female radiologist analyzing an MRI image of the head

Project MAIRA

Multimodal AI for Radiology Applications

뉴스 & 기능

Illustrated headshots of Peter Lee, Umair Shah, Gianrico Farrugia
Microsoft Research 팟캐스트

| Peter Lee, Dr. Umair Shah, 그리고 Dr. Gianrico Farrugia

Former Washington State Secretary of Health Dr. Umair Shah and Mayo Clinic CEO Dr. Gianrico Farrugia explore how healthcare leaders are approaching AI when it comes to public health, care delivery, the healthcare-research connection, and the patient experience.

Alt text: The image features three white icons on a gradient background transitioning from blue on the left to green on the right. The first icon, located on the left, resembles an X-ray of a ribcage enclosed in a square with rounded corners. The middle icon depicts a hierarchical structure with one circle at the top connected by lines to two smaller circles below it. The third icon, positioned on the right, shows the letters
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| Daniel Coelho de Castro 그리고 Javier Alvarez-Valle

The world’s first multimodal, bilingual radiology dataset could reshape the way radiologists and AI systems make sense of X-rays. PadChest-GR, developed by the University of Alicante with Microsoft Research, has the potential to advance research across the field for years…

A stylized illustration of a green line-drawn hand holding a transparent prism with colorful bands of light being refracted through it against a black background.
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| Hoifung Poon, Theodore Zhao, Aiden Gu, Mu Wei, 그리고 Sheng Wang

BiomedParse reimagines medical image analysis, integrating advanced AI to capture complex insights across imaging types—a step forward for diagnostics and precision medicine.

On the left is a simple drawing of the lungs. The drawing shows the borders of the left and right lung as well as the trachea and the left and right main stem bronchi. The text under the drawing reads: Original image. To the right of the drawing are the 3 additional inputs of RadEdit. They are arranged vertically. On top there is an example editing prompt. It reads
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| Max Ilse, Daniel Coelho de Castro, 그리고 Javier Alvarez-Valle

RadEdit stress-tests biomedical vision models by simulating dataset shifts through precise image editing. It uses diffusion models to create realistic, synthetic datasets, helping to identify model weaknesses and evaluate robustness.

Research Focus: June 24, 2024
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In this issue: RENC makes 5G vRAN servers more energy efficient; CoExplorer uses AI to keep video meetings on track; Automatic bug detection in LLM-powered text-based games; MAIRA-2: Grounded radiology report generation.

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AI saw unparalleled growth in 2023, reaching millions daily. This progress owes much to the extensive work of Microsoft researchers and collaborators. In this review, learn about the advances in 2023, which set the stage for further progress in 2024.

EMNLP 2023 blog hero - female radiologist analyzing an MRI image of the head
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| Javier Alvarez-Valle 그리고 Matthew Lungren

This research paper is being presented at the 2023 Conference on Empirical Methods in Natural Language Processing (opens in new tab) (EMNLP 2023), the premier conference on natural language processing and artificial intelligence. In recent years, AI has been increasingly…

BioViL-T sequence diagram
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| Ozan Oktay, Javier Alvarez-Valle, 그리고 Matthew Lungren

The use of self-supervision from image-text pairs has been a key enabler in the development of scalable and flexible vision-language AI models in not only general domains but also in biomedical domains such as radiology. The goal in the radiology…