Discover the newest research about AI innovations in Research.
A recent PubMed article explores how well humans can distinguish between AI-generated and human-authored medical manuscripts. 🤖📄
New AI pipeline identifies potential anti-HAPE drugs using deep learning and Cell Painting images. Promising results with ferulic acid and resveratrol! 🌄💊
AI models reveal distinct histopathologic features in HPV-positive head and neck cancers, enhancing detection accuracy. 🧬🔍
AI methods show promise in tuberculosis detection, achieving high accuracy and sensitivity. Future research should explore real-world applications. 🦠🤖
Exploring hypersexuality in bipolar disorder through Reddit data reveals significant trends and psychological insights. 📊🧠
New research highlights a 36% incidence of renal replacement therapy in patients on mechanical circulatory support. 🩺📊
Clinician-driven data preprocessing enhances AI in nuclear medicine, improving predictive performance by up to 18%. 📈🤖
Exploring AI in medical exams: AIGC enhances question design, but manual review is essential for quality. 🤖📚
Generative AI tools show promise in medical queries but often produce inauthentic references. Caution is advised. ⚖️📚
Digital dementia highlights cognitive decline from excessive device use. 📱🧠 Strategies for reducing screen time are essential for cognitive health.
