Adam E. Flanders

Adam E. Flanders

Radiology
111 South 11th Street
Suite 3350
Philadelphia, PA 19107

Last Updated: 09/26/2026

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Found 156 publications

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification.

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification.

Journal: ArXiv
Published: July 02, 2026

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification.

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification.

Journal: ArXiv
Published: July 02, 2026

A multi-agent large language model framework to automatically assess performance of a clinical AI Triage tool.

A multi-agent large language model framework to automatically assess performance of a clinical AI Triage tool.

Journal: npj health systems
Published: June 05, 2026

Measuring Radiology's Impact: Core Concepts for Tracking Patient-Oriented Outcomes and Delivering High-Value Care-A Perspective by the ACR's Relevance and Impact Committee.

Measuring Radiology's Impact: Core Concepts for Tracking Patient-Oriented Outcomes and Delivering High-Value Care-A Perspective by the ACR's Relevance and Impact Committee.

Journal: AJR. American journal of roentgenology
Published: May 27, 2026

Measuring Radiology's Impact: Core Concepts for Tracking Patient-Oriented Outcomes and Delivering High-Value Care-A Perspective by the ACR's Relevance and Impact Committee.

Measuring Radiology's Impact: Core Concepts for Tracking Patient-Oriented Outcomes and Delivering High-Value Care-A Perspective by the ACR's Relevance and Impact Committee.

Journal: AJR. American journal of roentgenology
Published: May 27, 2026

Vendor-Agnostic Multisite Automated Dual-Energy X-Ray Absorptiometry Reporting Using Artificial Intelligence-Based Optical Character Recognition: Impact on Workflow Efficiency and Accuracy.

Vendor-Agnostic Multisite Automated Dual-Energy X-Ray Absorptiometry Reporting Using Artificial Intelligence-Based Optical Character Recognition: Impact on Workflow Efficiency and Accuracy.

Journal: Journal of the American College of Radiology : JACR
Published: April 15, 2026

Preoperative Nasoseptal-Lacrimal Fossa Distance as a Predictor of Endoscopic DCR Failure: A Retrospective Analysis.

Preoperative Nasoseptal-Lacrimal Fossa Distance as a Predictor of Endoscopic DCR Failure: A Retrospective Analysis.

Journal: American journal of rhinology & allergy
Published: January 16, 2026

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.

Journal: Radiology. Artificial intelligence
Published: January 14, 2026

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset.

Journal: Radiology. Artificial intelligence
Published: January 14, 2026

Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.

Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.

Journal: Journal of imaging informatics in medicine
Published: October 01, 2025

Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.

Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.

Journal: Radiology. Artificial intelligence
Published: October 01, 2025

Reinforcement learning improves LLM accuracy and reasoning in disease classification from radiology reports.

Reinforcement learning improves LLM accuracy and reasoning in disease classification from radiology reports.

Journal: NPJ digital medicine
Published: September 25, 2025
Showing 1-12 of 156

Last Updated: 09/26/2026