Best AI tools for< Answer Medical Queries >

Suki Assistant is an enterprise-grade AI assistant designed to help clinicians save time by providing ambient documentation, dictation, ICD-10 and HCC coding, and answering questions in one solution. It offers deep EHR integrations with all major EHRs, ensuring safe AI practices, hassle-free partnership, proven ROI, and advanced EHR integrations. Suki is trusted by health systems across the country for its reliability, scalability, and convenience in clinical documentation.

Bot MD is an AI clinical assistant application that provides instant hospital information search, automates patient monitoring and care, and integrates with a wide range of hospital systems. It is used by thousands of doctors and nurses worldwide to streamline workflows, improve patient care, and enhance communication. The AI chat assistant helps healthcare professionals access clinical information quickly and efficiently, saving time and improving patient outcomes.

NPI Lookup is an AI-powered platform that offers advanced search and validation services for National Provider Identifier (NPI) numbers of healthcare providers in the United States. The tool uses cutting-edge artificial intelligence technology, including Natural Language Processing (NLP) algorithms and GPT models, to provide comprehensive insights and answers related to NPI profiles. It allows users to search and validate NPI records of doctors, hospitals, and other healthcare providers using everyday language queries, ensuring accurate and up-to-date information from the NPPES NPI database.

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.

LITFL (Life in the Fast Lane) is a website that provides free medical education resources, including articles, videos, podcasts, and infographics. The site is run by a team of doctors and other healthcare professionals who are passionate about sharing their knowledge and expertise with the world. LITFL has been featured in numerous publications, including The New York Times, The Guardian, and The Wall Street Journal.

Butterfly iQ3 is a handheld, whole-body ultrasound device that provides clear and detailed images for a variety of medical applications. It is the third-generation probe from Butterfly Network, and it features double the processing power and clearer images than its predecessors. Butterfly iQ3 is also equipped with real-time AI, which can help clinicians to identify and diagnose medical conditions more quickly and accurately. The device is lightweight and portable, making it easy to use in a variety of settings, including the clinic, the hospital, and the field. Butterfly iQ3 is a valuable tool for clinicians who want to improve the quality of care they provide to their patients.

BioloGPT is an AI tool designed to answer biology-related questions with insights and graphs. It provides information on various topics such as maintaining a healthy gut microbiome, foods for a healthy immune system, effects of cannabis on the brain, risks of Covid-19 vaccines, and advancements in psoriasis treatment. The tool is updated daily and cites full papers to support its answers.

Ubie is a medical AI tool that offers a symptom checker and helps users find possible causes for their symptoms. Developed by doctors, Ubie's AI-powered system generates personalized reports on potential causes based on a 3-minute questionnaire. The platform considers personal information such as biological sex, age, and medical history to provide relevant suggestions. Ubie aims to assist users in understanding their symptoms, knowing when to seek medical help, and accessing treatment information. The tool is designed to be user-friendly, informative, and a valuable resource for individuals seeking medical insights.

Mendel AI is an advanced clinical AI tool that deciphers clinical data with clinician-like logic. It offers a fully integrated suite of clinical-specific data processing products, combining OCR, de-identification, and clinical reasoning to interpret medical records. Users can ask questions in plain English and receive accurate answers from health records in seconds. Mendel's technology goes beyond traditional AI by understanding patient-level data and ensuring consistency and explainability of results in healthcare.

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.

AI for Work is a website that provides a collection of ChatGPT prompts and resources designed specifically for professionals. With over 2000 advanced prompts, the website aims to help users leverage the power of ChatGPT to enhance their productivity and achieve their work goals. The website offers a variety of prompts tailored to different departments and industries, including medical, sales, marketing, executive management, public relations, administrative, religious services, retail, finance, real estate, personal development, customer service, customer success, engineering, legal, education, media and communications, information technology, human resources, and entrepreneurship. AI for Work also provides helpful resources such as custom GPTs and a newsletter to keep users updated on the latest advancements in AI.

Medical Chat is an advanced AI assistant designed for healthcare professionals, providing instant and accurate medical answers for both human and veterinary medicine. Its capabilities include diagnosing medical conditions, generating differential diagnosis reports, creating patient-specific clinic plans, and offering comprehensive drug information. Medical Chat utilizes the latest LLM models, including ChatGPT 3.5 and 4.0, to deliver reliable and up-to-date medical knowledge. The platform also features a vast database of professional medical textbooks, veterinary books, and PubMed articles, ensuring evidence-based responses. With its HIPAA compliance and commitment to data privacy, Medical Chat empowers healthcare providers to enhance their diagnostic capabilities and improve patient outcomes.

MediSearch is an AI-powered application that provides direct science-based answers to medical questions. Users can filter questions based on their complexity level and receive detailed information on various health topics. The application aims to assist individuals in understanding medical information and making informed decisions about their health. It is important to note that MediSearch is not a substitute for a medical professional and users should consult healthcare providers for personalized medical advice.

PodAI is an AI tool designed to extract answers from every podcast episode in seconds. It is a prototype currently being developed to enhance search results and fine-tune the LLM output. PodAI is not affiliated with the Huberman Lab Podcast and is solely for entertainment purposes, not for medical advice.

SexpertAI is an AI-powered chatbot that provides comprehensive and accurate information on sexual health and relationships. It is designed to help users make informed decisions about their sexual health and well-being. SexpertAI is trained on a massive dataset of sexual health information, including medical research, clinical guidelines, and expert opinions. This allows it to provide users with up-to-date and evidence-based information on a wide range of sexual health topics, including STIs, contraception, pregnancy, and sexual dysfunction.

Interview.study is an AI-powered interview preparation platform that helps candidates practice real interview questions asked by top companies. The platform provides users with instant feedback on their responses, helping them identify areas for improvement and develop stronger answers. Interview.study also offers a variety of features to help candidates prepare for their interviews, including a database of interview questions, a mock interview tool, and a resume builder.

Quetab is a modern AI-driven platform designed to boost productivity, enhance skill sets, and facilitate learning through advanced technology. Users can create flashcards, generate questions, summarize text, and more with the help of AI tools. The platform offers a range of study sets, including US Citizenship Test Questions, Medical Terms Translation, and English Vocabulary Questions. Quetab aims to revolutionize learning efficiency and content creation by leveraging AI-powered solutions.

August is a personal AI health assistant designed to provide direct answers to health questions, analyze lab reports and images, offer medical suggestions, and proactively check in on users' health. It aims to save time and reduce anxiety by providing tailored health information. August is not a replacement for medical advice but complements healthcare professionals' guidance. The platform prioritizes user privacy and data security, offering features like personalized nutritional planning, visual symptom checker, and medication/workout reminders.

Yesil Health is an AI Health Assistant application that provides evidence-based answers to health questions. Users can chat for free to receive personalized health information, analyze health PDFs, and get accurate explanations based on the latest medical research. The application learns about users with each question, building a personalized health profile. Yesil Health is backed by innovative AI technology and aims to enhance individuals' well-being through data-driven insights for a healthier lifestyle.

August is a free-to-use health AI available on WhatsApp. It provides direct answers to health questions, helps with mental health issues, creates personalized nutrition and fitness plans, and offers proactive support. August is designed to be a comprehensive health companion, available 24/7.

CareGPT is a medical large language model (LLM) that explores medical data, training, and deployment related research work. It integrates resources, open-source models, rich data, and efficient deployment methods. It supports various medical tasks, including patient diagnosis, medical dialogue, and medical knowledge integration. The model has been fine-tuned on diverse medical datasets to enhance its performance in the healthcare domain.

HuatuoGPT2 is an innovative domain-adapted medical large language model that excels in medical knowledge and dialogue proficiency. It showcases state-of-the-art performance in various medical benchmarks, surpassing GPT-4 in expert evaluations and fresh medical licensing exams. The open-source release includes HuatuoGPT2 models in 7B, 13B, and 34B versions, training code for one-stage adaptation, partial pre-training and fine-tuning instructions, and evaluation methods for medical response capabilities and professional pharmacist exams. The tool aims to enhance LLM capabilities in the Chinese medical field through open-source principles.

IvyGPT is a medical large language model that aims to generate the most realistic doctor consultation effects. It has been fine-tuned on high-quality medical Q&A data and trained using human feedback reinforcement learning. The project features full-process training on medical Q&A LLM, multiple fine-tuning methods support, efficient dataset creation tools, and a dataset of over 300,000 high-quality doctor-patient dialogues for training.

The 'END TO END GENERATIVE AI PROJECTS' repository is a collection of awesome industry projects utilizing Large Language Models (LLM) for various tasks such as chat applications with PDFs, image to speech generation, video transcribing and summarizing, resume tracking, text to SQL conversion, invoice extraction, medical chatbot, financial stock analysis, and more. The projects showcase the deployment of LLM models like Google Gemini Pro, HuggingFace Models, OpenAI GPT, and technologies such as Langchain, Streamlit, LLaMA2, LLaMAindex, and more. The repository aims to provide end-to-end solutions for different AI applications.

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)

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.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

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.

The LLM RAG Workshop repository provides a workshop on using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to generate and understand text in a human-like manner. It includes instructions on setting up the environment, indexing Zoomcamp FAQ documents, creating a Q&A system, and using OpenAI for generation based on retrieved information. The repository focuses on enhancing language model responses with retrieved information from external sources, such as document databases or search engines, to improve factual accuracy and relevance of generated text.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

This repository focuses on unraveling the sources that large language models tap into for attribution or citation. It delves into the origins of facts, their utilization by the models, the efficacy of attribution methodologies, and challenges tied to ambiguous knowledge reservoirs, biases, and pitfalls of excessive attribution.

Quiz Generator is a plugin for Obsidian that uses AI models to create interactive exam-style questions from notes. It supports various question types and provides real-time feedback. Users can save questions, generate in multiple languages, and use math support. The tool is suitable for students preparing for exams and educators designing assessments.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

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.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

Healthcare system assistant

Offering medical advice based on symptoms and test results described by users

Expert in providing detailed information about Temedica.

医疗分析与健康建议助手

You are a virtual general practitioner who makes a basic diagnosis based on the consultant's description and gives advice on treatment and how to prevent such diseases.

informative chatbot on Pneumonia Treatment and Prevention.

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

Friendly, conversational tone for medical acronyms.

Expert Medical Technologist offering tailored consultations

A Medical Research Assistant Chatbot

Expert in Medical Communications

Analyzes medical and X-ray reports, underlines need for professional advice.

Assistant for doctors in diagnosis, treatment planning, and medical research.

Medical Students and Residents: Get a differential diagnosis in seconds!

Su Médico personal. Su Cita Médica 24/7 Analizo Examenes Médicos y de Laboratorio!

Your go-to assistant for ICD-11 and related web searches

Explores emerging trends and innovations in medicine.

Answer anything about SELECT trial

Helps explain medical consents

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