Peter A. Noseworthy
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Broad Instituteas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-4308-0456
- OpenAlex ID
- A5043658621, A5125187212, A5125560159as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 24
A comprehensive artificial intelligence–enabled electrocardiogram interpretation program,
Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs,
An artificial intelligence–enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the ‘Turing test’?,
Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography,
Assessing and Mitigating Bias in Medical Artificial Intelligence,
Automated detection of low ejection fraction from a one-lead electrocardiogram: application of an AI algorithm to an electrocardiogram-enabled Digital Stethoscope,
Clinical trial design data for electrocardiogram artificial intelligence-guided screening for low ejection fraction (EAGLE),
Comparison of two artificial intelligence-augmented ECG approaches: Machine learning and deep learning
+16 more
← Authored by 24
A comprehensive artificial intelligence–enabled electrocardiogram interpretation program,
Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs,
An artificial intelligence–enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the ‘Turing test’?,
Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography,
Assessing and Mitigating Bias in Medical Artificial Intelligence,
Automated detection of low ejection fraction from a one-lead electrocardiogram: application of an AI algorithm to an electrocardiogram-enabled Digital Stethoscope,
Clinical trial design data for electrocardiogram artificial intelligence-guided screening for low ejection fraction (EAGLE),
Comparison of two artificial intelligence-augmented ECG approaches: Machine learning and deep learning
+16 more
Affiliated with 4
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Summary
Peter A. Noseworthy is a human[1].