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AI & CognitionarXiv2026-07-08Skeptical (25)

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ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening

Shreyasvi Natraj, Cyrus Achtari, Felice Gragnano et al.

Electrocardiography (ECG) is one of the most widely used tests for diagnosing cardiovascular disease. Yet several remote clinics still utilize paper ECG printouts for their analysis due to limited connectivity and computational capacity. As a result, vast numbers of physical ECGs obtained in remote areas still remain incapable of being accessed by contemporary artificial intelligence (AI) based decision support as...

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AI & CognitionarXiv2026-07-08Skeptical (30)

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Any-Dimensional Learning by Sampling

Eitan Levin, Venkat Chandrasekaran

Many machine learning models are defined for inputs of different sizes, such as point clouds containing different numbers of points, sequences of tokens of different lengths, and graphs on different numbers of nodes. Such models are trained on finitely many examples of necessarily limited sizes. How well do these models generalize from inputs of small size to larger inputs of size not seen during training? Further...

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ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening

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