Best AI tools for< Generate Clinical Documentation >

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.

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.

AiSOAP is a cutting-edge AI medical scribe application that revolutionizes the process of creating SOAP notes for healthcare professionals. It records, transcribes, and generates customized SOAP notes, significantly reducing documentation time by up to 95%. AiSOAP offers a seamless integration with EHR/EMR systems, allowing clinicians to focus more on providing compassionate care to patients or reclaiming their time for personal activities.

Everbility is an AI-powered clinical documentation tool designed for Allied Health Professionals. It helps in writing reports, synthesizing client notes, brainstorming ideas, and focusing on client care. The tool saves time by generating progress notes, letters, and assessment reports, while ensuring data privacy and compliance with regulations like HIPAA and Australian Privacy Principles.

AutoNotes is a leading healthcare AI Progress Note tool that offers AI-powered clinical documentation templates for generating SOAP Notes, DAP Notes, Treatment Plans, and more. It provides a user-friendly interface for therapists and healthcare professionals to create detailed and customizable clinical notes efficiently. With features like summarizing sessions, editing and downloading notes, and simple pricing plans, AutoNotes aims to streamline the documentation process in healthcare settings. The platform also offers advanced features like template customization, secure document storage, and dictation for voice-to-text conversion. Users can benefit from the platform's customization options, seamless integration with workflows, and responsive customer support.

Astra Health is a leading multilingual AI scribe for clinicians, empowering healthcare providers with a medical notes creation solution that uses generative AI to draft notes, transcribe conversations in real-time, and automate clinical documentation. The application supports 35 languages, offers ambient listening mode, instant notes generation, custom templates creation, and voice-controlled assistant for managing clinical documentation. Astra Health prioritizes ethical and safe practices, ensuring data security and compliance with privacy regulations.

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.

MDHub is a clinical AI assistant designed to support behavioral health clinicians in their practice. It offers a user-friendly interface for seamless integration into workflows, time-saving features like instant audio transformation for charting, and personalized treatment plan recommendations. The application aims to enhance patient care by automating documentation tasks and improving efficiency in mental health practices.

DeepScribe is an AI medical scribe application that leverages advanced speech recognition technology to capture clinical conversations with extreme accuracy. It empowers clinicians and health systems with real-time AI insights, offers customization options to match provider workflows, and ensures trust and safety through features that promote AI transparency. DeepScribe is designed to save time, improve accuracy, drive adoption, and maximize revenue for doctors, hospitals, and health systems. The application is built for enterprise use, allowing users to unlock the power of AI and modernize their patient data strategy.

S10.AI is an AI-powered medical scribe application designed to streamline medical documentation processes for healthcare professionals. It offers seamless integration with any EMR system, providing accurate and efficient transcription of patient conversations. The application saves time, ensures confidentiality, and adapts to various medical templates and workflows. S10.AI is praised for its precision, efficiency, and support, making it a valuable asset for practitioners looking to enhance administrative tasks without compromising patient care.

Heidi is an AI-powered medical scribe that helps clinicians save time and improve patient care. It uses natural language processing to capture every detail of a patient visit, and then automatically generates a note that is tailored to the clinician's preferences. Heidi can also be used to create letters, add billing codes, and generate patient summaries. It is trusted by clinicians and healthcare staff in over 35 countries.

Insight is an AI-powered medical research tool that serves as a research assistant for generating scientific summaries, hypotheses, experimental designs, and target identification. It empowers scientists to navigate literature, formulate hypotheses, and design experiments by utilizing peer-reviewed databases to provide reliable outputs. With integrated features like NIH PubMed access, NIH Reporter insights, and MYGENE & MYVARIANT deep dives, Insight streamlines the research process and accelerates discoveries in the medical field.

Neural Consult is a cutting-edge AI-powered medical education platform that offers personalized learning tools to empower medical students. The platform provides unlimited board questions, Anki cards, clinical simulations, and more, tailored to individual study needs. With features like question generation, lecture summaries, differential diagnosis, and AI-powered case simulations, Neural Consult revolutionizes the way medical students learn and prepare for exams. Trusted by students at top medical schools, Neural Consult aims to enhance clinical reasoning, memorization skills, and overall learning efficiency through innovative AI technology.

Oatmeal Health is an AI-enabled cancer screening and clinical trials platform designed to support Community Health Centers and improve patient outcomes. By seamlessly integrating AI technology with dedicated virtual care teams, Oatmeal Health facilitates evidence-based cancer screenings, care navigation, and diagnostic screenings to enhance value-based revenue and quality metrics. The platform aims to prevent late-stage cancer by providing early diagnosis and personalized risk assessments, ultimately saving lives and reducing the overall cost of cancer care.

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.

DrugCard is an AI-enabled Data Intelligence platform designed to streamline drug safety routines by providing continuous and regular, traceable, transparent, accurate, complete, and scalable solutions for pharmacovigilance processes. The platform supports over 100 languages, monitors 1000+ local journals, and saves up to 70% of time compared to manual approaches. DrugCard caters to CROs, MAHs, and freelancers, offering efficient local literature screening services to ensure compliance with regulatory requirements and enhance productivity.

Yseop offers Natural Language Generation (NLG) services that automate and translate data into actionable language, simplifying complex workflows. Its AI-based technologies generate core elements of specialist medical reports, including clinical study reports (CSR), patient narratives, and more. Yseop also automates the writing of financial reports, removing the risk of error in manual writing to ensure accuracy, consistency, and compliance. Additionally, Yseop provides bespoke NLG applications tailored to specific needs, helping streamline operations and empower workers with tailored information and insights.

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.

Medical Brain is an AI-powered clinical assistant designed for both patients and providers. It engages with users to identify health risks and care gaps early, providing actionable insights and guidance to improve outcomes and intercept high-cost ER visits. The platform monitors patients 24/7, aggregates and understands all patient data, and generates real-time actions based on AI clinical decision support and automation. Medical Brain incorporates evidence-based best practices in various clinical modules and continuously learns from user experiences to enhance efficiency and intelligence.

Generate is an experiment to generate data from LLM. It is now deprecated.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

Me LLaMA introduces a suite of open-source medical Large Language Models (LLMs), including Me LLaMA 13B/70B and their chat-enhanced versions. Developed through innovative continual pre-training and instruction tuning, these models leverage a vast medical corpus comprising PubMed papers, medical guidelines, and general domain data. Me LLaMA sets new benchmarks on medical reasoning tasks, making it a significant asset for medical NLP applications and research. The models are intended for computational linguistics and medical research, not for clinical decision-making without validation and regulatory approval.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

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.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

This repository focuses on exploring tools that enhance the performance of language models for various tasks. It provides a structured list of literature relevant to tool-augmented language models, covering topics such as tool basics, tool use paradigm, scenarios, advanced methods, and evaluation. The repository includes papers, preprints, and books that discuss the use of tools in conjunction with language models for tasks like reasoning, question answering, mathematical calculations, accessing knowledge, interacting with the world, and handling non-textual modalities.

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.

BasicLingua is a Python library that provides functionalities for linguistic tasks such as tokenization, stemming, lemmatization, and many others. It is based on the Gemini Language Model, which has demonstrated promising results in dealing with text data. BasicLingua can be used as an API or through a web demo. It is available under the MIT license and can be used in various projects.

Nuitrack™ is an ultimate 3D body tracking solution developed by 3DiVi Inc. It enables body motion analytics applications for virtually any widespread depth sensors and hardware platforms, supporting a wide range of applications from real-time gesture recognition on embedded platforms to large-scale multisensor analytical systems. Nuitrack provides highly-sophisticated 3D skeletal tracking, basic facial analysis, hand tracking, and gesture recognition APIs for UI control. It offers two skeletal tracking engines: classical for embedded hardware and AI for complex poses, providing a human-centric spatial understanding tool for natural and intelligent user engagement.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

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.

ChemicalQDevice innovates new LLM/LLM agent pharmaceutical industry applications regarding cancer drug cost containment, clinical decision support, cancer signaling pathways, bioprocess engineering, biosynthesis, characterization, or drug synthesis. OpenAI, Anthropic, Gemini, or xAI direct chat proprietary software are utilized to generate LLM reports and propose detailed solutions. AI governance is employed with relevant software implementations, model bias amplification mitigation, and generation traceability analyses.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

Voice-to-text, Vision-to-text transcription, Transcript-to-‘Clinical format’ integrated with CDS. Writes clinical notes, referral letter, generate PDF,prepare discharge summary. (Ultimate aid for clinicians)

Eyecare Clinical Assistant

An academic assistant for psychiatrists, creating educational content and practice questions. (Not for use in clinical decision making, verify all information, as model may produce errors)

Engaging, precise assistant for medical professionals.

私と製薬ネタで遊びましょう【注意】私のアウトプットはフィクションです。実在の人物や団体などとは関係ありません。

Regenerative medicine virtual assistant 'Regen'.

A Medical Research Assistant Chatbot

Especialista em dados de pós-graduação em Fisiologia

Explores emerging trends and innovations in medicine.

Rapid, precise medical research expert in orthopaedics.

Generates Angular components based on requirements, with a focus on code-first responses.

Transforms lines into detailed prompts for visual storytelling.

Discover how your writing can shine with a unique and human style. This prompt guides you to create rich and varied texts, surprising with original twists and maintaining coherence and originality. Transform your writing and challenge AI detection tools!

Generate captions for your image and choose the vibe you like.

I generate top 10 PLG strategies in a table format

I generate viral GPT ideas based on your inputs.

Generate your eslint rule

I generate witty trash talk for fantasy football leagues.

Generate dreamy landscapes with silhouette persons

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