Akhil Vaid
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Mount Sinai Hospital, Icahn School of Medicine at Mount Sinaias 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
- 0000-0002-3343-744X
- OpenAlex ID
- A5042331995, A5066212855as 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 12
A foundational vision transformer improves diagnostic performance for electrocardiograms,
A strategy for cost-effective large language model use at health system-scale,
Calibration of ECG-Based Deep-Learning Algorithm Scores for Patients Flagged as High Risk for Hypertrophic Cardiomyopathy,
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments,
Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation,
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room,
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach,
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings
+4 more
← Authored by 12
A foundational vision transformer improves diagnostic performance for electrocardiograms,
A strategy for cost-effective large language model use at health system-scale,
Calibration of ECG-Based Deep-Learning Algorithm Scores for Patients Flagged as High Risk for Hypertrophic Cardiomyopathy,
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments,
Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation,
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room,
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach,
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings
+4 more
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Summary
Akhil Vaid is a human[1].