Best AI tools for< medical records reviewer >

Tavrn is an AI-powered medical chronology solution designed specifically for attorneys. It uses advanced technology to process medical records quickly and accurately, providing attorneys with highly organized and indexed chronologies in as little as 1 hour. Tavrn's platform is secure and compliant, and it offers a range of features to help attorneys streamline their workflow and reduce costs.

Wisedocs is an AI-powered platform that specializes in medical record reviews, summaries, and insights for claims processing. The platform offers intelligent features such as medical chronologies, workflows, deduplication, intelligent OCR, and insights summaries. Wisedocs streamlines the process of reviewing medical records for insurance, legal, and independent medical evaluation firms, providing speed, accuracy, and efficiency in claims processing. The platform automates tasks that were previously laborious and error-prone, making it a valuable tool for industries dealing with complex medical records.

Sunoh is a medical AI scribe that uses ambient listening technology to convert natural conversations between healthcare providers and patients into clinical documentation. It offers a unique and immersive experience for both doctors and patients, making the documentation of clinical notes faster and more efficient than ever before. Sunoh can be used with your EHR to accelerate your documentation.

Lyrebird Health is an AI-powered medical scribe that automates documentation tasks for healthcare providers. It uses natural language processing (NLP) to listen in on patient encounters and generate accurate, medico-legally compliant notes, letters, and assessments. Lyrebird Health is designed to save clinicians time and reduce burnout, allowing them to focus on providing better care to their patients.

meiua is an advanced technological solution designed specifically for healthcare professionals. Powered by cutting-edge artificial intelligence, it optimizes the drafting of medical records, freeing up time spent with patients. The platform listens, learns, and writes all your medical documentation, ensuring precise and effortless documentation. meiua offers features such as automatic recording of exchanges between you and your patients, customization of note templates, and generation of personalized summaries in less than a minute. It prioritizes data security and responsible AI use, aiming to enhance healthcare efficiency and provide personalized attention to each patient.

Augmedix is a leading provider of AI-powered medical documentation solutions for healthcare systems, physician practices, and hospitals. Its products, including Augmedix Go, Augmedix Live, Augmedix Go Assist, and Augmedix Prep, leverage ambient AI technology to convert natural clinician-patient conversations into structured medical notes in real time. Augmedix aims to enhance the clinician-patient relationship by reducing documentation burden, improving productivity, and increasing patient satisfaction.

AKASA is a healthcare revenue cycle management company that uses generative AI (GenAI) to improve the revenue cycle for healthcare providers. AKASA's GenAI-powered platform and solutions help healthcare providers reduce denials, improve margins, and increase revenue. AKASA's platform includes solutions for authorization management, claim status, and claim attachment. AKASA's GenAI is trained on clinical and financial data and is optimized for healthcare. AKASA's clients include over 475 hospitals and 6,500 outpatient facilities across all 50 states.

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.

CompliantChatGPT is a HIPAA-compliant platform that allows users to utilize OpenAI's GPT models for healthcare-related tasks while maintaining data privacy and security. It anonymizes protected health information (PHI) by replacing it with tokens, ensuring compliance with HIPAA regulations. The platform offers various modes tailored to specific healthcare needs, including bloodwork analysis, PHI anonymization, diagnosis assistance, and treatment planning. CompliantChatGPT streamlines healthcare tasks, enhances productivity, and provides user-friendly assistance through its intuitive interface.

Sully.ai is the #1 all-in-one AI solution designed to save doctors' time by creating superhuman doctors. The platform offers a comprehensive set of features such as pre-visit screening, decision support, scribing, diagnosis assistance, clinical planning, and post-visit automations. Sully.ai is an automation platform that works seamlessly with Electronic Medical Records (EMR) systems, providing personalized and multilingual support for healthcare professionals. The AI model is HIPAA compliant and trained on real-life doctor encounters to enhance decision-making and streamline administrative tasks. With proven results in reducing repetitive tasks and improving efficiency, Sully.ai aims to transform healthcare delivery by empowering doctors to focus on patient care.

SOAPME.AI is an AI-powered SAAS application that helps clinicians generate accurate and efficient SOAP notes from patient conversations. With its HIPAA-compliant technology, SOAPME ensures fast and secure note-taking, allowing clinicians to focus more on patient care and reduce administrative burden.

A Call Recorder App is a mobile application that allows users to record phone calls on iPhone and Android devices with the best possible quality. It offers features such as recording regular phone calls, transforming audio files into readable text documents, and providing timestamped transcriptions. The app is user-friendly, with simple pricing and billing, and is available for both Apple and Android phones.

PMcardio is an AI-powered ECG interpretation platform that offers accurate diagnosis of cardiovascular diseases within seconds. It provides healthcare professionals with instant cardiovascular diagnostics, reliable ECG interpretation using AI, and standardized ECG reports. The platform aims to ensure a uniform standard of diagnostic expertise across hospitals, enabling rapid referral to cardiovascular specialists. PMcardio also offers features such as digitizing ECG records for improved readability and sharing, enhancing clinical decision-making, and providing precise identification of occlusion myocardial infarction in patients. With a focus on quality care and efficiency, PMcardio is a valuable tool in the field of cardiology.

NPI Lookup is an AI-powered platform that offers advanced search and validation services for National Provider Identifiers (NPI) in the United States healthcare system. The tool utilizes cutting-edge artificial intelligence technology, including Natural Language Processing (NLP) algorithms and GPT models, to provide comprehensive insights and answers related to NPI profiles. Users can easily search and validate NPI records of doctors, hospitals, and other healthcare providers using everyday language queries, eliminating the need for manual searches. The platform ensures real-time updates and synchronization with the latest NPPES NPI database, offering accurate and up-to-date information for informed decision-making in the healthcare industry.

Regard is an AI-powered healthcare solution that automates clinical tasks, making it easier for clinicians to focus on patient care. It integrates with the EHR to analyze patient records and provide insights that can help improve diagnosis and treatment. Regard has been shown to improve hospital finances, patient safety, and physician happiness.

TORTUS is an AI application designed for doctors and clinicians, offering an AI interface for Electronic Health Records (EHR). It aims to provide faster, better, and kinder care by automating tasks such as record transcription, note generation, and clinical coding. The application is fully compliant with healthcare regulations and prioritizes data security. O.S.L.E.R. is positioned as a digital worker for digital work, enhancing patient outcomes and relieving clinician burnout through clinician-AI co-working.

MedWhat is a virtual medical assistant that uses artificial intelligence to answer medical and health questions for consumers and doctors instantly. The answers are provided by an intelligent supercomputer that learns about medicine every day and over time about your health record and medical questions history. MedWhat is a powerful tool in the medical field because it learns by doing, getting better at its tasks over time by crunching more medical information.

Wave is an AI Note Taker application designed for iOS that offers seamless recording, transcription, and summarization of audio content. It leverages AI technology to transcribe and summarize recorded audio and phone calls in any language. Wave is a valuable tool for capturing and understanding critical information on the go, making it easier to remember important details from meetings, lectures, or any spoken content.

Medvise is an AI-powered medical scribe and coding engine designed to streamline administrative tasks in the medical field. By leveraging advanced technologies such as AI analysis and support, real-time scribe capabilities, and automated data entry, Medvise aims to enhance accuracy, efficiency, and revenue generation in healthcare practices. The platform offers comprehensive documentation, compliance monitoring, and seamless integration with existing Electronic Health Record (EHR) systems, empowering healthcare providers to focus on patient care while ensuring billing accuracy and regulatory compliance.

proudP is an AI-powered ally for at-home prostate health monitoring. It helps users track their prostate health through discreet and convenient monitoring, providing insights for informed discussions with healthcare professionals. The app offers features such as private and convenient home monitoring, sharing results with doctors, self-tracking with trends, voiding diary with fluid intake, and has conducted over 400,000 home uroflow tests to date. Endorsed by urologists, proudP aims to empower users to take control of their health journey and live life on their terms.

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)

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, ,'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in less than 3 words,Verb + noun form,in daily spoken language,in lowercase letters).Answer in english languagesname:Awesome-Chinese-LLM readme:# Awesome Chinese LLM   An Awesome Collection for LLM in Chinese 收集和梳理中文LLM相关    自ChatGPT为代表的大语言模型（Large Language Model, LLM）出现以后，由于其惊人的类通用人工智能（AGI）的能力，掀起了新一轮自然语言处理领域的研究和应用的浪潮。尤其是以ChatGLM、LLaMA等平民玩家都能跑起来的较小规模的LLM开源之后，业界涌现了非常多基于LLM的二次微调或应用的案例。本项目旨在收集和梳理中文LLM相关的开源模型、应用、数据集及教程等资料，目前收录的资源已达100+个！ 如果本项目能给您带来一点点帮助，麻烦点个⭐️吧～ 同时也欢迎大家贡献本项目未收录的开源模型、应用、数据集等。提供新的仓库信息请发起PR，并按照本项目的格式提供仓库链接、star数，简介等相关信息，感谢~

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.

The repository 'LLM-for-Healthcare' provides a comprehensive survey of large language models (LLMs) for healthcare, covering data, technology, applications, and accountability and ethics. It includes information on various LLM models, training data, evaluation methods, and computation costs. The repository also discusses tasks such as NER, text classification, question answering, dialogue systems, and generation of medical reports from images in the healthcare domain.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

This repository, Awesome-LLM-RAG, aims to record advanced papers on Retrieval Augmented Generation (RAG) in Large Language Models (LLMs). It serves as a resource hub for researchers interested in promoting their work related to LLM RAG by updating paper information through pull requests. The repository covers various topics such as workshops, tutorials, papers, surveys, benchmarks, retrieval-enhanced LLMs, RAG instruction tuning, RAG in-context learning, RAG embeddings, RAG simulators, RAG search, RAG long-text and memory, RAG evaluation, RAG optimization, and RAG applications.

This repository, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

TotalSegmentator is a 3D Slicer extension designed for fully automatic whole body CT segmentation using the 'TotalSegmentator' AI model. The computation time is less than one minute, making it efficient for research purposes. Users can set up GPU acceleration for faster segmentation. The tool provides a user-friendly interface for loading CT images, creating segmentations, and displaying results in 3D. Troubleshooting steps are available for common issues such as failed computation, GPU errors, and inaccurate segmentations. Contributions to the extension are welcome, following 3D Slicer contribution guidelines.

org-ai is a minor mode for Emacs org-mode that provides access to generative AI models, including OpenAI API (ChatGPT, DALL-E, other text models) and Stable Diffusion. Users can use ChatGPT to generate text, have speech input and output interactions with AI, generate images and image variations using Stable Diffusion or DALL-E, and use various commands outside org-mode for prompting using selected text or multiple files. The tool supports syntax highlighting in AI blocks, auto-fill paragraphs on insertion, and offers block options for ChatGPT, DALL-E, and other text models. Users can also generate image variations, use global commands, and benefit from Noweb support for named source blocks.

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.

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.

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.

AI assistant for creating detailed discharge summaries

Assists with pet emergencies using photo sharing for web-based solutions.

Leading in Smart Healthcare AI, Powered by OpenAI

Basiert auf dem offiziellen Impfplan Österreich 2023/24

Deciphers medical news, explaining complex terms in simple English and Japanese

Expert in medical imaging AI, adept in machine learning tools.

Helps explain medical consents

Friendly, conversational tone for medical acronyms.

Expert in NFPA 99-2018 for medical gas system compliance and guidance.

Expert in Medical Supplies and Medicare Guidelines

Guide on medical equipment, ailment-based recommendations & image analysis

A guide for aspiring med students, aiding in interviews, MCAT prep, and application advice.

Expert Medical Technologist offering tailored consultations

Informative guide on medical devices and healthcare technology.

Describe your medical signs and symptoms. Optionally also list any applicable known lab test results. Further lab tests will be recommended. Any web searches may be requested explicitly. Extra tests by these providers may also be requested explicitly: QuestHealth, WalkInLab, RadiologyAssist

Your guide to all things DME

An expert on EMT roles, emergency services, and training, with a medical tone.

Your guide to recovery and rehabilitation

Expert in HIPAA compliance for medical supplies

Your ally in overcoming addiction, offering wisdom, motivation, and personalized support.