Medical Chat is a cutting-edge AI chatbot tailored for healthcare professionals to deliver prompt and precise responses to intricate medical inquiries. It stands as an indispensable resource for doctors, nurses, and veterinarians, offering detailed insights into medical conditions, treatments, and medication for both humans and animals. Key highlights include its comprehensive drug database, specialized veterinary support, and a sophisticated AI model trained for deep medical knowledge. This tool streamlines access to medical information, significantly enhancing the efficiency of healthcare practice. Furthermore, it supports medical research, patient education, and emphasizes the necessity of professional consultation. With its capability to cite credible professional sources, Medical Chat distinguishes itself by maintaining the integrity and credibility of its information, making it an exceptional assistant in the fast-paced medical field.
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Based on our record, Keras seems to be a lot more popular than Medical Chat. While we know about 32 links to Keras, we've tracked only 2 mentions of Medical Chat. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 19 days ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 2 months ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 3 months ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / about 1 year ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
I’d like to share a medical question-answering API which has state-of-the-art performance on the USMLE self-assessment exam. You can try out Medical Chat here [https://medical.chat-data.com/chat]. We also provide the end-to-end medical chat deployment and API service through (Chat Data)[https://www.chat-data.com/] So. what's the selling point of (Medical Chat)[https://medical.chat-data.com] because the either Gemi... - Source: Hacker News / 3 months ago
Medical Chat [https://medical.chat-data.com/] (has chat, requires sign-up). Source: about 1 year ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
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