GenSeg For Medical Image Segmentation in Low-Data Environments Medical image semantic segmentation is a fundamental process in modern healthcare, crucial for applications such as diagnosing diseases, tracking disease progression, planning treatments, and assistin... AI segmentation data efficiency deep learning generative models healthcare AI medical imaging synthetic data
MedGemma and MedSigLIP: Advancing Open Multimodal AI for Healthcare Innovation Artificial intelligence is rewriting the rules of healthcare, with cutting-edge models like Google's MedGemma and MedSigLIP leading the charge. These open and highly capable AI tools empower developer... AI benchmarks developer tools health AI MedGemma medical imaging MedSigLIP multimodal models open source
How Foxconn and NVIDIA Are Transforming Hospitals With Smart Robotics The global healthcare industry faces a daunting challenge: a projected shortage of 4.5 million nurses by 2030. To meet this crisis, Foxconn and NVIDIA are joining forces to introduce advanced robotics... AI healthcare digital twins Foxconn medical imaging nursing shortage NVIDIA robotics smart hospitals