
[A deep learning method for differentiating nasopharyngeal carcinoma and lymphoma based on MRI].
Deep learning model differentiates nasopharyngeal carcinoma from lymphoma using MRI: AUC 0.93 for T1WI+T2WI. 📊🧠
Discover the newest research about AI innovations in 👂 Head & Neck Surgery.
Deep learning model differentiates nasopharyngeal carcinoma from lymphoma using MRI: AUC 0.93 for T1WI+T2WI. 📊🧠
“Liquid biopsy revolutionizes cancer detection! 📈 Blood ctDNA analysis leads research, enhancing precision medicine in 2024. 🩸”
Exploring digital twins in personalized surgery: enhancing precision and training for better outcomes. 🤖🔍
Oral microbiome may aid in non-invasive HNSCC diagnosis; study shows 0.78-0.89 AUC for classifier. 🦷🔬
AI models reveal distinct histopathologic features in HPV-positive head and neck cancers, enhancing detection accuracy. 🧬🔍
AI in healthcare: ChatGPT-4 aids tympanoplasty recovery by providing timely, accurate postoperative guidance. 🤖💡
Exploring LLMs in cancer treatment decisions 🧠💉: A study compares human recommendations with AI models in otorhinolaryngology.
ChatGPT shows varied accuracy in answering HPV+ oropharyngeal cancer questions. Consult healthcare professionals for reliable information. 🩺📚
AI enhances tracking of surgical instruments in mastoidectomy videos, improving precision and efficiency. 🤖🔍
Recent research highlights AI’s role in quantifying eosinophils in nasal polyps. Eosinophilia’s significance is crucial for treatment. 🤖🌿