Anthony Costa

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

2018 · 1.455 Zit. · PLoS Medicine

Federated learning for predicting clinical outcomes in patients with COVID-19

2021 · 692 Zit. · Nature Medicine

Health system-scale language models are all-purpose prediction engines

2023 · 432 Zit. · Nature

A study of generative large language model for medical research and healthcare

2023 · 360 Zit. · npj Digital Medicine

Natural Language–based Machine Learning Models for the Annotation of Clinical Radiology Reports

2018 · 142 Zit. · Radiology

Federated Learning used for predicting outcomes in SARS-COV-2 patients

2021 · 44 Zit. · Research Square

Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need

2024 · 26 Zit. · Journal of the American Medical Informatics Association

Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models

2019 · 21 Zit. · Annals of Translational Medicine

A Study of Generative Large Language Model for Medical Research and Healthcare

2023 · 16 Zit. · arXiv (Cornell University)

Artificial intelligence as applied to clinical neurological conditions

2020 · 1 Zit. · Artificial Intelligence in Medicine

754 Prediction of 30-day All-Cause Readmission of Neurosurgery Patients Using Large Language Models

2024 · 0 Zit. · Neurosurgery

Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need

2023 · 0 Zit. · arXiv (Cornell University)