Best AI tools for< Health Informatician >

JMIR AI is a new peer-reviewed journal focused on research and applications for the health artificial intelligence (AI) community. It includes contemporary developments as well as historical examples, with an emphasis on sound methodological evaluations of AI techniques and authoritative analyses. It is intended to be the main source of reliable information for health informatics professionals to learn about how AI techniques can be applied and evaluated.

Glass is an AI-powered clinical decision support platform that empowers clinicians by providing differential diagnoses and drafting clinical plans based on patient summaries. The platform combines a large language model with evidence-based clinical guidelines to assist clinicians in making informed decisions. Glass Health aims to optimize the practice of medicine, improve patient care, increase diagnostic accuracy, implement evidence-based treatment, enhance medical education, eliminate burnout, accelerate health equity, and improve patient outcomes globally.

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.

Health Imaging is an AI-powered platform that focuses on providing cutting-edge solutions in medical imaging and healthcare management. The platform offers a wide range of features and tools that leverage artificial intelligence to enhance diagnostic accuracy, streamline workflows, and improve patient care. From advanced imaging technologies to AI-based training solutions, Health Imaging is at the forefront of innovation in the healthcare industry.

Health AI Partnership (HAIP) is an AI tool designed to empower healthcare professionals to effectively, safely, and equitably use AI through community-informed up-to-date standards. The platform offers resources, publications, events, and a practice network to advance the use of AI in healthcare and support professionals in implementing AI solutions.

Health Harbor is a web application designed to provide health-related information and resources to users. The platform offers a wide range of articles, tips, and tools to help individuals improve their overall well-being. Users can access information on various health topics such as nutrition, fitness, mental health, and more. Health Harbor aims to empower users to make informed decisions about their health and lifestyle choices.

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.

Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use Precision Mental Healthcare to seamlessly pinpoint and deliver exactly the right fit for each person - whether that's digital support, meditation exercises, coaching, therapy, medication, and beyond.

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.

Komodo Health is a healthcare technology company that provides software applications to enable users to deliver exceptional value to their customers, colleagues, and patients. The company's Healthcare Map is the industry's most precise view of the U.S. healthcare system, and it combines the world's most comprehensive view of patient-encounters with innovative algorithms and decades of clinical expertise. Komodo Health's software applications are used by life sciences companies, payers, providers, and consultancies to improve the certainty of pre-launch plans, calculate Rx-based ROI for digital marketing, find patients with complicated or rare conditions, and more.

Woebot Health is an AI-driven enterprise solution for mental health support, offering a digital companion that provides in-the-moment mental health support through interactive conversations and tools. The platform aims to increase access to mental health support, improve patient/member experience, and enhance business outcomes. Woebot Health utilizes rules-based conversations based on elements from Cognitive Behavioral Therapy (CBT), Interpersonal Psychotherapy (IPT), and Dialectical Behavioral Therapy (DBT), along with insights from clinical experts. It offers tools for emotional regulation, mood monitoring, and management, encouraging healthy lifestyle choices to help individuals cope with symptoms of anxiety and depression.

Babylon Health is a digital healthcare company that provides 24/7 access to virtual doctors, as well as a range of other healthcare services. The company's mission is to make healthcare more accessible, affordable, and convenient for everyone.

Elomia Health is an AI-powered mental health chatbot that provides anonymous and accessible support 24/7. It simulates conversations with a real therapist, offering instant replies and personalized guidance for various mental health concerns such as anxiety, stress, depression, and relationship issues. Elomia's AI technology detects when users require additional support and redirects them to appropriate resources like therapists or hotlines. The chatbot has received positive feedback from users, with 85% reporting improved mood and 90% finding it helpful.

Kaia Health is a digital therapy platform for musculoskeletal (MSK) pain. It combines human care with technology to provide personalized, evidence-based care. Kaia's platform includes a variety of features, such as automated feedback, coaching, and medical support. It has been shown to be effective in reducing pain, improving function, and reducing the need for surgery and pain medication.

Linus Health is a next-generation digital cognitive assessment platform that enables earlier detection and intervention in brain health. It brings the power of AI to long-trusted cognitive tests, delivering rich insights and actionable clinical guidance. Linus Health's technology has been validated in over 20 published studies and is used by leading organizations to transform their approach to brain health.

Oatmeal Health is an AI-enabled cancer screening application that aims to empower health equality by providing early detection services to underserved Medicare/Medicaid FQHC populations. The application combines primary care support, radiology risk assessments, and advanced therapeutic/clinical trial access for early diagnosis. Oatmeal Health partners with local providers to eliminate cancer care disparities and enhance patient outcomes through innovative technology and clinical solutions.

Iterative Health is a company that is dedicated to providing world-class GI care and treatment to patients around the world. They are on a mission to bring world-class care and treatment to patients around the world. Advances in machine learning and artificial intelligence are helping them create a complete GI ecosystem with the power to turn this vision into reality.

PEAR Health Labs is a personalized fitness coaching software that offers hyperpersonalized coaching solutions powered by AI to help individuals move smarter, get healthier, and live happier. The platform utilizes data from wearables and biometric feedback to create personalized fitness experiences. PEAR Training Intelligence creates adaptive plans based on proven physiological science, aiming to improve overall health and well-being. The software is cost-effective, scalable, and designed to provide guidance on physical activity regardless of the user's fitness level.

Intelligent Health is the world's leading AI in medicine summit series dedicated to saving lives with AI. The platform hosts a healthtech community committed to advancing pivotal conversations on AI in medicine and fostering global collaboration across the healthcare sector. With a comprehensive agenda offering access to expert voices, Intelligent Health expedites critical discussions on challenges, solutions, and innovations to facilitate key decision-making and impactful investments. The platform aims to ensure the safe, effective, and democratic adoption of AI in healthcare to improve global health outcomes for all.

Twin Health is a digital health company that uses artificial intelligence (AI) to help people reverse and prevent chronic metabolic diseases, such as type 2 diabetes. The company's flagship product is the Whole Body Digital Twin™, a digital representation of a person's unique metabolism that delivers personalized guidance on nutrition, sleep, activity, and breathing. Twin Health's program combines the Whole Body Digital Twin™ with a dedicated care team that monitors sensor data, offers personalized recommendations, and supports users on their health journey.

The Microsoft Health Intelligence Machine Learning Toolbox is a repository that provides low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It simplifies and streamlines work on deep learning models for healthcare and life sciences by offering tested components such as data loaders, pre-processing tools, deep learning models, and cloud integration utilities. The repository includes two Python packages, 'hi-ml-azure' for helper functions in AzureML, 'hi-ml' for ML components, and 'hi-ml-cpath' for models and workflows related to histopathology images.

ThereForYou is a groundbreaking solution aimed at enhancing public safety, particularly focusing on mental health support and suicide prevention. Leveraging cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and blockchain, the project offers accessible and empathetic assistance to individuals facing mental health challenges.

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.

AIDA64CRCK is a tool designed for Windows users to access the latest version for free. It provides users with comprehensive system information and diagnostics to optimize their computer performance. The tool is user-friendly and offers detailed insights into hardware components, software configurations, and system stability. With AIDA64CRCK, users can easily monitor their system health and troubleshoot any issues that may arise, making it a valuable utility for both casual users and tech enthusiasts.

EmoLLM is a series of large-scale psychological health counseling models that can support **understanding-supporting-helping users** in the psychological health counseling chain, which is fine-tuned from `LLM` instructions. Welcome everyone to star~⭐⭐. The currently open source `LLM` fine-tuning configurations are as follows:

MindChat is a psychological large language model designed to help individuals relieve psychological stress and solve mental confusion, ultimately improving mental health. It aims to provide a relaxed and open conversation environment for users to build trust and understanding. MindChat offers privacy, warmth, safety, timely, and convenient conversation settings to help users overcome difficulties and challenges, achieve self-growth, and development. The tool is suitable for both work and personal life scenarios, providing comprehensive psychological support and therapeutic assistance to users while strictly protecting user privacy. It combines psychological knowledge with artificial intelligence technology to contribute to a healthier, more inclusive, and equal society.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

DNAnalyzer is a nonprofit organization dedicated to revolutionizing DNA analysis through AI-powered tools. It aims to democratize access to DNA analysis for a deeper understanding of human health and disease. The tool provides innovative AI-powered analysis and interpretive tools to empower geneticists, physicians, and researchers to gain deep insights into DNA sequences, revolutionizing how we understand human health and disease.

APIMyLlama is a server application that provides an interface to interact with the Ollama API, a powerful AI tool to run LLMs. It allows users to easily distribute API keys to create amazing things. The tool offers commands to generate, list, remove, add, change, activate, deactivate, and manage API keys, as well as functionalities to work with webhooks, set rate limits, and get detailed information about API keys. Users can install APIMyLlama packages with NPM, PIP, Jitpack Repo+Gradle or Maven, or from the Crates Repository. The tool supports Node.JS, Python, Java, and Rust for generating responses from the API. Additionally, it provides built-in health checking commands for monitoring API health status.

AgroTech AI platform is a comprehensive web-based tool where users can access various machine learning models for making accurate predictions related to agriculture. It offers solutions for crop management, soil health assessment, pest control, and more. The platform implements machine learning algorithms to provide functionalities like fertilizer prediction, crop prediction, soil quality prediction, yield prediction, and mushroom edibility prediction.

Kong, or Kong API Gateway, is a cloud-native, platform-agnostic, scalable API Gateway distinguished for its high performance and extensibility via plugins. It also provides advanced AI capabilities with multi-LLM support. By providing functionality for proxying, routing, load balancing, health checking, authentication (and more), Kong serves as the central layer for orchestrating microservices or conventional API traffic with ease. Kong runs natively on Kubernetes thanks to its official Kubernetes Ingress Controller.

Azure HPC On-Demand Platform (az-hop) provides an end-to-end deployment mechanism for a base HPC infrastructure on Azure. It delivers a complete HPC cluster solution ready for users to run applications, which is easy to deploy and manage for HPC administrators. az-hop leverages various Azure building blocks and can be used as-is or easily customized and extended to meet any uncovered requirements. Industry-standard tools like Terraform, Ansible, and Packer are used to provision and configure this environment, which contains: - An HPC OnDemand Portal for all user access, remote shell access, remote visualization access, job submission, file access, and more - An Active Directory for user authentication and domain control - Open PBS or SLURM as a Job Scheduler - Dynamic resources provisioning and autoscaling is done by Azure CycleCloud pre-configured job queues and integrated health-checks to quickly avoid non-optimal nodes - A Jumpbox to provide admin access - A common shared file system for home directory and applications is delivered by Azure Netapp Files - Grafana dashboards to monitor your cluster - Remote Visualization with noVNC and GPU acceleration with VirtualGL

The vscode-dbt-power-user is an open-source extension that enhances the functionality of Visual Studio Code to seamlessly work with dbt™. It provides features such as auto-complete for dbt™ code, previewing query results, column lineage visualization, generating dbt™ models, documentation generation, deferring model builds, running parent/child models and tests with a click, compiled query preview and explanation, project health check, SQL validation, BigQuery cost estimation, and other features like dbt™ logs viewer. The extension is fully compatible with dev containers, code spaces, and remote extensions, supporting dbt™ versions above 1.0.

The 'ai-audio-startups' repository is a community list of startups working with AI for audio and music tech. It includes a comprehensive collection of tools and platforms that leverage artificial intelligence to enhance various aspects of music creation, production, source separation, analysis, recommendation, health & wellbeing, radio/podcast, hearing, sound detection, speech transcription, synthesis, enhancement, and manipulation. The repository serves as a valuable resource for individuals interested in exploring innovative AI applications in the audio and music industry.

The 'jobs' repository by comma.ai focuses on solving self-driving cars by building a robotics stack that includes state-of-the-art machine learning models, operating system design, hardware development, and manufacturing. The company aims to deliver constant incremental progress in self-driving technology to users, with a focus on practical solutions rather than hype. Job opportunities at comma.ai include technical challenges, phone screenings, and paid micro-internships, with perks such as chef-prepared meals, on-site gym access, and health insurance. The teams at comma.ai are organized into web, systems, infrastructure, product, design, and electrical engineering, with specific challenges for each team. The repository also offers opportunities for non-job seekers to participate in challenges and win prizes.

Paddler is an open-source load balancer and reverse proxy designed specifically for optimizing servers running llama.cpp. It overcomes typical load balancing challenges by maintaining a stateful load balancer that is aware of each server's available slots, ensuring efficient request distribution. Paddler also supports dynamic addition or removal of servers, enabling integration with autoscaling tools.

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.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

Petals is a tool that allows users to run large language models at home in a BitTorrent-style manner. It enables fine-tuning and inference up to 10x faster than offloading. Users can generate text with distributed models like Llama 2, Falcon, and BLOOM, and fine-tune them for specific tasks directly from their desktop computer or Google Colab. Petals is a community-run system that relies on people sharing their GPUs to increase its capacity and offer a distributed network for hosting model layers.

Insights on AI in healthcare and wellness

Provides info on Kerala's healthcare facilities.

高血压临床决策支持

Medical engineer specializing in HL7/FHIR data conversion.

HL7-FHIR® expert for developers and healthcare data managers

Aids in informatics for nurses and midwives.

Personalized health coach bot for diverse needs, equipped with evidence-based health practices and strategies for dialogue engagement.

我是一个中医养生助手，目的是通过专业的体质测试，帮助用户了解自己的体质，并根据体质给出针对性的养生方案建议。

Provides individual health advice in a corporate setting, focusing on practical, evidence-based information.

The best guide to men's health and longevity advice.

Most impactful recommendations for better health based on latest science and a holistic, functional approach by interpreting your health profile and biomarkers

Adolescent health guide with comparative tables and tips.

Expert in self-funded health plans, focusing on finance, stop loss, and data analytics.

A guide on health, productivity, and legal compliance

A helpful guide for choosing and understanding health insurance plans.

Direct and clear health alerts with consistent tone.

I'm a Holistic Health Coach, here to guide you in wellness practices.

Your personalized health companion. Through a series of questions and conversations, this tool will be able to provide you health and wellness recommendations, backed by science, tailored for you.

Interactive Personalized Health Advisor

Your guide to global health and wellness travel.