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Google released HAI-DEF toolkit with MedGemma (medical text/records) and MedSigLIP (image analysis) models. Supports local GPU deployment, privacy protection, and customization via Hugging Face/Vertex AI.....

According to KPMG China's recent report, "The First 50 Health Tech Companies," China accounts for more than 70% of the global release volume of medical large models. This data not only demonstrates China's rapid development in the field of intelligent healthcare, but also reflects the wide application of large language models in the healthcare industry. The report points out that about 65% of the currently released medical large models are large language models. These models can process and generate natural language, playing a significant supporting role in the analysis of medical data, patient communication, and scientific research.

A recent report titled "Health Tech 50 - The First Edition" released by KPMG China reveals that China has taken a leading position in the field of medical large models globally. The report indicates that the number of medical large models launched in China accounts for more than 70% of the global total, far surpassing other countries and regions. In terms of model categories, large language models (LLMs) are the most numerous, accounting for nearly 65%. Moreover, the report also highlights the strong growth momentum of the intelligent medical devices market in China. It is expected that by 2025, the scale of the intelligent medical devices market in China will reach 24.23 billion yuan, and it will continue to grow.

Microsoft CEO Satya Nadella recently announced on a social platform that Microsoft has officially launched the revolutionary medical AI system MAI-DxO. This innovative system stands out with its unique "model-agnostic" design, allowing it to flexibly adapt to language models of different manufacturers and capabilities, thereby significantly improving their diagnostic performance. More excitingly, MAI-DxO is not only able to simulate the diagnostic process of real doctors, but also demonstrated diagnostic accuracy far exceeding that of professional physicians in tests, while greatly reducing the cost of medical diagnosis. Microsoft has released test data.

Ant Group officially launched the AI health application "AQ" on June 26, offering more than 100 AI functions such as health education, medical consultation, and report interpretation. It connects over 5,000 hospitals, nearly one million doctors, and nearly 200 AI avatars of famous doctors nationwide. The application is now available on major app stores. Han Xinyi, CEO of Ant Group, stated: Ant hopes that through AQ, everyone will have a trusted health assistant, becoming a helpful assistant for universal health and an accessible medical aid. Intelligent questioning and multimodal recognition address medical challenges. Facing nearly 75% of Chinese

In a recent funding round, Abridge, an artificial intelligence startup dedicated to automating medical records, successfully raised $300 million in Series E financing, increasing its valuation to $5.3 billion. The round was led by the renowned investment firm Andreessen Horowitz, with Khosla Ventures also participating. Notably, this funding followed the company's $250 million funding round in February, when its valuation was $2.75 billion. Abridge has been in operation for seven years.

After a long period of anticipation and speculation, Xiaomi has finally officially announced its first AI glasses product. This highly anticipated device will be unveiled at tomorrow night's launch event. As another key product in Xiaomi's smart wearables field, the glasses are positioned as personal smart devices for the next generation, drawing widespread attention from the industry and consumers. It is reported that the rumors about Xiaomi AI glasses had already surfaced last year, but Xiaomi has remained silent and did not reveal any specific information. Now, with the release date approaching, the mystery surrounding this product is gradually being unveiled.

Recently, a research team from Stanford University conducted an interesting experiment exploring the role of artificial intelligence (AI) in medical diagnosis. They found that when AI transforms from a simple tool into a doctor's partner, the doctors' diagnostic accuracy improves by 10%. The study involved 70 licensed U.S. doctors, aiming to compare the effectiveness of AI with traditional diagnostic methods. Image source note: The image is generated by AI, and the image authorization service provider is Midjourney. In the experiment, doctors and AI jointly analyzed cases, with AI generating...

The Nanometer AI Super Search Intelligent Entity under the 360 Company has undergone a major update, adding new features such as multimodal content generation, cross-domain professional search, and smarter task preview functions. From one-click generation of PPTs, PDF reports to automatically integrating videos, voiceover scripts, and storyboard planning, Nano AI redefines the boundary of AI search and creation with more efficient and intuitive experiences. AIbase comprehensively organizes the latest social media dynamics to help you deeply understand the latest breakthroughs of Nano AI. Multimodal Generation: Handle everything from PPTs to videos with one click.

Recently, Stanford University released a comprehensive evaluation of clinical medical AI models. DeepSeek R1 stood out as the champion among nine leading large models, achieving a 66% win rate and a macro average score of 0.75. The highlight of this evaluation is that it not only focuses on traditional medical license exam questions but also delves into the daily work scenarios of clinical doctors, providing more practical assessments. The evaluation team developed an integrated assessment framework called MedHELM, which includes 35 benchmarks covering 22 subtasks in medicine.