Publications | Flatiron Health | Artificial intelligence

Browse every publication tagged Artificial intelligence

October 2026
Leveraging large language models to characterize serious illness conversations in advanced non-small cell lung cancer
May 2026
From plenary to practice: A large language model (LLM)-based thematic analysis of landmark clinical trial discussions and factors influencing their real-world adoption
- Artificial intelligence
May 2026
Using ML to predict rapid progression for patients (pts) with HR+/HER2- metastatic breast cancer (mBC) treated with frontline (1L) CDK 4/6 inhibitors (CDK 4/6i)
May 2026
Digital twin models for counterfactual prediction in NSCLC: a validation study using clinical trial data
- Artificial intelligence
- Lung cancer
May 2026
Machine learning risk stratification in a US-based database to identify subgroups of patients with PD-L1-high NSCLC who benefit from adding chemotherapy to pembrolizumab
May 2026
Machine learning risk stratification in a US-based database to identify subgroups of patients with head and neck cancer who benefit from adding chemotherapy to pembrolizumab
May 2026
External validation of a deep learning CT biomarker to predict first-line immune checkpoint inhibitor monotherapy-associated survival in PD-L1–high metastatic non–small cell lung cancer
May 2026
Recurrence risk prediction using a large, multi-site observational dataset of patients with early breast cancer including early-onset disease
- Breast cancer
- Artificial intelligence
April 2026
From real-world data (RWD) to digital twins: building models for patient-level counterfactual prediction in oncology
- Artificial intelligence
- Lung cancer