Imaging Informatics

AI detects tuberculosis on photos of chest x-rays

By Will Morton

Mobile phone-based analog radiographic image analysis could represent an easily implementable tool.

January 23, 2026

What's AI's impact on radiologist burnout?

By Liz Carey

Despite optimism about AI implementation in radiology, how AI affects radiologist burnout in the real-world remains a "black box," researchers have found.

January 21, 2026

3 ways to ease increased workload from patient access to imaging reports

By Kate Madden Yee

Radiologists' workloads have increased by almost one-third due to the implementation of the 21st Century Cures Act.

January 20, 2026

Teleradiology at an inflection point: Growth potential amid market rivalry

By Amy Thompson

Amy Thompson of Signify Research discusses recent trends in the teleradiology market.

January 15, 2026

LLM outperforms RadLex for expanding terms in radiology reports

By Kate Madden Yee

The research results suggest that the LLM "can aid real-world natural language processing applications," researchers noted.

January 15, 2026

AI proves more sensitive than rads for identifying extranodal extension

By Kate Madden Yee

The algorithm bested head and neck cancer specialists for detecting pathologic lymph node extranodal extension.

January 13, 2026

What effect will AI have on the radiologist workforce?

By Will Morton

An analysis shows that AI will likely cause up to a 33% reduction in the need for radiologists over the next five years.

January 9, 2026

LLMs in radiology may find opening in updated FDA guidance

By Liz Carey

The U.S. FDA has released updated guidance that could pave the way for wider use of large language models (LLMs) in radiology.

January 8, 2026

Algorithm demonstrates prediction accuracy for lung cancer risk

By Kate Madden Yee

Using lung cancer risk-prediction models at the screening stage helps identify high-risk individuals.

January 7, 2026

Petition to U.S. FDA proposes alternative pathway for radiology AI

By Liz Carey

The proposal supports a dynamic, “try-first” culture in the U.S.

January 2, 2026

Deep-learning image reconstruction boosts CT venography performance

By Kate Madden Yee

Research findings could translate to better liver transplantation planning.

January 2, 2026

Radiologist blends clinical knowledge with visual storytelling

By Kate Madden Yee

Shubham Arora, MD's art helps "visualize anatomy and pathology in a way that mirrors how we actually encounter them in imaging."

January 2, 2026

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