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Artificial intelligence in cardiovascular prevention: new ways will open new doors.
Ciccarelli, Michele; Giallauria, Francesco; Carrizzo, Albino; Visco, Valeria; Silverio, Angelo; Cesaro, Arturo; Calabrò, Paolo; De Luca, Nicola; Mancusi, Costantino; Masarone, Daniele; Pacileo, Giuseppe; Tourkmani, Nidal; Vigorito, Carlo; Vecchione, Carmine.
  • Ciccarelli M; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
  • Giallauria F; Department of Translational Medical Sciences, Federico II University, Naples, Italy.
  • Carrizzo A; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
  • Visco V; Vascular Physiopathology Unit, IRCCS Neuromed, Pozzilli.
  • Silverio A; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
  • Cesaro A; Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
  • Calabrò P; Department of Translational Medical Sciences, University of Campania 'Luigi Vanvitelli', Naples, Italy.
  • De Luca N; Department of Translational Medical Sciences, University of Campania 'Luigi Vanvitelli', Naples, Italy.
  • Mancusi C; Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy.
  • Masarone D; Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy.
  • Pacileo G; Heart Failure Unit, Department of Cardiology, AORN dei Colli-Monaldi Hospital Naples, Naples, Italy.
  • Tourkmani N; Heart Failure Unit, Department of Cardiology, AORN dei Colli-Monaldi Hospital Naples, Naples, Italy.
  • Vigorito C; Cardiology and Cardiac Rehabilitation Unit, 'Mons. Giosuè Calaciura Clinic', Catania, Italy.
  • Vecchione C; ABL, Guangzhou, China.
J Cardiovasc Med (Hagerstown) ; 24(Suppl 2): e106-e115, 2023 05 01.
Artículo en Inglés | MEDLINE | ID: covidwho-20234238
ABSTRACT
Prevention and effective treatment of cardiovascular disease are progressive issues that grow in tandem with the average age of the world population. Over recent decades, the potential role of artificial intelligence in cardiovascular medicine has been increasingly recognized because of the incredible amount of real-world data (RWD) regarding patient health status and healthcare delivery that can be collated from a variety of sources wherein patient information is routinely collected, including patient registries, clinical case reports, reimbursement claims and billing reports, medical devices, and electronic health records. Like any other (health) data, RWD can be analysed in accordance with high-quality research methods, and its analysis can deliver valuable patient-centric insights complementing the information obtained from conventional clinical trials. Artificial intelligence application on RWD has the potential to detect a patient's health trajectory leading to personalized medicine and tailored treatment. This article reviews the benefits of artificial intelligence in cardiovascular prevention and management, focusing on diagnostic and therapeutic improvements without neglecting the limitations of this new scientific approach.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Fármacos Cardiovasculares / Enfermedades Cardiovasculares Tipo de estudio: Estudios diagnósticos / Estudio experimental / Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado Límite: Humanos Idioma: Inglés Revista: J Cardiovasc Med (Hagerstown) Asunto de la revista: Angiología / Cardiología Año: 2023 Tipo del documento: Artículo País de afiliación: JCM.0000000000001431

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Fármacos Cardiovasculares / Enfermedades Cardiovasculares Tipo de estudio: Estudios diagnósticos / Estudio experimental / Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado Límite: Humanos Idioma: Inglés Revista: J Cardiovasc Med (Hagerstown) Asunto de la revista: Angiología / Cardiología Año: 2023 Tipo del documento: Artículo País de afiliación: JCM.0000000000001431