Best AI tools for< Healthcare Advocate >

Seth's Blog is an AI-powered application that aims to revolutionize the healthcare system by leveraging artificial intelligence technology. The application allows users to narrate their symptoms to a thoughtful AI, which provides prompts, encouragement, and reassurance. It keeps a log of the patient's health data, offers insights to doctors, compares treatment approaches, and follows up with patients to ensure proper care. By enhancing information flows and diagnosis accuracy, the application seeks to improve patient outcomes and reduce healthcare costs.

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.

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.

Youper is an empathetic, safe, and clinically validated AI chatbot designed for mental healthcare. It combines psychology and artificial intelligence to provide support for emotional health issues. Youper has been proven clinically effective at reducing symptoms of anxiety and depression, making mental healthcare accessible to millions of users. The application is used by providers, employers, payers, and life science companies to scale their services and improve mental healthcare outcomes.

Yuna is an AI-powered mental health companion designed to support users in navigating life's challenges and improving their well-being. It offers 24/7 emotional support, calming techniques for anxiety management, and personalized guidance based on cognitive behavioral therapy principles. Yuna prioritizes user privacy and safety, utilizing real-time monitoring to identify signs of distress and connect users with qualified healthcare professionals when necessary.

MyWhy is the world's first AI psychotherapist, providing 24/7 emotional support through real-time AI voice therapy. It aims to make therapy accessible, affordable, and stigma-free for everyone worldwide by bridging the gap with an innovative approach. MyWhy combines advanced voice technology with compassionate guidance, offering seamless text and voice conversations prioritizing anonymity and privacy. The platform ensures secure and private mental health experiences without tracking personal data, providing a supportive and encrypted environment for users to express themselves freely.

Healthcare IT News is an AI-powered platform that provides the latest news and updates in the healthcare IT industry. The platform covers a wide range of topics including video analytics, artificial intelligence, cloud computing, EHR, government & policy, interoperability, patient engagement, population health, precision medicine, privacy & security, and telehealth. It offers insights, articles, and special projects related to AI, ML intelligence, cybersecurity, and more. Healthcare IT News aims to keep healthcare professionals informed about the latest trends and developments in the field.

The website is an AI tool focused on providing news, insights, and updates on the application of artificial intelligence in the healthcare industry. It covers a wide range of topics such as digital transformation, care delivery, and AI regulations. The platform aims to educate and inform healthcare professionals, industry watchers, and stakeholders about the latest trends, challenges, and opportunities in leveraging AI for improving patient care and healthcare operations.

XRP Healthcare Magazine is a leading pharma and healthcare platform launched in November 2023. It serves as a valuable resource for professionals and investors, covering company progress, AI, blockchain innovations, and healthcare investments. Distributed globally, it highlights key industry leaders shaping the future of healthcare.

The Medical Futurist is a digital health and AI-focused media platform that provides insights, research, and educational resources to healthcare professionals and industry leaders. It covers topics such as artificial intelligence in medicine, the future of pharma, and emerging trends in digital health. The platform also offers keynote speeches, courses, and e-books on these topics.

Consensus is a healthcare interoperability platform that simplifies data exchange and document processing through artificial intelligence technologies. It offers solutions for clinical documentation, HIPAA compliance, natural language processing, and robotic process automation. Consensus enables secure and efficient data exchange among healthcare providers, insurers, and other stakeholders, improving care coordination and operational efficiency.

ZeOmega is an AI-powered healthcare solutions platform that offers population health analytics, care management, benefits administration, and operational efficiency. It provides a comprehensive set of practical, AI-powered solutions for various healthcare stakeholders, including health plans, health systems, Medicare, Medicaid, and ACOs. ZeOmega's platform integrates data to create a single source of truth, drives intelligent automation, and optimizes quality of care through AI-powered insights and automated workflows. The platform is designed to streamline operations, improve efficiency, and enhance the overall quality of healthcare services.

GenHealth.ai is a cutting-edge AI application focused on generative healthcare AI. The platform offers innovative solutions for healthcare organizations by leveraging a Large Medical Model (LMM) trained on vast amounts of patient data. GenHealth.ai provides automated prior authorization, healthcare analytics, and predictive modeling to help healthcare leaders make informed decisions and optimize patient care. The application stands out for its ability to simulate patient futures, predict healthcare costs, and integrate with healthcare standards like FHIR, HL7, and X12.

Qure AI is a leading healthcare AI application that offers AI-powered assistance for accelerated healthcare products impact. It provides evidence-based insights and solutions for lung, heart, neuro, and musculoskeletal conditions. Qure AI is designed to be a perfect collaborator in every care decision, with the ability to deploy and scale anywhere with best-in-class support. The application focuses on chest X-ray reporting, TB care cascades, lung nodule management, stroke and traumatic brain injury (TBI), musculoskeletal X-ray reporting, and heart failure.

Hyro is a conversational AI platform designed for enterprise use, specifically in the healthcare industry. It offers a full-stack conversational AI omnichannel solution that includes AI assistants for repetitive tasks, call center automation, conversational intelligence, and responsible AI deployment. Hyro's platform integrates with popular tools like Epic EMR, Salesforce, and Cisco to streamline workflows and improve patient engagement. The platform is known for its adaptive communications capabilities, instant FAQ resolution, and IT help desk support. With a focus on responsible AI, Hyro aims to optimize decision-making and enhance patient support while reducing operational costs and improving efficiency.

Aabo is a digital healthcare platform offering a range of healthcare devices for home use. The platform includes products like sleep monitoring devices, stress management tools, smart stethoscopes, and health monitors. Aabo aims to provide accessible, accurate, and affordable healthcare solutions by integrating medical devices with AI algorithms. Users can track their health metrics, receive personalized healthcare recommendations, and improve their overall well-being through preventive measures.

Thoughtful is an AI-powered revenue cycle automation platform that offers efficiency reports, eligibility verification, patient intake automation, claims processing, and more. It deploys AI across healthcare organizations to maximize profitability, reduce errors, and enhance operational excellence. Thoughtful's AI agents work tirelessly, 10x more efficiently than humans, and never get tired. The platform helps providers improve revenue cycle management, financial health, HR processes, and healthcare IT operations through seamless integration, reduced overhead, and significant performance improvements. Thoughtful offers a white-glove service, custom-built platform, seamless integration with all healthcare applications, and performance-based contracting with refund and value guarantees.

ClosedLoop is a healthcare data science platform that helps organizations improve outcomes and reduce unnecessary costs with accurate, explainable, and actionable predictions of individual-level health risks. The platform provides a comprehensive library of easily modifiable templates for healthcare-specific predictive models, machine learning (ML) features, queries, and data transformation, which accelerates time to value. ClosedLoop's AI/ML platform is designed exclusively for the data science needs of modern healthcare organizations and helps deliver measurable clinical and financial impact.

Corti is an AI platform that provides advanced capabilities for patient consultations. It offers features such as Co-Pilot, a proactive AI scribe and assistant for clinicians, and Mission Control, an AI-powered conversation recorder. Corti's AI tools support various healthcare tasks, including high precision procedure and diagnosis coding, context-aware assistants for clinicians, and support for multiple languages in speech and text. The platform is trusted by major hospitals and healthcare providers worldwide.

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.

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

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**

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

The AWS Healthcare and Life Sciences AI/ML Immersion Day workshops provide hands-on experience for customers to learn about AI/ML services, gain a deep understanding of AWS AI/ML services, and understand best practices for using AI/ML in the context of HCLS applications. The workshops cater to individuals at all levels, from machine learning experts to developers and managers, and cover topics such as training, testing, MLOps, deployment practices, and software development life cycle in the context of AI/ML. The repository contains notebooks that can be used in AWS Instructure-Led Labs or self-paced labs, offering a comprehensive learning experience for integrating AI/ML into applications.

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.

Cyclops is a toolkit for facilitating research and deployment of ML models for healthcare. It provides a few high-level APIs namely: data - Create datasets for training, inference and evaluation. We use the popular 🤗 datasets to efficiently load and slice different modalities of data models - Use common model implementations using scikit-learn and PyTorch tasks - Use common ML task formulations such as binary classification or multi-label classification on tabular, time-series and image data evaluate - Evaluate models on clinical prediction tasks monitor - Detect dataset shift relevant for clinical use cases report - Create model report cards for clinical ML models

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.

Seismometer is a suite of tools designed to evaluate AI model performance in healthcare settings. It helps healthcare organizations assess the accuracy of AI models and ensure equitable care for diverse patient populations. The tool allows users to validate model performance using standardized evaluation criteria based on local data and workflows. It includes templates for analyzing statistical performance, fairness across different cohorts, and the impact of interventions on outcomes. Seismometer is continuously evolving to incorporate new validation and analysis techniques.

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.

Open Life Science AI: Medical Reasoning Tasks is a collaborative hub for developing cutting-edge reasoning tasks for Large Language Models (LLMs) in the medical, healthcare, and clinical domains. The repository aims to advance AI capabilities in healthcare by fostering accurate diagnoses, personalized treatments, and improved patient outcomes. It offers a diverse range of medical reasoning challenges such as Diagnostic Reasoning, Treatment Planning, Medical Image Analysis, Clinical Data Interpretation, Patient History Analysis, Ethical Decision Making, Medical Literature Comprehension, and Drug Interaction Assessment. Contributors can join the community of healthcare professionals, AI researchers, and enthusiasts to contribute to the repository by creating new tasks or improvements following the provided guidelines. The repository also provides resources including a task list, evaluation metrics, medical AI papers, and healthcare datasets for training and evaluation.

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.

The Azure Health Data and AI Samples Repo is a collection of sample apps and code to help users start with Azure Health Data and AI services, learn product usage, and speed up implementations. It includes samples for various health data workflows, such as data ingestion, analytics, machine learning, SMART on FHIR, patient services, FHIR service integration, Azure AD B2C access, DICOM service, MedTech service, and healthcare data solutions in Microsoft Fabric. These samples are simplified scenarios for testing purposes only.

Apollo is a multilingual medical LLM that covers English, Chinese, French, Hindi, Spanish, Hindi, and Arabic. It is designed to democratize medical AI to 6B people. Apollo has achieved state-of-the-art results on a variety of medical NLP tasks, including question answering, medical dialogue generation, and medical text classification. Apollo is easy to use and can be integrated into a variety of applications, making it a valuable tool for healthcare professionals and researchers.

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.

Generative AI Pharmacist is a project showcasing the use of generative AI tools to create an animated avatar named Macy, who delivers medication counseling in a realistic and professional manner. The project utilizes tools like Midjourney for image generation, ChatGPT for text generation, ElevenLabs for text-to-speech conversion, and D-ID for creating a photorealistic talking avatar video. The demo video featuring Macy discussing commonly-prescribed medications demonstrates the potential of generative AI in healthcare communication.

Nmed2024 is a GitHub repository that contains code for a neural network model designed for medical image analysis. The repository includes scripts for training the model, as well as pre-trained weights for quick deployment. The model is specifically tailored for detecting abnormalities in medical images, such as tumors or fractures. It utilizes deep learning techniques to achieve high accuracy and can be easily integrated into existing medical imaging systems. Researchers and developers in the healthcare industry can leverage this tool to enhance the efficiency and accuracy of medical image analysis tasks.

MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging. It provides a comprehensive set of tools for medical image analysis, including data preprocessing, model training, and evaluation. MONAI is designed to be flexible and easy to use, making it a valuable resource for researchers and developers in the field of medical imaging.

Expert in healthcare claim appeals

Guide to healthcare services in India.

A navigator for finding healthcare services and scheduling appointments.

Friendly assistant for healthcare and welfare.

Guiding healthcare conversations with insights.

Guiding veterans on PACT Act benefits, VA healthcare, military justice, and education, tailored for veterans and their families.

Friendly and conversational MS companion, empathetic and informative.

Optimistic AI offering hopeful guidance on astrocytomas.

Compassionate support and information on cancer care.

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

您的数字化健康伴侣。专为追求健康生活的您设计，提供个性化健康建议、症状自检以及健康数据追踪功能，让健康管理变得简单、高效。

Provides medically-informed insights on breast cancer.

A supportive companion for smoke-free living, tracking progress and offering motivation.

Give me your syptoms and I will provide instructions for how to manage your illness.

多语言，富有同情心的全科医生提供健康指导。

Information on male menopause, providing insights and explanations.

Enhances doctor-patient communication in telemedicine with linguistic expertise.

This prompt is presented as a virtual health assistant that interacts empathically and efficiently with the user, assuming the role of a doctor.

Formal health assistant with data upload for personalized monitoring.

A supportive and informative companion for women's reproductive health choices.