Researchers have developed ECG2Stroke, a deep learning model that used electrocardiogram data, age and sex to predict stroke ...

A novel hierarchical deep learning framework enables direct Desikan-Killiany brain parcellation using only diffusion ...

Combining microscopy, scanning, and deep learning enables more precise imaging of functional dynamics in neural networks of human cortical organoids.

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

A multimodal deep learning framework trained on paired CT and MRI data demonstrated improved diagnostic accuracy when classifying ...

The FDA and EMA recognize the potential of AI in ADMET prediction, as long as models are transparent and well-validated.

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high ...

Die großen Fortschritte auf dem Gebiet der KI sehen wir als Nutzer beispielsweise durch die immer besseren Textübersetzungen ...