Best AI tools for< Develop Healthcare Software >

Medeloop is a revolutionary platform in health research that leverages machine learning and big data analytics to accelerate breakthrough discoveries in disease research. The platform provides a comprehensive data-linking infrastructure to solve the problem of wasted health and medical data for both patients and researchers. Medeloop's multi-modal data linkage platform enables researchers to access and analyze diverse data types using analytical tools and programming languages. By utilizing machine learning and artificial intelligence algorithms, Medeloop drives the discovery and development of new therapies, making it a key player in changing the nature of healthcare for the better.

Altamira is an AI-driven software development company that offers a wide range of services including software discovery, ideation, audit, consulting, and development. They specialize in AI feasibility studies, AI development, dataOps pipelines, and pre-built AI/ML models. Altamira focuses on providing holistic care for digital solutions, with expertise in various industries such as fintech, retail, healthcare, and more. They aim to optimize software development processes for established businesses, startups, and spinoffs by offering tailored solutions that make a tangible impact on growth and productivity.

Zxease is an AI-powered iOS app development tool designed to assist developers in creating high-quality applications for various domains such as ioT, Lifestyle & Fashion, Fintech, Healthcare, and Health & Fitness. The tool aims to streamline the app development process by providing AI-powered code assistance to enhance the user experience and optimize the final product for the target audience. With a focus on delivering engaging and interactive user interfaces, Zxease helps developers in building top-notch iOS apps that meet the industry standards and are approved by the App Store.

Activeloop is an AI tool that offers Deep Lake, a database for AI solutions across various industries such as agriculture, audio processing, autonomous vehicles, robotics, biomedical and healthcare, generative AI, multimedia, safety, and security. The platform provides features like fast AI search, faster data preparation, serverless DB for code assistant, and more. Activeloop aims to streamline data processing and enhance AI development for businesses and researchers.

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.

NeoApps.ai is a groundbreaking SAAS platform that uses AI to simplify and optimize application development. With its intuitive interface, users can design databases, craft APIs, and create front-end interfaces effortlessly. NeoApps.ai offers diverse modules tailored to specific industry needs, from healthcare to finance. Its AI-driven chatbot comprehends user requirements, formulates user stories, and designs precise specifications, making app development a breeze. NeoApps.ai places customization at the forefront, ensuring apps adapt seamlessly as businesses evolve.

Google AI is a research and development laboratory focused on advancing the state-of-the-art in artificial intelligence. The company's mission is to develop AI that is beneficial to humanity, and its research focuses on a wide range of topics, including machine learning, computer vision, natural language processing, and robotics. Google AI has developed a number of products and services that use AI, including the Google Assistant, Google Translate, and Gmail's spam filter. The company is also working on developing new AI applications for healthcare, transportation, and other industries.

Datature is an all-in-one platform for building and deploying computer vision models. It provides tools for data management, annotation, training, and deployment, making it easy to develop and implement computer vision solutions. Datature is used by a variety of industries, including healthcare, retail, manufacturing, and agriculture.

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.

NVIDIA is a world leader in artificial intelligence computing. The company's products and services are used by businesses and governments around the world to develop and deploy AI applications. NVIDIA's AI platform includes hardware, software, and tools that make it easy to build and train AI models. The company also offers a range of cloud-based AI services that make it easy to deploy and manage AI applications. NVIDIA's AI platform is used in a wide variety of industries, including healthcare, manufacturing, retail, and transportation. The company's AI technology is helping to improve the efficiency and accuracy of a wide range of tasks, from medical diagnosis to product design.

Subtle Medical develops vendor-neutral software solutions that improve image quality on regular and accelerated image protocols, allowing radiologists to expedite patient care. Their AI solutions for MRI and PET reduce image noise and increase image sharpness, leading to improved diagnostic confidence and a better patient experience. Subtle Medical's software seamlessly integrates with all scanners and clients, supporting both cloud and on-prem deployment. It processes images within seconds, fitting seamlessly into existing workflows.

The Coalition for Health AI (CHAI) is an AI application that provides guidelines for the responsible use of AI in health. It focuses on developing best practices and frameworks for safe and equitable AI in healthcare. CHAI aims to address algorithmic bias and collaborates with diverse stakeholders to drive the development, evaluation, and appropriate use of AI in healthcare.

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.

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' innovative technology includes ONE, an AI-enabled clinical assistant; NEXT, which identifies and closes gaps in care; LENS, which finds, accesses, and analyzes multimodal real-world data; and ALGOS, algorithmic models connected to Tempus' assays to provide additional insight.

Glass Health is an AI-powered clinical decision support platform that empowers clinicians by providing tools to develop differential diagnoses and draft clinical plans. The platform combines cutting-edge AI technology with evidence-based medical knowledge to streamline diagnostic decisions and optimize clinician workflows. Glass Health's mission is to leverage technology to enhance the practice of medicine, increase diagnostic accuracy, implement evidence-based medicine, promote health equity, and improve patient outcomes globally. The platform is built by clinicians, for clinicians, with a deep commitment to safety, ethics, and alignment.

HOPPR is a medical-grade platform that accelerates the development of tailored applications to enhance clinical care and optimize workflows. The platform streamlines AI development in medical imaging, prioritizes data security and privacy, and offers diverse datasets across modalities, anatomies, demographics, and geographies. HOPPR empowers faster prototyping, hypothesis testing, and scalable applications for research and medical imaging services, addressing the growing crisis in medical imaging by enabling partners to rapidly develop solutions that improve patient care, enhance operational efficiency, and increase clinician satisfaction.

Mantra Labs is an AI tool that specializes in CX transformation, product engineering, and technology modernization. They offer services such as AI strategy and implementation, web and mobile application development, robotic process automation, and testing. Mantra Labs aims to build intelligent experiences that matter, catering to consumer-facing brands and enterprises with business-critical stacks. They focus on domains like BFSI, digital health, and consumer internet, providing cognitive capabilities and AI-driven solutions. The company's expertise lies in engineering interactive digital touchpoints, gamified customer journey roadmap, cloud strategy and execution, tech stack migration, product consulting, and technology consulting.

The website provides detailed information for beginners on selecting a nursing school, including points to consider, advantages and disadvantages of attending school, and what to study at nursing schools. It covers topics such as the curriculum, practical skills, and the importance of selecting a school based on personal goals and desired qualifications. The site also discusses the availability of dormitories, the purpose of nursing education, and the importance of clarifying learning goals and qualifications when choosing a nursing school.

Saal.ai is an AI company based in Abu Dhabi that offers innovative cognitive AI solutions for various industries such as healthcare, finance, and smart cities. The company leverages artificial intelligence to develop cognitive solutions, products, and platforms that help businesses automate their operations and address challenges using advanced AI technologies. Saal.ai's framework is flexible and continuously optimized to seamlessly integrate into any business, unlocking exponential growth opportunities for humanity.

LITFL (Life in the Fast Lane) is a website that provides free medical education resources, including articles, videos, podcasts, and infographics. The site is run by a team of doctors and other healthcare professionals who are passionate about sharing their knowledge and expertise with the world. LITFL has been featured in numerous publications, including The New York Times, The Guardian, and The Wall Street Journal.

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.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

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 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.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

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.

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.

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.

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**

LYRAIOS (LLM-based Your Reliable AI Operating System) is an advanced AI assistant platform built with FastAPI and Streamlit, designed to serve as an operating system for AI applications. It offers core features such as AI process management, memory system, and I/O system. The platform includes built-in tools like Calculator, Web Search, Financial Analysis, File Management, and Research Tools. It also provides specialized assistant teams for Python and research tasks. LYRAIOS is built on a technical architecture comprising FastAPI backend, Streamlit frontend, Vector Database, PostgreSQL storage, and Docker support. It offers features like knowledge management, process control, and security & access control. The roadmap includes enhancements in core platform, AI process management, memory system, tools & integrations, security & access control, open protocol architecture, multi-agent collaboration, and cross-platform support.

Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.

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Leading in Smart Healthcare AI, Powered by OpenAI

Guides through healthcare app legalities

Healthcare futurist discussing trends, innovations, and predictions, inspired by space, resilience, and precision medicine.

Insights on AI in healthcare and wellness

Expert in biopharma, medical, and healthcare investment advice, with comprehensive industry insights.

「痛みを経験する前に考える」または「痛みを経験してから考える」を分析する

A professional, medical-focused tool for diabetes risk assessment.

GPT for AI in Medicine

Solve Medical Mysteries!

A bioethics expert on human enhancement.

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Specialising in pharmaceutical research, medical science, and biotech

Expert on marketing to foreign patients in Korea

Expert and respectful guide on aging research and its societal impacts.

I can assist doctors with information synthesis, medical literature reviews, patient education material, diagnostic guidelines, treatment options, ethical dilemmas, and staying updated on medical research and innovations.

Expert data analyst with a focus on diabetes data structure analysis.

Expert in cancer biology

Guides on surgical image analysis.

An astute educational assistant trained using premier medical texts.