An Artificial Intelligence Analysis of Electrocardiograms for the Clinical Diagnosis of Cardiovascular Diseases: A Narrative Review

Assunta Di Costanzo, Carmen Spaccarotella, Giovanni Esposito, Ciro Indolfi

Journal of Clinical Medicine 2024 review cited by 42

Source Open-access PDF More in Medicine & Health

importance 8/10 ai assisted ECG Monitoring and Analysis cardiology diagnostics stage: research

Problem

Fast, accurate clinical diagnosis of cardiovascular diseases from ECG traces, the most widely used tool in cardiology.

Why it matters

ECG interpretation quality affects a very large patient population since it is the most widely used cardiac diagnostic exam.

What the AI did

Narrative review of deep learning CNN methods applied to ECGs, reporting diagnostic capability overlapping with specialists and AI arrhythmia recognition from wearable single-derivative ECGs.

Results

not stated in source

Impact

Reviews evidence that AI can support rapid ECG interpretation at specialist level.

Record

Venue	Journal of Clinical Medicine
Published	2024
Work type	review
Authors	Assunta Di Costanzo, Carmen Spaccarotella, Giovanni Esposito, Ciro Indolfi
Citations	42 (OpenAlex, at import time)
References	84
Model or method	CNNs (deep learning)
Organization	not stated in source
Primary source	https://doi.org/10.3390/jcm13041033
Open access	gold
Keywords	AI, ECG, deep learning, CNN, cardiovascular disease, arrhythmia

Importance rating

8 / 10

major — millions of lives, an industry or a field

Abstract states ECGs are the cornerstone and most widely used diagnostic tool in cardiology, so AI-assisted interpretation affects a very large patient population across the field.

Basis: stated. The source itself states the scale. Stated scale: not stated in source. Method and limits.

More in Medicine & Health

#	Paper	Year	Citations	Importance
1	Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction Yeong Chan Lee, Jiho Cha, Injeong Shim, Woong‐Yang Park, Se Woong Kang...	2023	107	10
2	Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization Tawsifur Rahman, Amith Abdullah Khandakar, Muhammad Abdul Kadir, Khand...	2020	651	10
3	A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach Nitish Biswas, Khandaker Mohammad Mohi Uddin, Sarreha Tasmin Rikta, Sa...	2022	116	10
4	Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning Hamada R. H. Al-Absi, Mohammad Tariqul Islam, Mahmoud Ahmed Refaee, Mu...	2022	89	10
5	Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential Kruthi Suvarna, Deeptarup Biswas, Medha Gayathri J. Pai, Arup Acharjee...	2021	76	10