HuatuoGPT-o1-70B is a large language model (LLM) developed by FreedomIntelligence, specifically designed for complex medical reasoning. Before providing a final response, the model generates a detailed thought process that reflects and refines its reasoning. HuatuoGPT-o1-70B can handle intricate medical issues, providing thoughtful answers that are crucial for improving the quality and efficiency of medical decisions. The model is based on the LLaMA-3.1-70B architecture, supports English, and can be deployed on various tools like vllm or Sglang, or used for direct inference.

HuatuoGPT-o1-7B is a large language model (LLM) developed by FreedomIntelligence for the medical domain, specifically designed for advanced medical reasoning. The model generates complex reasoning processes before providing final answers, reflecting and refining its inference. HuatuoGPT-o1-7B supports both Chinese and English, handles complex medical queries, and outputs results in a 'thought-answer' format, which is crucial for improving the transparency and reliability of medical decisions. Based on Qwen2.5-7B, it has been specifically trained to meet the needs of the medical field.

The CHIEF (Clinical Histopathology Imaging Evaluation Foundation) model is a foundational model for cancer diagnosis and prognostic prediction in pathology. It extracts pathology imaging features through two complementary pre-training methods: unsupervised pre-training for tile-level feature identification and weakly supervised pre-training for pattern recognition in whole slides. The CHIEF model has been developed using 60,530 whole slide images (WSIs) covering 19 different anatomical sites, leveraging pre-training on a 44TB high-resolution pathology imaging dataset to extract informative micro-representations useful for cancer cell detection, tumor origin identification, molecular profiling, and prognostic prediction. The model has been validated on 19,491 whole slide images from 32 independent slide sets across 24 international hospitals and cohorts, achieving overall performance improvements of up to 36.1% over state-of-the-art deep learning methods, demonstrating its ability to address domain shift issues observed in varying population samples and slide preparation methods. CHIEF provides a generalizable foundation for efficient digital pathology assessment of cancer patients.

Microsoft Dragon Copilot is an AI-powered clinical workflow solution from Microsoft for the healthcare sector. It aims to help healthcare professionals reduce administrative burdens and focus on patient care through automated and intelligent document processing technology. This product utilizes advanced natural language processing and machine learning technologies to automatically capture multilingual doctor-patient conversations and translate them into detailed clinical documents. Its key advantages include highly efficient document generation, customizable features, and seamless integration with existing Electronic Health Record (EHR) systems. Dragon Copilot is aimed at medical institutions and clinicians, designed to improve the quality and efficiency of healthcare services through technology while reducing operating costs. Product pricing and specific pricing strategies are not explicitly mentioned on the page, but are usually customized based on the size and usage scope of the healthcare institution.

HuatuoGPT-o1-70B is a large language model (LLM) developed by FreedomIntelligence, specifically designed for complex medical reasoning. Before providing a final response, the model generates a detailed thought process that reflects and refines its reasoning. HuatuoGPT-o1-70B can handle intricate medical issues, providing thoughtful answers that are crucial for improving the quality and efficiency of medical decisions. The model is based on the LLaMA-3.1-70B architecture, supports English, and can be deployed on various tools like vllm or Sglang, or used for direct inference.

HuatuoGPT-o1-7B is a large language model (LLM) developed by FreedomIntelligence for the medical domain, specifically designed for advanced medical reasoning. The model generates complex reasoning processes before providing final answers, reflecting and refining its inference. HuatuoGPT-o1-7B supports both Chinese and English, handles complex medical queries, and outputs results in a 'thought-answer' format, which is crucial for improving the transparency and reliability of medical decisions. Based on Qwen2.5-7B, it has been specifically trained to meet the needs of the medical field.

The CHIEF (Clinical Histopathology Imaging Evaluation Foundation) model is a foundational model for cancer diagnosis and prognostic prediction in pathology. It extracts pathology imaging features through two complementary pre-training methods: unsupervised pre-training for tile-level feature identification and weakly supervised pre-training for pattern recognition in whole slides. The CHIEF model has been developed using 60,530 whole slide images (WSIs) covering 19 different anatomical sites, leveraging pre-training on a 44TB high-resolution pathology imaging dataset to extract informative micro-representations useful for cancer cell detection, tumor origin identification, molecular profiling, and prognostic prediction. The model has been validated on 19,491 whole slide images from 32 independent slide sets across 24 international hospitals and cohorts, achieving overall performance improvements of up to 36.1% over state-of-the-art deep learning methods, demonstrating its ability to address domain shift issues observed in varying population samples and slide preparation methods. CHIEF provides a generalizable foundation for efficient digital pathology assessment of cancer patients.

Lingyi Zhihui is an AI healthcare brand powered by Baidu Brain technology, dedicated to the vision of 'Evidence-based AI empowering the health industry.' It leverages its technical platform to develop a series of products including Clinical Decision Support Systems, Retina Image Analysis Systems, comprehensive medical big data solutions, Smart Pre-Diagnosis Assistants, and Chronic Disease Management Platforms, serving both hospital and community settings. It collaborates extensively with hospitals, doctors, HIS vendors, electronic medical record providers, governments, and regulators to standardize and regulate grassroots medical processes, enhance grassroots medical capabilities, reduce medical risks, and control healthcare costs, contributing to the national strategy for Healthy China 2030.

CareIntellect for Oncology is a cloud-based application launched by GE HealthCare that employs generative AI technology to aggregate multimodal patient data from various systems, providing a unified view. The application quickly presents patient histories and disease progress, assisting physicians in determining the next course of treatment and proactive interventions. By integrating both structured and unstructured data (such as medical imaging, medical records, notes, and device readings), it simplifies the summarization of complex medical histories, supports treatment response evaluations, aids in assessing clinical trial eligibility, and tracks adherence to treatment protocols. This product aims to accelerate the adoption of new applications by reducing the high costs and time associated with healthcare providers’ integration of products individually.

Flow Trials is an AI-driven platform that helps patients quickly match and participate in clinical trials. It provides a convenient online environment for researchers and patients to facilitate medical research. The platform features a database of over 20,000 clinical trials, allowing users to filter based on their conditions or locations, engage in studies, and manage their study schedules and progress in their profiles.

Joint Angels is an AI-powered tool that assists clinicians in measuring range of motion and performing movement analysis. It aims to improve efficiency and productivity in clinical practice by streamlining the movement analysis and measurement process. The tool can record and analyze movement data in real-time, helping doctors more accurately assess patients' motor skills and thus provide more effective treatment recommendations.

Neurture is an application designed to help users understand how the brain works and create effective change plans through evidence-based treatment methods. It assists users in breaking habits or dealing with addictive behaviors, and achieving important other goals through digital entries of handwritten journal entries, subsequent journal prompt suggestions, scenario meditations supported by artificial intelligence, and journal recommendations. Neurture emphasizes privacy and trust, does not collect user data, does not run ads, and trains models, aiming to provide users with a safe, stress-free environment for self-improvement.