New AI Tool Enhances Medical Imaging Efficiency by 90%
New AI tool, MetaSeg, improves medical imaging efficiency by 90%. It simplifies image segmentation for better diagnosis. 🧠💻
Current insights on predicting vestibular diseases using machine learning.
Exploring machine learning's role in predicting vestibular diseases: a transformative approach for early diagnosis and personalized care. 🤖🩺
AI Enhances Diagnostic Accuracy Using Electronic Health Records
AI improves diagnostic accuracy by analyzing electronic health records, revealing hidden patterns for better patient care. 🩺📊
Integrative multi-omic profiling in blood reveals distinct immune and metabolic signatures between ACPA-negative and ACPA-positive rheumatoid arthritis.
Distinct immune and metabolic profiles in ACPA-negative vs. ACPA-positive rheumatoid arthritis revealed through multi-omic blood analysis. 🩸🔬
Label-free histological identification of intraductal carcinoma of the prostate using texture analysis-based multimodal stimulated Raman scattering microscopy.
Innovative imaging techniques boost IDC-P detection accuracy to 98% using machine learning and texture analysis. 📊🔬
Fine-tuning Llama-2-13B with AI-generated medical diagnoses: A novel strategy for optimizing ICD coding in gynecologic oncology.
AI-Enhanced ICD Coding in Gynecologic Oncology: Llama-2-13B Model Achieves 95% Accuracy! 📊🤖
AI Enhances Risk Prediction for Heart Attack Patients
AI improves heart attack risk prediction with the new GRACE 3.0 score, enhancing patient treatment decisions. ❤️🩺
Opportunities for digital health innovations to address patient-centered priorities in racialized pediatric populations: A qualitative study in British Columbia, Canada.
Exploring digital health innovations for equitable pediatric care in racialized communities. 📱👶 Insights from a BC study.
Technological advancements in antibody-based therapeutics for treatment of diseases.
Technological advancements in antibody therapeutics: 144 FDA-approved drugs, $267B sales, and AI-driven discoveries. 💉📈
Predicting hospice eligibility among dementia patients using language models.
GPT-4o predicts 6-month mortality in dementia patients, aiding hospice referrals with AUC of 0.79 and aHR of 31.02. 📊💡