AI mistakes can cost doctors time when writing to patients
Reports and Proceedings
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.
Updates every hour. Last Updated: 3-Nov-2026 13:17 ET (3-Nov-2026 18:17 GMT/UTC)
A Dartmouth study finds that AI may cost doctors time when corresponding with patients by making them spend more time editing AI-drafted responses than it would take to write them. The researchers analyzed 146,000 conversations between patients and their primary care physicians from the online portal of a large healthcare system and found that automated responses frequently introduced errors and extraneous details. But the study provides a framework for generating "good" AI responses that align with how clinicians communicate and shows that adapting AI to individual physicians can reduce editing by 26%. The study was presented at the 64th Annual Meeting of the Association for Computational Linguistics.
Researchers used machine learning to show how a common tire by-product could disrupt brain function
Viscosity is a fundamental property that determines how easily a material flows, affecting systems from industrial materials to the Earth's deep interior. Yet, scientists have rarely considered whether viscosity has an upper limit because high-viscosity materials are usually rock-forming minerals outside fluid dynamics studies. Now, a Japanese researcher has combined Earth observations, laboratory experiments, and numerical simulations to estimate a physically meaningful upper viscosity bound of 1030±2 Pa s, with implications for geophysics and materials.
Researchers are sharing lessons from the unprecedented Stanley Park coyote attacks from 2020 to 2021 to help people better coexist with urban wildlife.
Coyotes are here to stay, say authors of a new study which examined contributing factors to nine months of aggressive coyote encounters that resulted in a cull of 11 coyotes in Vancouver’s largest urban park.
Nathan Lewis, a UBC zoology doctoral candidate, and Dr. Sarah Benson-Amram, an associate professor in the UBC departments of zoology and forest and conservation sciences, discuss how people across North America can live in harmony with their four-legged neighbours.
Researchers at the University of Osaka have used machine learning to develop a systematic framework for structural descriptors in supercooled water. A neural network model was used to quantitatively assess the performance of 16 structural descriptors in differentiating between two states of water, a high-density liquid and a low-density liquid. The framework could be used to further our understanding of the anomalous behavior of water.