Jae Ho Sohn
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Federated learning for predicting clinical outcomes in patients with COVID-19
2021 · 690 Zit. · Nature Medicine
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
2020 · 409 Zit. · JAMA Network Open
Federated Learning used for predicting outcomes in SARS-COV-2 patients
2021 · 44 Zit. · Research Square
An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow
2020 · 39 Zit. · Journal of Digital Imaging
Domain specific word embeddings for natural language processing in radiology
2020 · 28 Zit. · Journal of Biomedical Informatics
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
2024 · 25 Zit. · BMC Medical Imaging
Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports
2022 · 21 Zit. · Radiology Artificial Intelligence
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning
2020 · 18 Zit. · Radiology Artificial Intelligence
Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing
2021 · 15 Zit. · BMC Medical Informatics and Decision Making
Algorithmic Prediction of Delayed Radiology Turn-Around-Time during Non-Business Hours
2021 · 6 Zit. · Academic Radiology
RadSearch, a Semantic Search Model for Accurate Radiology Report Retrieval with Large Language Model Integration
2025 · 5 Zit. · Radiology
Clinical language search algorithm from free-text: facilitating appropriate imaging
2022 · 4 Zit. · BMC Medical Imaging
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems
2024 · 2 Zit. · arXiv (Cornell University)
Automatic Hip Fracture Identification and Functional Subclassification\n with Deep Learning
2019 · 2 Zit. · arXiv (Cornell University)
An Open-source Fine-tuned Large Language Model for Radiological Impression Generation: A Multi-reader Performance Study
2024 · 1 Zit. · Research Square