Best AI tools for< Healthcare Ai Specialist >

ClosedLoop is a healthcare data science platform that helps organizations improve outcomes and reduce costs by providing accurate, explainable, and actionable predictions of individual-level health risks. The platform offers predictive analytics for various healthcare sectors, data science automation, and a healthcare content library to accelerate time to value. ClosedLoop's AI/ML platform is designed exclusively for the data science needs of modern healthcare organizations, enabling proactive interventions, improved clinical outcomes, and innovative healthcare offerings.

Healer is the first AI-clinic that offers accessible AI clinicians to help individuals with various health and lifestyle issues. Users can connect with specialized AI specialists 24/7 through the platform, covering areas such as allergology, dermatology, endocrinology, nutrition, sexology, and therapy. Healer aims to provide on-demand support for a healthy and mindful lifestyle, offering guidance on a wide range of topics related to well-being and self-care.

March is an AI-powered women's health and wellness solution that revolutionizes women's health with AI-driven, compassionate support for endometriosis, PCOS, and chronic pelvic pain from diagnosis to comprehensive management. The platform offers a 5-layered care model, personalized recommendations, guided health coaching, and virtual specialist care. March provides early screening and assessment, home-based care, accurate non-invasive diagnosis, and personalized pain management. It aims to empower women to proactively manage their reproductive health and overall well-being.

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.

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.

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.

Puppeteer is an AI application that offers Gen AI Nurses to empower patient support in healthcare. It addresses staffing shortages and enhances access to quality care through personalized and human-like patient experiences. The platform revolutionizes patient intake with features like mental health companions, virtual assistants, streamlined data collection, and clinic customization. Additionally, Puppeteer provides a comprehensive solution for building conversational bots, real-time API and database integrations, and personalized user experiences. It also offers a chatbot service for direct patient interaction and support in psychological help-seeking. The platform is designed to enhance healthcare delivery through AI integration and Large Language Models (LLMs) for modern medical solutions.

K Health is an AI-powered healthcare platform that leverages artificial intelligence to provide users with personalized medical insights and advice. By analyzing symptoms and medical history, K Health offers users a quick and convenient way to assess their health conditions and receive recommendations for next steps. The platform aims to democratize healthcare by making medical expertise more accessible and affordable to a wider audience. K Health is designed to complement traditional healthcare services and empower individuals to take control of their health proactively.

Apixio is a healthcare AI company that provides solutions for health plans, providers, and ACOs. Their AI-powered platform helps organizations improve administrative, clinical, and financial outcomes. Apixio's solutions include risk adjustment, payment integrity, health data management, and AI-as-a-service.

Healthray is a Next-Gen AI Hospital Management System that offers a comprehensive suite of healthcare software solutions, including Hospital Information Management System (HIMS), EMR Software, EHR Software, Pharmacy Management System (PMS), and Laboratory Information Management System (LIMS). The platform leverages cutting-edge AI technology to streamline operations, elevate patient care, and optimize administrative efficiency for healthcare providers. Healthray caters to a wide range of medical specialties and offers advanced functionalities to revolutionize traditional healthcare practices. With a focus on digital healthcare solutions and AI integration, Healthray aims to transform the healthcare industry by providing innovative tools for doctors and hospitals.

ICD AI is an advanced artificial intelligence tool designed to assist healthcare professionals in accurately assigning diagnostic codes to patient records. The tool utilizes machine learning algorithms to analyze medical data and suggest appropriate ICD codes, streamlining the coding process and reducing errors. With its user-friendly interface and robust features, ICD AI is revolutionizing medical coding practices and improving efficiency in healthcare facilities.

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.

The website is a platform offering generative AI insights, technology, and applications for enterprise solutions. It provides expertise and perspectives to create impactful solutions across various industries such as healthcare, pharmaceuticals, biotech, and more. The platform offers end-to-end solutions for healthcare R&D innovation, digital health, and personalized buying experiences. It also focuses on AI & Analytics, digital transformation, life sciences R&D, marketing strategies, sales effectiveness, and value strategy. The website aims to help businesses leverage generative AI to drive productivity, make better decisions, and achieve tangible outcomes.

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.

TORTUS is an AI application designed for doctors and clinicians, offering an AI interface for Electronic Health Records (EHR). It aims to provide faster, better, and kinder care by automating tasks such as record transcription, note generation, and clinical coding. The application is fully compliant with healthcare regulations and prioritizes data security. O.S.L.E.R. is positioned as a digital worker for digital work, enhancing patient outcomes and relieving clinician burnout through clinician-AI co-working.

MediCodio is an AI medical coding assistant that utilizes advanced technologies such as AI, ML, RPA, and NLP to streamline the medical coding process. It combines automation with medical coders' expertise to suggest relevant codes based on patient charts, improving accuracy and efficiency within revenue cycle management. The tool enhances revenue cycle management by minimizing claim denials, increasing revenue, and reducing coder burnout. It offers intelligent code suggestions, expert medical coder verification, and versatile support for various specialties.

Neosmart is an AI tool that provides insights and serves as a bridge to AI technology. The platform offers a wide range of resources, including articles, reports, and courses, to help users understand and leverage artificial intelligence in various industries. Neosmart covers topics such as AI applications in healthcare, marketing, legal, education, and more. It also features news updates, interviews with experts, and case studies to keep users informed about the latest trends and developments in the AI field.

BetterMedicine is an AI software designed for cancer diagnostics and detection. It offers AI-powered solutions to enhance patient outcomes and drive efficiency in radiology workflows. The software is expertly designed by medical professionals and AI specialists, providing trusted and clinically validated solutions. BetterMedicine aims to address inefficiencies in radiology by integrating AI-powered software for detecting lesions on CT scans seamlessly into the workflow, thereby improving efficiency and reducing the risk of oversight. The application focuses on improving patient outcomes, reducing errors, and enhancing the wellbeing of radiology professionals.

Hub IT is a comprehensive IT solutions and services provider offering a wide range of services including website development, mobile app development, cloud services, special software solutions, AI technologies, cyber security, SEO, creative content, data entry, business coaching, ads management, and back-office solutions. The company aims to empower businesses and individuals through cutting-edge technology and innovative digital marketing solutions, ensuring optimal efficiency and success in the digital world. With a focus on industry-specific solutions, Hub IT serves clients in various sectors such as automotive, EdTech, energy and utilities, fintech, healthcare, social media, insurance, government, hospitality, logistics, retail, real estate, technology, telecom, tourism, travel, transport, cargo, and video games.

Shaip is a human-powered data processing service specializing in AI and ML models. They offer a wide range of services including data collection, annotation, de-identification, and more. Shaip provides high-quality training data for various AI applications, such as healthcare AI, conversational AI, and computer vision. With over 15 years of expertise, Shaip helps organizations unlock critical information from unstructured data, enabling them to achieve better results in their AI initiatives.

Implementation of the general framework for AMIE, from the paper Towards Conversational Diagnostic AI, out of Google Deepmind. This repository provides a Pytorch implementation of the AMIE framework, aimed at enabling conversational diagnostic AI. It is a work in progress and welcomes collaboration from individuals with a background in deep learning and an interest in medical applications.

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.

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.

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.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

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.

AIGT is a repository containing scripts for deep learning in guided medical interventions, focusing on ultrasound imaging. It provides a complete workflow from formatting and annotations to real-time model deployment. Users can set up an Anaconda environment, run Slicer notebooks, acquire tracked ultrasound data, and process exported data for training. The repository includes tools for segmentation, image export, and annotation creation.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

This repository, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

OpenAGI is a framework designed to make the development of autonomous human-like agents accessible to all. It aims to pave the way towards open agents and eventually AGI for everyone. The initiative strongly believes in the transformative power of AI and offers developers a platform to create autonomous human-like agents. OpenAGI features a flexible agent architecture, streamlined integration and configuration processes, and automated/manual agent configuration generation. It can be used in education for personalized learning experiences, in finance and banking for fraud detection and personalized banking advice, and in healthcare for patient monitoring and disease diagnosis.

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.

OpenSSA is an open-source framework for creating efficient, domain-specific AI agents. It enables the development of Small Specialist Agents (SSAs) that solve complex problems in specific domains. SSAs tackle multi-step problems that require planning and reasoning beyond traditional language models. They apply OODA for deliberative reasoning (OODAR) and iterative, hierarchical task planning (HTP). This "System-2 Intelligence" breaks down complex tasks into manageable steps. SSAs make informed decisions based on domain-specific knowledge. With OpenSSA, users can create agents that process, generate, and reason about information, making them more effective and efficient in solving real-world challenges.

AI-powered call center solution with Azure and OpenAI GPT. The bot can answer calls, understand the customer's request, and provide relevant information or assistance. It can also create a todo list of tasks to complete the claim, and send a report after the call. The bot is customizable, and can be used in multiple 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.

AI-resources is a repository containing links to various resources for learning Artificial Intelligence. It includes video lectures, courses, tutorials, and open-source libraries related to deep learning, reinforcement learning, machine learning, and more. The repository categorizes resources for beginners, average users, and advanced users/researchers, providing a comprehensive collection of materials to enhance knowledge and skills in AI.

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.

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.

SalesGPT is an open-source AI agent designed for sales, utilizing context-awareness and LLMs to work across various communication channels like voice, email, and texting. It aims to enhance sales conversations by understanding the stage of the conversation and providing tools like product knowledge base to reduce errors. The agent can autonomously generate payment links, handle objections, and close sales. It also offers features like automated email communication, meeting scheduling, and integration with various LLMs for customization. SalesGPT is optimized for low latency in voice channels and ensures human supervision where necessary. The tool provides enterprise-grade security and supports LangSmith tracing for monitoring and evaluation of intelligent agents built on LLM frameworks.

优云康鼻科专业机器人

Regenerative medicine virtual assistant 'Regen'.

Guide to healthcare services in India.

Olá radiologista. Para começar, digite /prelim e escreva o tipo de exame e os seus achados preliminares, logo em seguida enviarei o laudo completo!

NeuroNote GPT is a specialized AI assistant designed for organizing and summarizing academic articles on neurology and epilepsy, specifically tailored for integration with Obsidian.

Leading in Smart Healthcare AI, Powered by OpenAI

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

多语言，富有同情心的全科医生提供健康指导。

Explores emerging trends and innovations in medicine.

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

Healthcare Coordination AI Assistant

Friendly assistant for healthcare and welfare.

Insights on AI in healthcare and wellness

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

Responsive guide on ethics and human rights.

AI Resource Navigator efficiently guides users to educational, financial, healthcare, and legal resources in the USA

Expert AI for health diagnostics, a digital doctor guiding through illnesses

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

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

A crisis response and global issue advisor, providing life-saving information.