What question did this study set out to answer?

To review the electrophysiological actions of antiarrhythmic drugs and examine how artificial intelligence and dynamic modeling drive modern cardiac drug discovery.

April 1, 1971Annual Review of Pharmacology

Antiarrhythmic Drugs: Electrophysiological Actions

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Authors

ABArthur L. BassettUniversity of Miami BHBrian F. HoffmanBrunswick (United States)

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Implication

AI modeling may accelerate CV drug candidate screening; leaves open rigorous outcome validation before practice impact.

Key Points

To review the electrophysiological actions of antiarrhythmic drugs and examine how artificial intelligence and dynamic modeling drive modern cardiac drug discovery.
Reviewed contemporary frameworks integrating big data into antiarrhythmic candidate drug screening.
Assessed artificial intelligence techniques and dynamic modeling systems applied to evaluate drug-induced electrophysiological effects on cardiac tissue.
Big data integration accelerates early-stage screening by shifting evaluation toward predictive, computational modeling paradigms.
Artificial intelligence architectures successfully capture dynamic electrophysiological interactions, improving the identification and characterization of viable antiarrhythmic agents.

Cite This Study

Bassett et al. (1971) studied this question.

synapsesocial.com/papers/6a92672c0e9b60bc4641f385 https://doi.org/10.1146/annurev.pa.11.040171.001043

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Antiarrhythmic Drugs: Electrophysiological Actions

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Implication

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Cite This Study

Antiarrhythmic Drugs: Electrophysiological Actions

Discussion

Member takes

Implication

Key Points

Cite This Study

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