Curtis P. Langlotz

Palo Alto University — United States

Medicine · Health Sciences

66h-index20.5kcitations326works17.62yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Radiology practices and education(86), Radiomics and Machine Learning in Medical Imaging(77), Topic Modeling(51), Artificial Intelligence in Healthcare and Education(49), Biomedical Text Mining and Ontologies(46)

Publications325 total

Shaping the future of myopia: artificial intelligence for vitreoretinal complications of high and pathologic myopia
Graefe s Archive for Clinical and Experimental Ophthalmology·2026Open Access
A multimodal retinal aging clock for biological age prediction and systemic health assessment via OCT and fundus imaging
Scientific Reports·2026Open Access
The Effect of AI on the Radiologist Workforce: A Task-Based Analysis
2025Open Access
EchoGraph system for automated quality assessment of echocardiography reports
npj Digital Medicine·2025Open Access
From Detection to Mitigation: Addressing Bias in Deep Learning Models for Chest X-Ray Diagnosis
2025Open Access
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
arXiv (Cornell University)·2025Open Access
Leveraging large language models to extract smoking history from clinical notes for lung cancer surveillance
npj Digital Medicine·2025· 1 citedOpen Access
Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
2025Open Access
Deep Learning Algorithm Prognosticating Retinal Tears and Detachments From Optical Coherence Tomography
Translational Vision Science & Technology·2025Open Access
Effects of Real-Time Notification of AI-Detected Incidental Coronary Artery Calcium on Statin Prescription: The NOTIFY-PICTURE Trial
Circulation·2025Open Access
Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods
arXiv (Cornell University)·2025Open Access
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology
arXiv (Cornell University)·2025Open Access
A Multi-Task Deep Learning Model for Pediatric Echocardiography Analysis
2025Open Access
Deep-learning based quantitative evaluation of postoperative atelectasis following right upper lobectomy
2025Open Access
P3.01.07 Socioeconomic Inequalities and Lung Cancer Outcomes: Evidence From an Integrated EHR Database and State Cancer Registry Data
Journal of Thoracic Oncology·2025
PT1.01.01 Large Language Models to Extract Smoking History From Clinical Notes in EHR to Evaluate Lung Cancer Surveillance Strategies
Journal of Thoracic Oncology·2025
Generative artificial intelligence in medicine
Nature Medicine·2025· 24 cited
Reply
Journal of the American College of Radiology·2025
Expert-level validation of AI-generated medical text with scalable language models
2025Open Access
MedVAL: Toward Expert-Level Medical Text Validation with Language Models
arXiv (Cornell University)·2025Open Access
page 1 of 17Next →

Frequent Co-authors

Matthew P. Lungren(16), Pranav Rajpurkar(12), Andrew Y. Ng(11), Jeremy Irvin(8), David B. Larson(7), Katie Shpanskaya(6), Robyn L. Ball(6), Bhavik N. Patel(6), Safwan S. Halabi(6), Daisy Yi Ding(5), Daniel L. Rubin(5), Kaylie Zhu(4), Brandon Yang(4), Hershel Mehta(4), Tony Duan(4), Aarti Bagul(4), Timothy J. Amrhein(4), Yuhao Zhang(4), Christopher D. Manning(4), Jayne Seekins(3)