Best AI tools for< Secure Medical Data >

The EMR Software is an AI-powered application designed to streamline healthcare practices by integrating future technologies for accurate outcomes and enhanced care. It offers innovative features such as natural language processing, AI-powered assistant, task automation, and radiology image enhancement. The software aims to reduce medical costs, improve turnover rates, increase medical efficiency, and enhance patient retention rates. It provides data security, clinical management, e-billing processes, revenue management, and tele-monitoring. EMR Software assists in managing clients effortlessly, improving billing operations, maximizing hospital profits, consulting patients remotely, and tracking chronic disease progression.

Segmed offers a free Medical Data De-Identification Tool that utilizes NLP and language models to remove any PHI, ensuring privacy-compliant medical research. The tool is designed for demonstration purposes only, with the option to reach out for De-Id as a service. Segmed.ai does not save or store any data, providing a secure environment for cleaning medical data. Users can access sample data and benefit from de-identified clinical data solutions.

Hathr AI offers HIPAA Compliant AI Tools for Healthcare, providing secure, private, and compliant AI solutions for teams dealing with PHI, PII, and other controlled information. The platform enables users to format notes, summarize sensitive information, automate billing, conduct record reviews, and more while ensuring data privacy and HIPAA compliance. Hathr AI's flexible AI tools are hosted in AWS GovCloud, offering durable, repeatable, and flexible workflows for organizations in healthcare, government, and other regulated industries.

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 Suite is a secure AI automation platform designed for businesses to streamline various processes through AI-powered solutions. The platform offers features such as content automation, meeting documentation, translation & localization, AI-first chatbots, smart search, and services tailored for finance & insurance and medical professionals. AI Suite aims to transform companies into AI-first businesses by saving time on manual tasks and enhancing efficiency through AI technologies.

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.

Simbo AI is a Gen AI platform designed for healthcare enterprises, offering autonomous applications for medical practice automation. It combines LLM and symbolic knowledge bases to provide hallucination-free responses. The platform is fully controllable, consistent, secure, and responsible, ensuring accurate and reliable AI interactions. Simbo AI utilizes Symbolic RAG technology with Lossless NLU for exact search and fact-checking capabilities. It aims to automate medical practices, reduce costs, and improve patient care, ultimately enhancing the lives of doctors and patients.

Cosign AI is an AI application that optimizes clinical practices by automating clinical documentation through an ambient scribe. The tool transforms conversations and dictations into clinical notes using large language models and customizable templates. It prioritizes HIPAA compliance and data security, ensuring a secure infrastructure for storing and processing protected health information. Clinicians can save time, reduce burnout, and improve note quality with this innovative solution.

CaseMark is an AI-powered platform designed to empower legal professionals by providing automated workflow and summarization services. It offers concise summaries of legal documents, such as deposition summaries, medical records summaries, trial summaries, and more. With features like custom workflows, integration with existing platforms, enterprise-class security, and the ability to select the best LLM for each use case, CaseMark aims to streamline legal processes and improve efficiency. Trusted by over 6,000 lawyers and legal tech companies, CaseMark is a privacy-first platform that helps users save time and focus on critical legal matters.

Freed is an AI scribe tool designed to assist clinicians in transcribing and writing notes efficiently. It integrates with Electronic Health Records (EHR) systems and offers tailored clinical notes in various medical specialties. Freed saves clinicians time, enhances patient care, and improves work-life balance by automating note-taking processes. The tool is loved by over 17,000 clinicians and trusted by 650+ health organizations, providing accurate and secure medical documentation.

Lemony is an on-premise generative AI solution designed for business teams, providing organization-wide trust, ownership, and transparency in AI. It offers private, fast, and compliant AI capabilities with multiple pre-loaded AI models and a software layer. Lemony enables team collaboration within professional organizations, ensuring centralized control, scalability, fixed-cost efficiency, and robust security.

Tavrn is an AI-powered platform that offers high-accuracy medical record chronologies for attorneys in a matter of hours. The platform utilizes cutting-edge AI technology to process hundreds of pages of medical records quickly and efficiently. Tavrn aims to reduce the burden of medical chronology costs for law firms, allowing lawyers to focus on advocating for their clients. With features like advanced Optical Character Recognition, enterprise-ready security, live support, and custom workflows, Tavrn provides a secure and high-tech solution for legal professionals to streamline their workflows and enhance case management efficiency.

Doctronic Concierge is a state-of-the-art AI-powered health assistant that offers fully personalized medical care. It revolutionizes healthcare by providing tailored care through learning from every interaction. Users can secure their spot for free to experience the future of healthcare with the world's first personalized medical AI.

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.

The Coalition for Secure AI (CoSAI) is an open ecosystem of AI and security experts dedicated to sharing best practices for secure AI deployment and collaborating on AI security research and product development. It aims to foster a collaborative ecosystem of diverse stakeholders to invest in AI security research collectively, share security expertise and best practices, and build technical open-source solutions for secure AI development and deployment.

Sider.ai is an AI-powered platform that focuses on security verification for online connections. It ensures a safe browsing experience by reviewing the security of your connection before proceeding. The platform uses advanced algorithms to detect and prevent potential threats, providing users with peace of mind while browsing the internet.

Teleport is a modern access platform for infrastructure that provides on-demand, least privileged access with a focus on cryptographic identity and zero trust security. It simplifies zero trust security for AWS and offers solutions for improving engineer productivity, protecting infrastructure, meeting compliance requirements, and modernizing privileged access management. Teleport is trusted by market leaders and offers more than 170 integrations for accessing clouds, data centers, and various resources.

ExamRoom.AI® is a web-based remote proctoring solution that offers a streamlined and scalable proctoring service tailored to the needs of organizations and individuals. The platform provides online assessment tools, professional services, and ready-made content to ensure secure and efficient exam processes. With a blend of human and AI proctoring, ExamRoom.AI® offers features like real-time analytics, Exam 360, ExamLock, and Exam Prism to enhance exam security and integrity. The platform supports various services such as live proctoring, recorded proctoring, review proctoring, and platform as a service (PAAS) to cater to different exam requirements. ExamRoom.AI® is committed to providing a secure testing environment, convenient online testing, and exceptional customer service to all users.

Giskard is an AI testing platform designed to secure Language Model (LLM) agents by continuously testing applications to prevent hallucinations and security issues. It is powered by leading AI researchers and trusted by Enterprise AI teams. Giskard offers features such as continuous testing, exhaustive risk detection, easy testing deployment, cross-team collaboration, and independent validation. The platform enables users to turn business knowledge into AI tests, generate comprehensive test scenarios, and stay protected with continuous Red Teaming that adapts to new threats.

Tonic.ai is a platform that allows users to build AI models on their unstructured data. It offers various products for software development and LLM development, including tools for de-identifying and subsetting structured data, scaling down data, handling semi-structured data, and managing ephemeral data environments. Tonic.ai focuses on standardizing, enriching, and protecting unstructured data, as well as validating RAG systems. The platform also provides integrations with relational databases, data lakes, NoSQL databases, flat files, and SaaS applications, ensuring secure data transformation for software and AI developers.

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.

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 contains a comprehensive list of various summer schools and winter schools in the field of artificial intelligence, machine learning, medical imaging, and healthcare. It provides detailed information about upcoming events, including the name, venue, date, deadline, organizers, fees, and scholarship details. The repository aims to share opportunities with the community and aspiring AI researchers/engineers, data scientists.

LoLLMs WebUI (Lord of Large Language Multimodal Systems: One tool to rule them all) is a user-friendly interface to access and utilize various LLM (Large Language Models) and other AI models for a wide range of tasks. With over 500 AI expert conditionings across diverse domains and more than 2500 fine tuned models over multiple domains, LoLLMs WebUI provides an immediate resource for any problem, from car repair to coding assistance, legal matters, medical diagnosis, entertainment, and more. The easy-to-use UI with light and dark mode options, integration with GitHub repository, support for different personalities, and features like thumb up/down rating, copy, edit, and remove messages, local database storage, search, export, and delete multiple discussions, make LoLLMs WebUI a powerful and versatile tool.

Txtai is an all-in-one embeddings database for semantic search, LLM orchestration, and language model workflows. It combines vector indexes, graph networks, and relational databases to enable vector search with SQL, topic modeling, retrieval augmented generation, and more. Txtai can stand alone or serve as a knowledge source for large language models (LLMs). Key features include vector search with SQL, object storage, topic modeling, graph analysis, multimodal indexing, embedding creation for various data types, pipelines powered by language models, workflows to connect pipelines, and support for Python, JavaScript, Java, Rust, and Go. Txtai is open-source under the Apache 2.0 license.

LLM4DB is a repository focused on the intersection of Large Language Models (LLM) and Database technologies. It covers various aspects such as data processing, data analysis, database optimization, and data management for LLM. The repository includes works on data cleaning, entity matching, schema matching, data discovery, NL2SQL, data exploration, data visualization, configuration tuning, query optimization, and anomaly diagnosis using LLMs. It aims to provide insights and advancements in leveraging LLMs for improving data processing, analysis, and database management tasks.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

The Conversation Knowledge Mining Solution Accelerator enables customers to leverage intelligence to uncover insights, relationships, and patterns from conversational data. It empowers users to gain valuable knowledge and drive targeted business impact by utilizing Azure AI Foundry, Azure OpenAI, Microsoft Fabric, and Azure Search for topic modeling, key phrase extraction, speech-to-text transcription, and interactive chat experiences.

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.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

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.

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.

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.

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.

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