EurekAlert! In the Spotlight

Welcome to In the Spotlight, where each month we shine a light on something exciting, timely, or simply fascinating from the world of science.

This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.

Latest News Releases

Updates every hour. Last Updated: 17-Nov-2025 05:11 ET (17-Nov-2025 10:11 GMT/UTC)

20-May-2025

Radiologists share tips to prevent AI bias

Radiological Society of North America
Peer-Reviewed Publication

Radiologists, computer scientists and informaticists outline pitfalls and best practices to mitigate bias in AI models.

Journal: Radiology

20-May-2025

Fine-tuned LLMs boost error detection in radiology reports

Radiological Society of North America
Peer-Reviewed Publication

A type of artificial intelligence called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study. Researchers said the findings point to an important role for this technology in medical proofreading.

Journal: Radiology

20-May-2025

The Online Journal of Public Health Informatics invites submissions on opportunities and challenges in the applications of AI in public health informatics

JMIR Publications
Business Announcement

JMIR Publications invites submissions to a new theme issue titled “Opportunities and Challenges in the Applications of AI In Public Health Informatics” in its open access journal Online Journal of Public Health Informatics. The premier, peer-reviewed journal is indexed in PubMed, PubMed Central (PMC), DOAJ, Sherpa/Romeo, Web of Science Core Collection: Emerging Sources Citation Index and Scopus.

20-May-2025

Intuition-guided reinforcement learning for soft tissue manipulation with unknown constraints

Beijing Institute of Technology Press Co., Ltd
Peer-Reviewed Publication

A research paper by scientists at Hefei University of Technology presented an intuition-guided deep reinforcement learning framework for soft tissue manipulation under unknown constraints.