Comparing Diagnostic Accuracy of ChatGPT to Clinical Diagnosis in General Surgery Consults: A Quantitative Analysis of Disease Diagnosis.
AI vs. Clinical Diagnosis: ChatGPT’s Accuracy in Surgery 🏥🤖
May 14, 2025
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Discover the newest research about AI innovations in 🚑 Critical Care.
Explainable machine learning model for prediction of 28-day all-cause mortality in immunocompromised patients in the intensive care unit: a retrospective cohort study based on MIMIC-IV database.
Predicting 28-day mortality in ICU immunocompromised patients using machine learning: SVM achieves AUROC of 0.863 📊💡
May 4, 2025
Machine learning-based Diagnostic model for determining the etiology of pleural effusion using Age, ADA and LDH.
Machine learning enhances pleural effusion diagnosis: 742 patients, F1 scores >0.890 for MPE, >0.870 for TPE. 📊🤖
May 4, 2025
Response Regarding: “Generative Artificial Intelligence in Academic Surgery: Ethical Implications and Transformative Potential”.
Exploring AI’s role in surgery: ethical concerns and transformative potential highlighted in recent research. 🤖⚕️
April 19, 2025
Strategic Considerations for Selecting Artificial Intelligence Solutions for Institutional Integration: A Single-Center Experience.
AI in healthcare offers potential benefits, but careful selection and integration are crucial for success. 🤖💡
April 10, 2025
A common longitudinal intensive care unit data format (CLIF) for critical illness research.
A new open-source ICU data format (CLIF) enhances critical illness research, improving data management and insights. 📊💡
March 17, 2025
Limiting the gamble: Risk and predictability for renal replacement therapy in patients receiving mechanical circulatory support★.
New research highlights a 36% incidence of renal replacement therapy in patients on mechanical circulatory support. 🩺📊
March 8, 2025
AI Enhancements in ICU Care: New Study Highlights Predictive Accuracy and Transparency
AI Enhancements in ICU Care: New Study Highlights Predictive Accuracy and Transparency 🏥🤖
A recent study shows AI improves ICU patient predictions and offers clear insights for better decision-making.
February 4, 2025
AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study.
AI models enhance early sepsis detection using blood count analysis, improving patient care in critical settings. 🩸🤖
January 25, 2025
Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.
New AI methods can predict neurologic changes in critically ill infants using video data. 🤖👶 Promising for NICU care!
January 8, 2025