Digital Health in Low-Resource Settings: Comprehensive Challenges and Opportunities With a Focus on Stroke Care.
Digital health in low-resource settings faces challenges but offers scalable solutions for stroke care. ๐๐
September 4, 2025
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Discover the newest research about AI innovations in ๐ Critical Care.
Application and ethical implication of generative artificial intelligence in medical education: a cross-sectional study among critical care academic physicians in China.
Exploring AI’s role in medical education: critical insights from Chinese physicians. ๐ค๐ Ethical implications and applications analyzed.
August 31, 2025
Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning.
Machine learning enhances blood gas sample accuracy in ICU: 33,800 samples analyzed, achieving AUCPR of 0.9974! ๐๐
July 27, 2025
Artificial intelligence in cardiovascular imaging: risks, mitigations and the path to safe implementation.
AI in cardiovascular imaging: balancing innovation with ethical safeguards for patient safety. ๐คโค๏ธ
June 29, 2025
Embracing artificial intelligence in nursing: exploring the relationship between artificial intelligence-related attitudes, creative self-efficacy, and clinical reasoning competency among nurses.
AI attitudes boost nurses’ creative self-efficacy & clinical reasoning! ๐ Strong correlations found in critical care settings. ๐ฉบ
June 22, 2025
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 ๐ฅ๐ค
May 14, 2025
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 ๐๐ก
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. ๐๐ค
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. ๐คโ๏ธ
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. ๐ค๐ก
April 10, 2025