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. 📊💡
Development of Teleoperated Robotic System for Remote Intraocular Microsurgery.
Teleoperated robotic system enhances intraocular microsurgery precision, achieving 2x success rate in remote procedures. 🤖👁️
New AI Model Enhances Breast Cancer Recurrence Prediction
New AI model improves breast cancer recurrence prediction by analyzing imaging and clinical data. Promising results for patient monitoring. 📊🤖