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Nie S, Zhang S, Zhao Y, Li X, Xu H, Wang Y, Wang X, Zhu M. Machine Learning Applications in Acute Coronary Syndrome: Diagnosis, Outcomes and Management. Adv Ther 2025; 42:636-665. [PMID: 39641854 DOI: 10.1007/s12325-024-03060-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 08/20/2024] [Indexed: 12/07/2024]
Abstract
Acute coronary syndrome (ACS) is a leading cause of death worldwide. Prompt and accurate diagnosis of acute myocardial infarction (AMI) or ACS is crucial for improved management and prognosis of patients. The rapid growth of machine learning (ML) research has significantly enhanced our understanding of ACS. Most studies have focused on applying ML to detect ACS, predict prognosis, manage treatment, identify risk factors, and discover potential biomarkers, particularly using data from electrocardiograms (ECGs), electronic medical records (EMRs), imaging, and omics as the main data modality. Additionally, integrating ML with smart devices such as wearables, smartphones, and sensor technology enables real-time dynamic assessments, enhancing clinical care for patients with ACS. This review provided an overview of the workflow and key concepts of ML as they relate to ACS. It then provides an overview of current ML algorithms used for ACS diagnosis, prognosis, identification of potential risk biomarkers, and management. Furthermore, we discuss the current challenges faced by ML algorithms in this field and how they might be addressed in the future, especially in the context of medicine.
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Affiliation(s)
- Shanshan Nie
- Department of Cardiovascular Disease, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, 450000, Henan, China
| | - Shan Zhang
- Department of Digestive Diseases, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Yuhang Zhao
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Xun Li
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450046, Henan, China
| | - Huaming Xu
- School of Medicine, Henan University of Chinese Medicine, Zhengzhou, 450046, Henan, China
| | - Yongxia Wang
- Department of Cardiovascular Disease, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, 450000, Henan, China
| | - Xinlu Wang
- Department of Cardiovascular Disease, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, 450000, Henan, China.
| | - Mingjun Zhu
- Department of Cardiovascular Disease, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, 450000, Henan, China.
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Martone AM, Parrini I, Ciciarello F, Galluzzo V, Cacciatore S, Massaro C, Giordano R, Giani T, Landi G, Gulizia MM, Colivicchi F, Gabrielli D, Oliva F, Zuccalà G. Recent Advances and Future Directions in Syncope Management: A Comprehensive Narrative Review. J Clin Med 2024; 13:727. [PMID: 38337421 PMCID: PMC10856004 DOI: 10.3390/jcm13030727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 01/21/2024] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
Syncope is a highly prevalent clinical condition characterized by a rapid, complete, and brief loss of consciousness, followed by full recovery caused by cerebral hypoperfusion. This symptom carries significance, as its potential underlying causes may involve the heart, blood pressure, or brain, leading to a spectrum of consequences, from sudden death to compromised quality of life. Various factors contribute to syncope, and adhering to a precise diagnostic pathway can enhance diagnostic accuracy and treatment effectiveness. A standardized initial assessment, risk stratification, and appropriate test identification facilitate determining the underlying cause in the majority of cases. New technologies, including artificial intelligence and smart devices, may have the potential to reshape syncope management into a proactive, personalized, and data-centric model, ultimately enhancing patient outcomes and quality of life. This review addresses key aspects of syncope management, including pathogenesis, current diagnostic testing options, treatments, and considerations in the geriatric population.
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Affiliation(s)
- Anna Maria Martone
- Fondazione Policlinico Universitario “A. Gemelli” IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy; (A.M.M.); (F.C.); (V.G.); (G.L.); (G.Z.)
- Department of Geriatrics, Orthopedics, and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; (C.M.); (R.G.); (T.G.)
| | - Iris Parrini
- Department of Cardiology, Mauriziano Hospital, Largo Filippo Turati, 62, 10128 Turin, Italy
| | - Francesca Ciciarello
- Fondazione Policlinico Universitario “A. Gemelli” IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy; (A.M.M.); (F.C.); (V.G.); (G.L.); (G.Z.)
| | - Vincenzo Galluzzo
- Fondazione Policlinico Universitario “A. Gemelli” IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy; (A.M.M.); (F.C.); (V.G.); (G.L.); (G.Z.)
| | - Stefano Cacciatore
- Department of Geriatrics, Orthopedics, and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; (C.M.); (R.G.); (T.G.)
| | - Claudia Massaro
- Department of Geriatrics, Orthopedics, and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; (C.M.); (R.G.); (T.G.)
| | - Rossella Giordano
- Department of Geriatrics, Orthopedics, and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; (C.M.); (R.G.); (T.G.)
| | - Tommaso Giani
- Department of Geriatrics, Orthopedics, and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; (C.M.); (R.G.); (T.G.)
| | - Giovanni Landi
- Fondazione Policlinico Universitario “A. Gemelli” IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy; (A.M.M.); (F.C.); (V.G.); (G.L.); (G.Z.)
| | | | - Furio Colivicchi
- Division of Cardiology, San Filippo Neri Hospital-ASL Roma 1, Via Giovanni Martinotti, 20, 00135 Rome, Italy;
| | - Domenico Gabrielli
- Department of Cardio-Thoracic and Vascular Medicine and Surgery, Division of Cardiology, S. Camillo-Forlanini Hospital, Circonvallazione Gianicolense, 87, 00152 Rome, Italy;
| | - Fabrizio Oliva
- “A. De Gasperis” Cardiovascular Department, Division of Cardiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza dell’Ospedale Maggiore, 3, 20162 Milan, Italy;
| | - Giuseppe Zuccalà
- Fondazione Policlinico Universitario “A. Gemelli” IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy; (A.M.M.); (F.C.); (V.G.); (G.L.); (G.Z.)
- Department of Geriatrics, Orthopedics, and Rheumatology, Università Cattolica del Sacro Cuore, L.go F. Vito 1, 00168 Rome, Italy; (C.M.); (R.G.); (T.G.)
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