Best AI tools for< Find Medical Equipment >

Rapid Claims AI is an autonomous medical coding and documentation solution powered by AI technology. It aims to streamline medical coding operations, reduce administrative costs, improve reimbursements, and ensure compliance for healthcare providers. The platform offers features like automated coding, personalized solutions, actionable insights, and customizable AI rule sets. Rapid Claims AI is designed to seamlessly integrate into existing workflows, catering to various healthcare setups and specialties. The application prioritizes security and privacy, with data encryption and secure cloud storage. It serves as a valuable tool for enhancing revenue cycle management processes in the healthcare industry.

MedicHire is an AI-powered job search engine focused on medical and healthcare professions. It leverages machine learning to provide a comprehensive platform for job seekers and employers in the healthcare industry. The website offers a unique Web Story format for job listings, combining storytelling and technology to enhance the job discovery experience. MedicHire aims to simplify healthcare hiring by automating the recruitment process and connecting top talent with leading healthcare companies.

MediSearch is an AI-powered application that provides direct science-based answers to medical questions. Users can filter their search queries and start with common questions before diving deeper into more complex medical inquiries. The application is designed to offer reliable information and insights on various health-related topics, serving as a valuable resource for individuals seeking accurate medical information. MediSearch emphasizes that it is not a substitute for consulting a medical professional and operates within the framework of its Terms of Use.

SOMA is a Research Automation Platform that accelerates medical innovation by providing up to 100x speedup through process automation. The platform collates and analyzes medical research articles, extracting important concepts and identifying causal and associative relationships between them. It organizes this information into a specialized database forming a knowledge graph. Researchers can retrieve causal chains, access specific research articles, and build pipelines for tasks like article search, concept analysis, drug repurposing, and target discovery. SOMA enhances literature review by finding relevant articles based on causal chains and keywords, enabling users to uncover hidden connections efficiently. The platform is freemium, offering basic functionality for free with the option to subscribe for advanced features.

SymptomChecker.io is an AI-powered medical symptom checker that allows users to describe their symptoms in their own words and receive non-reviewed AI-generated responses. It is important to note that this tool is not intended to offer medical advice, diagnosis, or treatment and should not be used as a substitute for professional medical advice. In the case of a medical emergency, please contact your physician or dial 911 immediately.

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.

Ubie is a medical AI application 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 health issues based on a user's symptoms and personal information. The application aims to provide quick and accurate health information to users, guiding them on when to see a doctor, what might be causing their symptoms, and treatment information. Ubie values quality and safety, continuously improving its AI in collaboration with medical professionals worldwide.

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.

MeddiPop is an AI-powered platform that seamlessly connects patients with medical practices in various industries such as plastic surgery, dermatology, cosmetic dentistry, and ophthalmology. The application streamlines the process by allowing patients to submit their requirements, which are then matched with the most suitable practice using advanced AI algorithms. MeddiPop aims to revolutionize healthcare by providing a user-friendly interface for patients to find trusted healthcare providers and book appointments effortlessly.

Dr.Oracle is a personal AI research assistant that helps you find and understand the latest research in your field. With Dr.Oracle, you can search for research papers, track your favorite authors, and get personalized recommendations for new research. Dr.Oracle is the perfect tool for students, researchers, and anyone who wants to stay up-to-date on the latest research in their field.

Sphere is an AI-driven platform that simplifies healthcare navigation by helping users understand their symptoms, find the right healthcare provider, book appointments, and manage insurance and payments seamlessly. It offers a transparent experience where users can share symptoms, medical history, availability, and insurance details to receive personalized healthcare recommendations. Sphere's AI Medical Specialist guides users through their healthcare journey, providing essential information and matching them with suitable specialists. The platform prioritizes privacy and security, using advanced encryption methods to protect users' personal and medical information.

Buoy Health is an AI-powered symptom checker and health information platform. It provides users with personalized health information and guidance based on their symptoms and medical history. Buoy Health's AI technology helps users to identify potential health issues and find the right care options. The platform also offers a variety of health-related content, including articles, videos, and quizzes.

WELLNESS.XYZ is a website created by a Long COVID patient to provide the latest guidance and personalized care for managing symptoms. The platform aims to offer information on various health topics to promote consumer understanding. It does not provide medical advice but encourages users to consult healthcare professionals for personalized guidance.

Smart Dictate is a context-aware dictation and AI chat application designed for the web. It utilizes AI technology to understand technical terms, names, and industry jargon automatically, providing users with accurate transcriptions across various platforms. With lightning-fast speed and real-time transcription capabilities, Smart Dictate aims to enhance workflows and save users valuable time in tasks such as email communication, social media interactions, and documentation.

Painfinder.co is a website that provides resources and information related to pain management. The webpage seems to be generated by the domain owner using Sedo Domain Parking. It offers content on various aspects of pain relief, treatment options, and general information on managing different types of pain. Users can access articles, tips, and possibly links to external resources to help them better understand and cope with pain.

Cactus Communications is a science communication and technology company specializing in AI products and solutions for research funding, publication, communication, and discovery. Their services include editorial services, author education, research promotion, technology solutions, and medical communications.

BioXcel Therapeutics, Inc. is a clinical-stage biopharmaceutical company developing transformative medicines in neuroscience and immuno-oncology utilizing artificial intelligence, or AI, techniques. The company's proprietary AI platform is used to identify, re-innovate, and develop potential new therapies. BioXcel Therapeutics has a pipeline of product candidates in various stages of development, including BXCL501 for agitation in dementia, BXCL701 for cocaine use disorder, and BXCL801 for acute suicidal ideation and behavior in patients with major depressive disorder.

Legalyze.ai is an AI application designed for lawyers to streamline document review processes and automate the creation of medical chronologies. The platform uses AI to summarize and extract key points from case documents, providing rapid insights and answers to specific questions. With features like document summaries, rapid case review, and fact-finding capabilities, Legalyze.ai aims to save time and enhance efficiency in legal practices.

Tempus is an AI-enabled precision medicine company that brings the power of data and artificial intelligence to healthcare. With the power of AI, Tempus accelerates the discovery of novel targets, predicts the effectiveness of treatments, identifies potentially life-saving clinical trials, and diagnoses multiple diseases earlier. Tempus's innovative technology includes ONE, an AI-enabled clinical assistant; NEXT, a tool to identify and close gaps in care; LENS, a platform to find, access, and analyze multimodal real-world data; and ALGOS, algorithmic models connected to Tempus's assays to provide additional insight.

AskEllyn.ai is a supportive platform dedicated to providing knowledge, wisdom, and advice for individuals diagnosed with breast cancer. The website offers a range of resources, including a chatbot named AskEllyn, which serves as a non-medical AI companion to offer judgment-free support and empower users to self-advocate. AskEllyn is available in multiple languages and is provided free of charge through The Lyndall Project, a non-profit organization focused on enhancing the patient experience through AI-powered conversational care.

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.

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.

AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.

The Medical_Image_Analysis repository focuses on X-ray image-based medical report generation using large language models. It provides pre-trained models and benchmarks for CheXpert Plus dataset, context sample retrieval for X-ray report generation, and pre-training on high-definition X-ray images. The goal is to enhance diagnostic accuracy and reduce patient wait times by improving X-ray report generation through advanced AI techniques.

AI Hospital is a research repository focusing on the interactive evaluation and collaboration of Large Language Models (LLMs) as intern doctors for clinical diagnosis. The repository includes a simulation module tailored for various medical roles, introduces the Multi-View Medical Evaluation (MVME) Benchmark, provides dialog history documents of LLMs, replication instructions, performance evaluation, and guidance for creating intern doctor agents. The collaborative diagnosis with LLMs emphasizes dispute resolution. The study was authored by Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xie, Fei Huang, and Jingren Zhou.

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.

Slideflow is a deep learning library for digital pathology, offering a user-friendly interface for model development. It is designed for medical researchers and AI enthusiasts, providing an accessible platform for developing state-of-the-art pathology models. Slideflow offers customizable training pipelines, robust slide processing and stain normalization toolkit, support for weakly-supervised or strongly-supervised labels, built-in foundation models, multiple-instance learning, self-supervised learning, generative adversarial networks, explainability tools, layer activation analysis tools, uncertainty quantification, interactive user interface for model deployment, and more. It supports both PyTorch and Tensorflow, with optional support for Libvips for slide reading. Slideflow can be installed via pip, Docker container, or from source, and includes non-commercial add-ons for additional tools and pretrained models. It allows users to create projects, extract tiles from slides, train models, and provides evaluation tools like heatmaps and mosaic maps.

HuatuoGPT-o1 is a medical language model designed for advanced medical reasoning. It can identify mistakes, explore alternative strategies, and refine answers. The model leverages verifiable medical problems and a specialized medical verifier to guide complex reasoning trajectories and enhance reasoning through reinforcement learning. The repository provides access to models, data, and code for HuatuoGPT-o1, allowing users to deploy the model for medical reasoning tasks.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

LLMonFHIR is an iOS application that utilizes large language models (LLMs) to interpret and provide context around patient data in the Fast Healthcare Interoperability Resources (FHIR) format. It connects to the OpenAI GPT API to analyze FHIR resources, supports multiple languages, and allows users to interact with their health data stored in the Apple Health app. The app aims to simplify complex health records, provide insights, and facilitate deeper understanding through a conversational interface. However, it is an experimental app for informational purposes only and should not be used as a substitute for professional medical advice. Users are advised to verify information provided by AI models and consult healthcare professionals for personalized advice.

Build-your-own-AI-Assistant-Solution-Accelerator is a pre-release and preview solution that helps users create their own AI assistants. It leverages Azure Open AI Service, Azure AI Search, and Microsoft Fabric to identify, summarize, and categorize unstructured information. Users can easily find relevant articles and grants, generate grant applications, and export them as PDF or Word documents. The solution accelerator provides reusable architecture and code snippets for building AI assistants with enterprise data. It is designed for researchers looking to explore flu vaccine studies and grants to accelerate grant proposal submissions.

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.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

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)

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

Anki AI Utils is a powerful suite of AI-powered tools designed to enhance your Anki flashcard learning experience by automatically improving cards you struggle with. The tools include features such as adaptive learning, personalized memory hooks, automation readiness, universal compatibility, provider agnosticism, and infinite extensibility. The toolkit consists of tools like Illustrator for creating custom mnemonic images, Reformulator for rephrasing flashcards, Mnemonics Creator for generating memorable mnemonics, Explainer for providing detailed explanations, and Mnemonics Helper for quick mnemonic generation. The project aims to motivate others to package the tools into addons for wider accessibility.

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.

cellseg-models.pytorch is a Python library built upon PyTorch for 2D cell/nuclei instance segmentation models. It provides multi-task encoder-decoder architectures and post-processing methods for segmenting cell/nuclei instances. The library offers high-level API to define segmentation models, open-source datasets for training, flexibility to modify model components, sliding window inference, multi-GPU inference, benchmarking utilities, regularization techniques, and example notebooks for training and finetuning models with different backbones.

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

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

Your guide to all things DME

🛠️🤖 Part-finding robot assistant. Deep Web Part Scourer

Expert in Medical Supplies and Medicare Guidelines

Informative guide on medical devices and healthcare technology.

Expert in medical article analysis and review writing.

A virtual hospital assistant providing healthcare information.

Get a challenge and find my illness!

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

Find and summarize recent papers in biology, chemistry, and biomedical sciences.

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

Find active recruiting oncology clinical trials near you.

I search PubMed and Google Scholar to find academic papers and articles.

A Medical Research Assistant Chatbot

Specializes in medical scrubs

Approachable expert on FDA medical device regulation. Offering direct download links for related regulation and guidance documents from FDA sites.

Humorous assistant for healthy swaps and medical insights.

Medical and informative guide on liver cancer.

An experimental virtual doctor for medical guidance. Designed by a Doctor.

Inquisitive medical advisor.