A study by investigators at the Icahn School of Medicine at Mount Sinai, in collaboration with colleagues from Rabin Medical Center in Israel and other collaborators, suggests that even the most advanced artificial intelligence (AI) models can make surprisingly simple mistakes when faced with complex medical ethics scenarios. The findings, which raise important questions about how and when to rely on large language models (LLMs), such as ChatGPT, in health care settings, were reported in the July 22 online issue of NPJ Digital Medicine. 

Patients prescribed drugs to help them lose weight may experience a rebound in weight gain after halting their prescription, finds a meta-analysis published in BMC Medicine...

As Japanese society increasingly gets global, a new study finds that its education system has not kept pace. Students with foreign roots face cultural and linguistic hurdles in schools that still operate on assumptions of homogeneity. Findings suggest a lack of teacher training on multiculturalism is contributing to isolation and missed learning opportunities for these students.

The United States was the world’s largest source of carbon emissions for more than a century. In a new analysis, researchers document the changing trends in U.S. carbon emissions from the late 19th century to the early 21st century, focusing on emissions from fossil fuels and industry. They discuss the main factors that contributed to the rollercoaster of changes in historical carbon emissions. The authors close by offering lessons from the U.S. experience for developing countries.