A foundation model for human-AI collaboration in medical literature mining.
AI in Medical Literature Mining: LEADS Model Boosts Recall to 0.81, Saves 20.8% Time! 📊🤖
The prompt-powered worksheet: Transforming educators’ generative AI trepidation into student learning tools.
Transforming AI in education: A prompt-powered worksheet enhances critical thinking in health professions. 📚🤖
Standardisation of an AI-based vocal fold assessment tool on a recurrent respiratory papillomatosis model.
AI tool enhances vocal fold assessment in recurrent respiratory papillomatosis, showing 69.5% to 42.6% improvement post-treatment. 📉🔍
Importance of Digital Solutions for NHS Productivity Highlighted by Jim Mackey
Digital solutions are crucial for NHS productivity, says Sir Jim Mackey. Technology can enhance patient access and care efficiency. 💻🏥
Large language models to develop evidence-based strategies for primary and secondary cardiovascular prevention.
AI in Cardiovascular Care: ChatGPT-4o shows 75% accuracy in prevention strategies, but readability remains challenging. 📊❤️
Concerns Raised Over New EPR System at Sheffield Teaching Hospitals
Concerns arise over Sheffield Teaching Hospitals' new EPR system, affecting outpatient bookings and patient records. 🏥📉
Artificial intelligence in healthcare and medicine: clinical applications, therapeutic advances, and future perspectives.
AI in healthcare enhances diagnostics, treatment, and equity, addressing global challenges. Key strategies include clinician training and regulatory frameworks. 🤖🌍
The hope and the hype of artificial intelligence for syncope management.
AI's role in syncope management: potential benefits, limitations, and future challenges. 🤖💔
Assessing the response quality and readability of ChatGPT in stuttering.
ChatGPT's responses on stuttering: 83.6% accuracy, 45.5% human-like perception. Readability scores indicate college-level comprehension. 📊🤖
Machine learning-assisted affinity ultrafiltration for bioactive natural products discovery:Application to screening of neuraminidase inhibitors from medicinal herbs.
Machine learning enhances bioactive compound discovery, identifying neuraminidase inhibitors with IC50 of 16.8 μM. 🌿🔬