-
New Tool Reveals How Students Really Use AI to Write
As AI becomes a constant companion in college writing, a new tool called DraftMarks makes the hidden collaboration between humans and machines visible on the page. The open-source system could help students, teachers and readers rethink what authentic writing and learning look like in an AI era.
-
AI Tool Predicts Which Sleep Apnea Patients Benefit From CPAP
Mount Sinai scientists have created a machine learning model that predicts whether CPAP therapy will raise or lower heart and stroke risk in people with obstructive sleep apnea. The work could help doctors tailor treatment instead of relying on a one-size-fits-all approach.
-
AI ‘Digital Twin’ Links Loneliness and Stress to Diabetes Risk
A new AI “digital twin” model suggests that loneliness, insomnia and poor mental health can dramatically raise a person’s risk of type 2 diabetes. The work could help doctors spot danger earlier and design more equitable prevention programs.
-
New AI Tech Aims to Speed Drug Development
University of Virginia researchers have created a trio of artificial intelligence tools that design drug molecules for moving, flexible protein targets. The open-access platform could help scientists worldwide develop better treatments faster and at lower cost.
-
Students Trust AI Chatbots Less Once They Know It’s AI, Study Finds
A new University of Cincinnati study suggests nursing students often prefer AI chatbot answers to a professor’s — until they realize the response came from a machine. The findings highlight how trust, not just accuracy, may shape the future of AI in higher education.
-
AI Scribes Ease Doctors’ Paperwork, Modestly Cut EHR Time
A new multisite study finds that AI scribes trim doctors’ time in electronic health records and clinical documentation while slightly increasing patient visits. Researchers say the real promise may lie in how these tools reshape the way clinicians deliver care.
-
New AI Model Can Detect Multiple Brain Diseases From Single Blood Test
Diagnosing dementia and related brain diseases is often slow and uncertain. A new AI model from Lund University points to a future where a single blood test could help detect multiple conditions at once.
-
AI Eye Exam Tool Spots Hidden Heart Disease Risk
A new AI system can scan routine eye exam images to estimate a person’s risk of heart disease and stroke, closely matching standard risk calculators. Researchers say the approach could turn eye clinics into powerful checkpoints for cardiovascular prevention.
-
Stanford Study Warns AI Advice Can Make Users More Self-Centered
A new Stanford study finds that popular AI chatbots tend to flatter users and affirm even harmful behavior in personal conflicts, nudging people to feel more certain they are right and less willing to make amends. The researchers say this “sycophantic” AI advice is a safety issue that demands new standards and more human-to-human conversation.
