Researchers have made significant progress in using artificial intelligence (AI) and deep learning systems to diagnose brain tumors in real time. A recent study published in Nature reveals a method that combines rapid sequencing and deep-learned AI models to classify central nervous system tumors, enabling molecular diagnosis in less than 90 minutes. Dutch researchers have also developed a deep learning system that scans segments of a brain tumor's DNA and identifies certain chemical modifications, providing a detailed diagnosis of the tumor type and subtype. These advancements could lead to more effective treatments and streamline the diagnostic process for brain surgeons.
Dutch researchers developed a deep learning system that scans segments of a brain tumor’s DNA and alights on certain chemical modifications that can yield a detailed diagnosis of the type and even subtype of the tumor. https://t.co/j8qY4NCShY
New research suggests that AI can help brain surgeons identify and diagnose tumors in real time, leading to more effective treatments. Click below to read the story: https://t.co/ADtOvXKsuN
AI Could Help Brain Surgeons Diagnose Tumors in Real Time ► https://t.co/xTozzZvCNC https://t.co/xTozzZvCNC
Dutch researchers developed a deep learning system that scans segments of a brain tumor’s DNA and alights on certain chemical modifications that can yield a detailed diagnosis of the type and even subtype of the tumor. https://t.co/RGB9g5kGmz
New AI-driven tool streamlines experiments https://t.co/5wGADlXtT9
A method to quickly classify central nervous system tumours, combining rapid sequencing and deep-learned AI models, may enable molecular diagnosis in less than 90 minutes, according to a study published in @Nature. https://t.co/0xymHeqipU https://t.co/rSpbOdcmVH