Study Reveals AI Tools Can Misinterpret Patient Data in Electronic Records
AI tools may misinterpret patient data in electronic records, leading to inaccuracies. Human oversight remains essential for data integrity. 🏥🔍
The Contribution of Wearable Devices and Artificial Intelligence to Promoting Healthy Aging.
Wearable tech and AI boost healthy aging, enhancing well-being and independence for older adults. 📈🧓💡
Advancements in Computational Pathology for Precision Oncology
Advancements in computational pathology enhance precision oncology. Foundation models improve accuracy and efficiency in cancer diagnosis. 🧬🔬
Measuring biological age: Insights from omics studies.
Exploring biological age through omics: Genomics, epigenomics, and microbiomics reveal insights into aging and health. 🧬🔬
New Online Tool for Choosing AI Models for 3D Organ Imaging
New online tool aids in selecting AI models for 3D organ imaging, enhancing treatment accuracy for patients. 🩺💻
Establishing Research Priorities in a Tertiary Care Hospital: A Data-driven and Stakeholder-informed Approach.
Data-driven research priorities identified: 25% hospitalizations due to pregnancy-related conditions. Key focus on AI, telemedicine, and patient care. 📊🏥
MRI quantitative imaging biomarkers in differentiating brain parenchymal tuberculoma and lung cancer brain metastases.
MRI radiomics model distinguishes brain tuberculoma from lung cancer metastases with AUC up to 0.986. 📊🧠
Computer-vision based recognition of cervical spine stabilization during trauma resuscitation.
Innovative computer vision system detects cervical spine stabilization techniques with 91% accuracy during trauma resuscitation. 📊🩺