Supply chain disruptions during the COVID-19 pandemic impacted the availability of iodinated contrast dyes for medical imaging in the United States. [ more ]
Open Data Science - Your News Source for AI, Machine Learning & more
AI-Related Technology Expected to See a Massive CAGR of 43%
AI in healthcare is projected to grow at a CAGR of 43.52% from 2024 to 2032, promising enhanced efficiency and patient outcomes.
AI leverages algorithms for tasks like analyzing medical images, predicting risks, and transforming clinical notes, improving diagnostic accuracy and patient care. [ more ]
Open Data Science - Your News Source for AI, Machine Learning & more
AMD crams five compute architectures onto a single board
AMD launches Embedded+ architecture with Ryzen processor and Versal AI Edge system-on-chip for low-power, low-latency data processing applications at the network edge.
AMD targets industrial robotics, retail and surveillance security, smart city gear, networking, machine vision, and medical imaging with its Embedded+ architecture. [ more ]
Is AI leading to a reproducibility crisis in science?
Artificial intelligence (AI) has been used to diagnose COVID-19 from chest X-rays, but research shows that the AI may be picking up on consistent differences in the backgrounds of the images rather than clinically relevant features.
Examples of AI misclassification in medical and other fields highlight the potential consequences of relying solely on AI for important decisions.
A review of 62 studies using AI to diagnose COVID-19 from chest X-rays or computed tomography scans found that none of the AI models were clinically useful. [ more ]
Is AI leading to a reproducibility crisis in science?
Artificial intelligence (AI) has been used to diagnose COVID-19 from chest X-rays, but research shows that the AI may be picking up on consistent differences in the backgrounds of the images rather than clinically relevant features.
Examples of AI misclassification in medical and other fields highlight the potential consequences of relying solely on AI for important decisions.
A review of 62 studies using AI to diagnose COVID-19 from chest X-rays or computed tomography scans found that none of the AI models were clinically useful. [ more ]
Is AI leading to a reproducibility crisis in science?
Artificial intelligence (AI) has been used to diagnose COVID-19 from chest X-rays, but research shows that the AI may be picking up on consistent differences in the backgrounds of the images rather than clinically relevant features.
Examples of AI misclassification in medical and other fields highlight the potential consequences of relying solely on AI for important decisions.
A review of 62 studies using AI to diagnose COVID-19 from chest X-rays or computed tomography scans found that none of the AI models were clinically useful. [ more ]
Is AI leading to a reproducibility crisis in science?
Artificial intelligence (AI) has been used to diagnose COVID-19 from chest X-rays, but research shows that the AI may be picking up on consistent differences in the backgrounds of the images rather than clinically relevant features.
Examples of AI misclassification in medical and other fields highlight the potential consequences of relying solely on AI for important decisions.
A review of 62 studies using AI to diagnose COVID-19 from chest X-rays or computed tomography scans found that none of the AI models were clinically useful. [ more ]