Best AI tools for< code medical procedures >

Freed is an AI-powered medical scribe that helps clinicians save time and reduce burnout by automating the documentation process. It uses natural language processing to transcribe patient visits, extract relevant information, and generate SOAP notes that are compliant with medical guidelines and best practices. Freed is designed to be user-friendly and integrates seamlessly with popular EHR systems. With Freed, clinicians can focus on providing quality patient care without the burden of administrative tasks.

MediCodio is an AI-powered medical coding assistant that combines automation with medical coders' expertise. It uses advanced technologies such as AI, ML, RPA, and NLP to suggest a list of relevant codes based on patient charts, allowing medical coders to easily select the most appropriate ones after verification. MediCodio also offers MCaaS services to healthcare and RCM companies.

Suki Assistant is an enterprise-grade AI assistant designed to help clinicians save time and focus on patient care. It offers ambient documentation, dictation, ICD-10 and HCC coding, and question answering in one solution. Suki has deep integrations with major EHR systems, ensuring safe and efficient content transfer. The application is trusted by health systems nationwide for its reliability, scalability, and proven ROI. Suki sets the standard for advanced EHR integrations and provides hassle-free partnerships with minimal resource requirements.

Streamlit is an open-source Python library that makes it easy to create and share beautiful and interactive web apps for data science and machine learning. With Streamlit, you can quickly build custom dashboards, data exploration tools, and machine learning models without having to write complex front-end code.

A Call Recorder App is a mobile application that allows users to record phone calls in high quality. It uses Interactive Voice Response (IVR) technology to record calls in the cloud and Best-In-Class ML/AI (machine learning and artificial intelligence) engine to transcribe phone calls into readable text. The app is currently available for (+1) country code, but users can call any country and record phone conversations through the 'Merge And Call' button. Transcription properly works for English, Spanish, and French. The app is simple to use: once downloaded, users receive 60 Credit Minutes. They can then sign up with their phone number, tap the 'Record A Call' button and choose or dial the destination number. If already on a call, they can tap the 'Merge And Record' button on the bottom left. Recorded calls can be played back at any time in the history of recorded calls. Users can also request transcription to transform recorded audio files into readable text documents and share audio and text files through email. Extra minutes can be purchased when needed.

Corti is an AI-powered platform that provides real-time decision support, automates documentation and coding, and improves the productivity of patient encounters. It is used by healthcare professionals to enhance the experience of both healthcare professionals and their patients.

heißdocs is a tool that adds a superfast search layer on top of scanned or digital PDFs. It also has AI-powered Question-Answering capabilities. With heißdocs, you can easily find information in your PDFs without having to sift through thousands of pages. You can also own your data and host it yourself. heißdocs is open source, so you can view the code, make modifications, or request modifications as you like.

Raman Labs provides dedicated modules for computer-vision based tasks. With just 2 lines of code, you can integrate ML functionality into your existing applications without sacrificing any speed. The API is clean and minimalistic, allowing you to integrate any module in just a few lines of code. It is robust to large scale and resolution variations and works on selfie videos and high resolution videos alike. With just Python3 and Numpy, you can run the SDK anywhere from a VPS to a local system. It scales itself with the computing power of your system, allowing you to run it on a powerful CPU/GPU for bigger workloads to reduce latency.

Code Language Converter is an AI-powered tool that allows you to convert code snippets from one programming language to another. Simply paste your code into the converter and select the desired output language. The AI will then generate the converted code, which you can copy and use in your project. Please note that the conversions are not always 100% accurate and should be reviewed by a human before being used in production code.

Code & Pepper is an elite software development company specializing in FinTech and HealthTech. They combine human talent with AI tools to deliver efficient solutions. With a focus on specific technologies like React.js, Node.js, Angular, Ruby on Rails, and React Native, they offer custom software products and dedicated software engineers. Their unique talent identification methodology selects the top 1.6% of candidates for exceptional outcomes. Code & Pepper champions human-AI centaur teams, harmonizing creativity with AI precision for superior results.

Code Snippets AI is an AI-powered code snippets library for teams. It helps developers master their codebase with contextually-rich AI chats, integrated with a secure code snippets library. Developers can build new features, fix bugs, add comments, and understand their codebase with the help of Code Snippets AI. The tool is trusted by the best development teams and helps developers code smarter than ever. With Code Snippets AI, developers can leverage the power of a codebase aware assistant, helping them write clean, performance optimized code. They can also create documentation, refactor, debug and generate code with full codebase context. This helps developers spend more time creating code and less time debugging errors.

The Code Generator for Arduino is an AI-powered tool that allows users to generate code for Arduino boards effortlessly. It leverages GPT-3.5-turbo, OpenAI's language-generation model, to provide accurate and efficient code generation. Users can easily create Arduino code by inputting their requirements and letting the tool do the rest. The website ensures user privacy and compliance with cookie laws. It is not affiliated with Arduino but offers a seamless code generation experience for Arduino enthusiasts.

This tool uses AI to explain any piece of code you don't understand. Simply paste the code in the code editor and press "Explain Code" and AI will output a paragraph explaining what the code is doing.

Code Translator AI is a free online code translator that can translate code between 9 different programming languages. It is powered by GPT-3.5 and GPT-4, the latest and most powerful language models from OpenAI. Code Translator AI is easy to use: simply enter some code into the input field and click the "Translate" button. The translated code will then appear in the output field. Code Translator AI can be used to translate code between any of the following languages: Assembly Language, Bash, C, C#, C++, Clojure, COBOL, CoffeeScript, CSS, Dart, Elixir, Fortran, Go, Groovy, Haskell, HTML, Java, JavaScript, JSX, Julia, Kotlin, Lisp, Lua, Matlab, Natural Language, NoSQL, Objective-C, Pascal, Perl, PHP, PL/SQL, Powershell, Python, R, Racket, Ruby, Rust, SAS, Scala, SQL, Swift, SwiftUI, TSX, TypeScript, Visual Basic .NET, Vue

Code Companion AI is a desktop application powered by OpenAI's ChatGPT, designed to aid by performing a myriad of coding tasks. This application streamlines project management with its chatbot interface that can execute shell commands, generate code, handle database queries and review your existing code. Tasks are as simple as sending a message - you could request creation of a .gitignore file, or deploy an app on AWS, and CodeCompanion.AI does it for you. Simply download CodeCompanion.AI from the website to enjoy all features across various programming languages and platforms.

AI Code Reviewer is a tool that uses artificial intelligence to review code. It can help you find bugs, improve code quality, and enforce coding standards.

Code Language Converter is an AI-powered tool that allows you to convert code from one programming language to another. Simply paste your code snippet into the converter and select the desired output language. The AI will then generate the converted code, which you can download or copy and paste into your project.Code Language Converter is a valuable tool for developers of all levels. It can save you time and effort by automating the code conversion process. Additionally, the converter can help you to learn new programming languages by providing you with a way to see how code is written in different languages.

AI Code Converter is a free online tool that helps developers translate code across 50+ programming languages, including Python, Java, C++, C#, JavaScript, and more. It also offers AI-powered code optimization, explanation, debugging, and assistance features. With AI Code Converter, developers can save time and resources, enhance their development process, and improve the quality of their code.

Toptal provides no-code and low-code development services to help businesses accelerate innovation and streamline operations. With Toptal's expert team, businesses can create tailored software solutions without the need for traditional coding. Toptal's services include no-code and low-code application development, workflow automation and integration, custom database creation, user interface and experience design, and marketing automation.

AI Code Translator is an online tool that allows users to translate code or natural language into multiple programming languages. It is powered by artificial intelligence (AI) and provides intelligent and efficient code translation. With AI Code Translator, developers can save time and effort by quickly converting code between different languages, optimizing their development process.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Recent LLM (Large Language Models)-based CV and multi-modal works.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

The Segment Anything Model (SAM) is a powerful tool that allows users to segment any object in an image with just a few clicks. This makes it a great tool for a variety of tasks, such as object detection, tracking, and editing. SAM is also very easy to use, making it a great option for both beginners and experienced users.

FuseMedML is a Python framework designed to accelerate machine learning-based discovery in the medical field by promoting code reuse. It provides a flexible design concept where data is stored in a nested dictionary, allowing easy handling of multi-modality information. The framework includes components for creating custom models, loss functions, metrics, and data processing operators. Additionally, FuseMedML offers 'batteries included' key components such as fuse.data for data processing, fuse.eval for model evaluation, and fuse.dl for reusable deep learning components. It supports PyTorch and PyTorch Lightning libraries and encourages the creation of domain extensions for specific medical domains.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Apollo is a multilingual medical LLM that covers English, Chinese, French, Hindi, Spanish, Hindi, and Arabic. It is designed to democratize medical AI to 6B people. Apollo has achieved state-of-the-art results on a variety of medical NLP tasks, including question answering, medical dialogue generation, and medical text classification. Apollo is easy to use and can be integrated into a variety of applications, making it a valuable tool for healthcare professionals and researchers.

MING is an open-sourced Chinese medical consultation model fine-tuned based on medical instructions. The main functions of the model are as follows: Medical Q&A: answering medical questions and analyzing cases. Intelligent consultation: giving diagnosis results and suggestions after multiple rounds of consultation.

Nitrain is a framework for medical imaging AI that provides tools for sampling and augmenting medical images, training models on medical imaging datasets, and visualizing model results in a medical imaging context. It supports using pytorch, keras, and tensorflow.

MedicalGPT is a training medical GPT model with ChatGPT training pipeline, implement of Pretraining, Supervised Finetuning, RLHF(Reward Modeling and Reinforcement Learning) and DPO(Direct Preference Optimization).

MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging. It provides a comprehensive set of tools for medical image analysis, including data preprocessing, model training, and evaluation. MONAI is designed to be flexible and easy to use, making it a valuable resource for researchers and developers in the field of medical imaging.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

MOOSE 2.0 is a leaner, meaner, and stronger tool for 3D medical image segmentation. It is built on the principles of data-centric AI and offers a wide range of segmentation models for both clinical and preclinical settings. MOOSE 2.0 is also versatile, allowing users to use it as a command-line tool for batch processing or as a library package for individual processing in Python projects. With its improved speed, accuracy, and flexibility, MOOSE 2.0 is the go-to tool for segmentation tasks.

Awesome LLM plaza is a curated list of awesome LLM papers, projects, and resources. It is updated daily and includes resources from a variety of sources, including huggingface daily papers, twitter, github trending, paper with code, weixin, etc.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

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