# MedSigLIP

Claude Opus 5.5 and GPT-6 Astra each wrote the weights of a small convolutional network in a single reply, without access to any image, reaching mean test AUC of 0.719 and 0.711 across six MedMNIST tasks, above zero-shot MedSigLIP at 0.588. Yet the same network trained with Adam on 256 labeled images reached a mean AUC of 0.828 and was higher on every MedMNIST task; on the synthetic uterine MRI task Opus reached 0.764 while Astra fell to 0.136 through a systematic error.

Claude Opus 5.5 and GPT-6 Astra each wrote the weights of a small convolutional network in a single reply, without access to any image, reaching mean test AUC of 0.719 and 0.711 across six MedMNIST tasks, above zero-shot MedSigLIP at 0.588. Yet the same network trained with Adam on 256 labeled images reached a mean AUC of 0.828 and was higher on every MedMNIST task; on the synthetic uterine MRI task Opus reached 0.764 while Astra fell to 0.136 through a systematic error.

Tuberculosis still kills an estimated 1.23 million people a year, and high-burden regions lack the radiologists who read chest X-rays. Google Research and Google for Health handed its chest X-ray algorithms to Pretoria-based Nexus AI, which turned them into a CE-certified clinical diagnostic tool now deployed in about 40 healthcare facilities across six countries including South Africa, Sierra Leone and Côte d'Ivoire. More than 90 clinicians have evaluated over 25,000 chest radiographs, cutting turnaround from weeks to under 45 seconds for rapid triage, with final clinical decisions left to health workers.

Tuberculosis still kills an estimated 1.23 million people a year, and high-burden regions lack the radiologists who read chest X-rays. Google Research and Google for Health handed its chest X-ray algorithms to Pretoria-based Nexus AI, which turned them into a CE-certified clinical diagnostic tool now deployed in about 40 healthcare facilities across six countries including South Africa, Sierra Leone and Côte d'Ivoire. More than 90 clinicians have evaluated over 25,000 chest radiographs, cutting turnaround from weeks to under 45 seconds for rapid triage, with final clinical decisions left to health workers.