Records found: 10
'OpenTSLM integrates time series as a native modality in pretrained LLMs to interpret ECGs, EEGs, and wearable data, achieving major performance and scalability gains over VLM and text-based approaches'
'PadChest-GR pairs sentence-level bilingual radiology text with spatially grounded chest X-ray annotations to improve model interpretability and reduce hallucinations.'
'The AI Hype Index highlights a breakthrough: AI-designed antibiotics show real promise, but recent safety incidents and overreliance on models underscore urgent oversight needs.'
'Rubrics as Rewards (RaR) introduces a reinforcement learning approach that uses structured rubrics as reward signals, improving language model training in complex domains like medicine and science.'
Google has open-sourced MedGemma 27B Multimodal and MedSigLIP, cutting-edge models designed for scalable multimodal medical reasoning and efficient healthcare AI applications.
DeepRare introduces an AI-driven agentic diagnostic platform that significantly improves rare disease diagnosis accuracy by integrating language models with clinical and genomic data.
ETH and Stanford researchers developed MIRIAD, a 5.8 million pair medical QA dataset grounded in peer-reviewed literature, improving LLM accuracy and hallucination detection in medical AI.
Radha Basu shares her journey building iMerit into a global leader in AI data services, blending human expertise with automation to deliver high-quality AI solutions across critical industries.
OpenAI has launched HealthBench, an open-source framework to rigorously evaluate large language models in healthcare using expert-validated multi-turn clinical conversations.
A man resolved a five-year chronic jaw problem within a minute using a simple exercise suggested by ChatGPT, surprising doctors and highlighting AI’s growing role in personal health.