Title : Artificial intelligence in cardiology
Abstract:
Artificial intelligence (AI) has emerged as a revolution showcasing tremendous potential in a myriad of fields. This presentation aims to describe the expanding influence of AI in Cardiology and its impact on enhancing the accuracy and efficiency of clinical decision-making. AI tools like machine learning and deep learning can analyze large datasets of patient information to predict patterns that augment detection, risk stratification, and optimal treatment strategies for cardiovascular diseases.
Machine learning(ML) based products have shown remarkable promise in recent years. A Mayo Clinic study on an ML model analyzed data from over 60,000 ECGs to train an AI neural network model to detect Atrial fibrillation for population-wide screening. ML products have been approved by the FDA for use in ECG interpretation (PhysIQ, Shenzen Carewell), Atrial Fibrillation detection (AppleWatch, Alive Cor Heart Monitor), and Echocardiography measurements (Echo MD AutoEF, Echo Go Core).
Wearable devices enable continuous monitoring and real-time alerts to healthcare providers. A 2016 study describes how AI neural networks can automatically score coronary artery calcium in cardiac CT angiography.
In addition to diagnostic tools, AI-based algorithms offer predictive insights by assessing clinical data from Electronic health records. These are being utilized in predicting cardiovascular risk based on medical records from primary care, predicting readmission of patients with heart failure and long-and short-term mortality after ACS. AI’s impact also extends to help optimize treatment strategies by personalizing treatment plans, refining medication regimens, and predicting outcomes while identifying the most suitable candidates for interventions - improving procedural success rates and patient outcomes. Virtual assistants and chatbots can offer personalized guidance during follow-up, increasing patient engagement and satisfaction.
Healthcare expenditures can be lowered while improving access and efficacy by leveraging AI. While the integration of AI in medicine presents an immense range of possibilities, new threats arise. It is essential for clinician researchers, scientists, and policymakers to collectively address the unexplainable nature of decision-making, ethical considerations, regulations, and data privacy to implement AI tools effectively in clinical practice.
In conclusion, this presentation is a stepping stone to exploring the promise of the AI revolution in transforming healthcare while highlighting the need for further research, collaboration, and implementation to unlock its full potential.
