardiovascular Imaging (NASCI).
Cury RC, Leipsic J, Abbara S, Achenbach S, Berman D, Bittencourt M, Budoff M, Chinnaiyan K, Choi AD, Ghoshhajra B, Jacobs J, Koweek L, Lesser J, Maroules C, Rubin GD, Rybicki FJ, Shaw LJ, Williams MC, Williamson E, White CS, Villines TC, Blankstein R. Cury RC, et al. J Am Coll Radiol. 2022 Nov;19(11):1185-1212. doi: 10.1016/j.jacr.2022.09.012. J Am Coll Radiol. 2022. PMID: 36436841
In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artificial intelligence development, clinical trial design, population health and quality assurance with the ultimate goal of improving p …
In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artifici
CAD-RADS 2.0 - 2022 Coronary Artery Disease - Reporting and Data System An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR) and the North America Society of Cardiovascular Imaging (NASCI).
Cury RC, Leipsic J, Abbara S, Achenbach S, Berman D, Bittencourt M, Budoff M, Chinnaiyan K, Choi AD, Ghoshhajra B, Jacobs J, Koweek L, Lesser J, Maroules C, Rubin GD, Rybicki FJ, Shaw LJ, Williams MC, Williamson E, White CS, Villines TC, Blankstein R. Cury RC, et al. Radiol Cardiothorac Imaging. 2022 Sep 22;4(5):e220183. doi: 10.1148/ryct.220183. eCollection 2022 Oct. Radiol Cardiothorac Imaging. 2022. PMID: 36339062 Free PMC article.
In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artificial intelligence development, clinical trial design, population health and quality assurance with the ultimate goal of improving p …
In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artifici
CAD-RADS 2.0 - 2022 Coronary Artery Disease-Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI).
Cury RC, Leipsic J, Abbara S, Achenbach S, Berman D, Bittencourt M, Budoff M, Chinnaiyan K, Choi AD, Ghoshhajra B, Jacobs J, Koweek L, Lesser J, Maroules C, Rubin GD, Rybicki FJ, Shaw LJ, Williams MC, Williamson E, White CS, Villines TC, Blankstein R. Cury RC, et al. JACC Cardiovasc Imaging. 2022 Nov;15(11):1974-2001. doi: 10.1016/j.jcmg.2022.07.002. Epub 2022 Sep 14. JACC Cardiovasc Imaging. 2022. PMID: 36115815 Free article.
In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artificial intelligence development, clinical trial design, population health and quality assurance with the ultimate goal of improving p …
In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artifici
CAD-RADS 2.0 - 2022 Coronary Artery Disease-Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI).
Cury RC, Leipsic J, Abbara S, Achenbach S, Berman D, Bittencourt M, Budoff M, Chinnaiyan K, Choi AD, Ghoshhajra B, Jacobs J, Koweek L, Lesser J, Maroules C, Rubin GD, Rybicki FJ, Shaw LJ, Williams MC, Williamson E, White CS, Villines TC, Blankstein R. Cury RC, et al. J Cardiovasc Comput Tomogr. 2022 Nov-Dec;16(6):536-557. doi: 10.1016/j.jcct.2022.07.002. Epub 2022 Jul 8. J Cardiovasc Comput Tomogr. 2022. PMID: 35864070
In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artificial intelligence development, clinical trial design, population health and quality assurance with the ultimate goal of improving p …
In addition, CAD-RADS will continue to provide a framework of standardization that may benefit education, research, peer-review, artifici
Cardiac CT angiography in current practice: An American society for preventive cardiology clinical practice statement().
Budoff MJ, Lakshmanan S, Toth PP, Hecht HS, Shaw LJ, Maron DJ, Michos ED, Williams KA, Nasir K, Choi AD, Chinnaiyan K, Min J, Blaha M. Budoff MJ, et al. Am J Prev Cardiol. 2022 Jan 20;9:100318. doi: 10.1016/j.ajpc.2022.100318. eCollection 2022 Mar. Am J Prev Cardiol. 2022. PMID: 35146468 Free PMC article.
This document further explores the emerging applications of CCTA based on functional assessment using CT derived fractional flow reserve, peri-coronary inflammation and artificial intelligence (AI) that can provide personalized risk assessment and guide targeted tre …
This document further explores the emerging applications of CCTA based on functional assessment using CT derived fractional flow reserve, pe …
Ability of artificial intelligence to diagnose coronary artery stenosis using hybrid images of coronary computed tomography angiography and myocardial perfusion SPECT.
Yoneyama H, Nakajima K, Taki J, Wakabayashi H, Matsuo S, Konishi T, Okuda K, Shibutani T, Onoguchi M, Kinuya S. Yoneyama H, et al. Eur J Hybrid Imaging. 2019 Mar 18;3(1):4. doi: 10.1186/s41824-019-0052-8. Eur J Hybrid Imaging. 2019. PMID: 34191159 Free PMC article.
Two nuclear medicine physicians interpreted the myocardial perfusion SPECT and hybrid images with four grades of confidence, then drew regions on polar maps to identify culprit coronary arteries. The gold standard was determined by the consensus of two other nuclear car
Two nuclear medicine physicians interpreted the myocardial perfusion SPECT and hybrid images with four grades of confidence, then drew regio …
Novel Quantitative PET Techniques for Clinical Decision Support in Oncology.
Zaidi H, Alavi A, Naqa IE. Zaidi H, et al. Semin Nucl Med. 2018 Nov;48(6):548-564. doi: 10.1053/j.semnuclmed.2018.07.003. Epub 2018 Sep 10. Semin Nucl Med. 2018. PMID: 30322481 Review.
It has been extensively employed to assess molecular and physiological biomarkers in vivo in healthy and disease states, in oncology, cardiology, neurology, and psychiatry. Quantitative PET allows relating the time-varying activity concentration in tissues/organs of intere …
It has been extensively employed to assess molecular and physiological biomarkers in vivo in healthy and disease states, in oncology, car