TY - JOUR
T1 - The potential of artificial intelligence to revolutionize health care delivery, research, and education in cardiac electrophysiology
AU - Al-Khatib, Sana M.
AU - Singh, Jagmeet P.
AU - Ghanbari, Hamid
AU - McManus, David D.
AU - Deering, Thomas F.
AU - Avari Silva, Jennifer N.
AU - Mittal, Suneet
AU - Krahn, Andrew
AU - Hurwitz, Jodie L.
N1 - Publisher Copyright:
© 2024
PY - 2024/6
Y1 - 2024/6
N2 - The field of electrophysiology (EP) has benefited from numerous seminal innovations and discoveries that have enabled clinicians to deliver therapies and interventions that save lives and promote quality of life. The rapid pace of innovation in EP may be hindered by several challenges including the aging population with increasing morbidity, the availability of multiple costly therapies that, in many instances, confer minor incremental benefit, the limitations of healthcare reimbursement, the lack of response to therapies by some patients, and the complications of the invasive procedures performed. To overcome these challenges and continue on a steadfast path of transformative innovation, the EP community must comprehensively explore how artificial intelligence (AI) can be applied to healthcare delivery, research, and education and consider all opportunities in which AI can catalyze innovation; create workflow, research, and education efficiencies; and improve patient outcomes at a lower cost. In this white paper, we define AI and discuss the potential of AI to revolutionize the EP field. We also address the requirements for implementing, maintaining, and enhancing quality when using AI and consider ethical, operational, and regulatory aspects of AI implementation. This manuscript will be followed by several perspective papers that will expand on some of these topics.
AB - The field of electrophysiology (EP) has benefited from numerous seminal innovations and discoveries that have enabled clinicians to deliver therapies and interventions that save lives and promote quality of life. The rapid pace of innovation in EP may be hindered by several challenges including the aging population with increasing morbidity, the availability of multiple costly therapies that, in many instances, confer minor incremental benefit, the limitations of healthcare reimbursement, the lack of response to therapies by some patients, and the complications of the invasive procedures performed. To overcome these challenges and continue on a steadfast path of transformative innovation, the EP community must comprehensively explore how artificial intelligence (AI) can be applied to healthcare delivery, research, and education and consider all opportunities in which AI can catalyze innovation; create workflow, research, and education efficiencies; and improve patient outcomes at a lower cost. In this white paper, we define AI and discuss the potential of AI to revolutionize the EP field. We also address the requirements for implementing, maintaining, and enhancing quality when using AI and consider ethical, operational, and regulatory aspects of AI implementation. This manuscript will be followed by several perspective papers that will expand on some of these topics.
KW - Arrhythmias
KW - Artificial intelligence
KW - Electrophysiology
KW - Innovation
KW - Outcomes
UR - http://www.scopus.com/inward/record.url?scp=85194305954&partnerID=8YFLogxK
U2 - 10.1016/j.hrthm.2024.04.053
DO - 10.1016/j.hrthm.2024.04.053
M3 - Article
C2 - 38752904
AN - SCOPUS:85194305954
SN - 1547-5271
VL - 21
SP - 978
EP - 989
JO - Heart rhythm
JF - Heart rhythm
IS - 6
ER -