Research Keyword: natural language processing

Dissecting the difference between positive and negative brain health sentiment using X data

mycolabadmin

This study examined over 390,000 posts on X (formerly Twitter) about brain and health to understand how people express positive and negative feelings. Researchers found that negative posts were shared more often and were linked to serious health concerns like COVID-19 and brain inflammation. People expressing negative sentiment mentioned medications like lorazepam and comfort foods like pizza, while those with positive sentiment discussed resilience, mindfulness, and different medications. The research highlights both the benefits and dangers of sharing health information on social media.

Read More »

Hype or hope? Ketamine for the treatment of depression: results from the application of deep learning to Twitter posts from 2010 to 2023

mycolabadmin

Researchers analyzed over 18,000 Twitter posts from 2010 to 2023 to understand what the public thinks about using ketamine to treat depression. They found that public opinion became much more positive after the FDA approved ketamine as a depression treatment in 2019. Most discussions consisted of personal stories from people who found ketamine helpful, especially those whose depression didn’t respond to other medications. While some people expressed caution and concerns, overall the public seems hopeful about ketamine’s potential.

Read More »

Mushroom data creation, curation, and simulation to support classification tasks

mycolabadmin

This study creates a new dataset of over 61,000 mushroom records from 173 species to help computers learn to identify whether mushrooms are safe to eat or poisonous. The researchers extracted mushroom information from an identification textbook and used computer programs to generate realistic hypothetical mushroom entries. They tested different AI methods and found that random forests (a type of machine learning algorithm) worked best, achieving perfect accuracy in identifying poisonous versus edible mushrooms.

Read More »

Large language models and their performance for the diagnosis of histoplasmosis

mycolabadmin

Researchers tested whether artificial intelligence chatbots like ChatGPT and Microsoft Copilot could help doctors diagnose histoplasmosis, a serious fungal infection affecting people with HIV/AIDS that is often missed. They presented 20 real patient case descriptions to different AI systems and found that Microsoft Copilot performed best, correctly identifying histoplasmosis in 90% of cases—about as good as laboratory tests. While the AI showed promise as a helpful tool to suggest this neglected disease during diagnosis, doctors would still need to verify findings with actual tests.

Read More »
Scroll to Top