Best AI tools for< Emergency Medical Technician >

SymptomChecker.io is an AI-powered medical symptom checker that allows users to describe their symptoms in their own words and receive non-reviewed AI-generated responses. It is important to note that this tool is not intended to offer medical advice, diagnosis, or treatment and should not be used as a substitute for professional medical advice. In the case of a medical emergency, please contact your physician or dial 911 immediately.

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.

PMcardio is an AI-powered platform that offers accurate and rapid diagnosis of cardiovascular diseases through ECG interpretation. It provides healthcare professionals with the ability to diagnose various cardiac conditions within seconds, ensuring timely referrals and streamlined workflows. PMcardio leverages AI technology to digitize ECG records, enhance clinical decision-making, and standardize ECG reports, ultimately improving the quality of patient care. The platform is designed to cater to both organizations and individuals, offering a range of features and benefits to revolutionize the field of cardiology.

Mudder AI is a data-powered coordination platform designed for resilient emergency response. The platform offers intelligent solutions for faster community recovery by uniting data, optimizing disaster response, and empowering emergency management through integrated intelligence. It combines data integration and harmonization, real-time situational awareness, predictive analytics and modeling, intelligent resource allocation and deployment, collaborative decision support, and post-disaster assessment and recovery. Mudder AI provides a comprehensive suite of professional services for a diverse clientele, from homeowners to commercial developers, to enhance disaster management capabilities and ensure efficient resource allocation during emergencies.

Omnilert is an AI-powered platform that provides active shooter protection and emergency communications solutions. It offers gun detection technology, emergency response automation, and real-time monitoring to help organizations respond swiftly to threats and keep people safe. With a focus on maximizing every critical second, Omnilert revolutionizes safety across various industries by combining AI-powered monitoring software with human verification. The platform is trusted by thousands of customers worldwide for its accuracy, low false positive rate, and innovative approach to safeguarding people, facilities, and operations.

Kami Home is an AI-powered security application that provides effortless safety and security for homes. It offers smart alerts, secure cloud video storage, and a Pro Security Alarm system with 24/7 emergency response. The application uses AI-vision to detect humans, vehicles, and animals, ensuring that users receive custom alerts for relevant activities. With features like Fall Detect for seniors living at home, Kami Home aims to protect families and provide peace of mind through advanced technology.

Global Threat is an AI-driven platform that specializes in identifying and monitoring global, regional, and local threats in real-time. The platform utilizes artificial intelligence to continuously analyze a wide range of data sources worldwide, providing actionable intelligence to empower users, governments, organizations, and security teams. By integrating advanced data analytics, machine learning algorithms, and predictive modeling, Global Threat offers a comprehensive view of the global threat landscape, helping users stay informed, prepared, and protected with unparalleled efficiency and accuracy.

HEAVY.AI is a cutting-edge analytics and location intelligence platform that empowers users to make time-sensitive, high-impact decisions over vast datasets. The platform offers Conversational Analytics, enabling users to ask questions about their data in natural language and view actionable visualizations instantly. With HeavyEco, the platform also supports emergency response efforts by streamlining the management of weather events. HEAVY.AI combines interactive visual analytics, hardware-accelerated SQL, and advanced analytics & data science framework to uncover hidden opportunities and risks within enterprise datasets.

Pathway is an AI-powered route optimization application that helps businesses and individuals find the optimal travel paths. It offers advanced algorithms to analyze various factors like traffic conditions, delivery windows, and resource capacities to generate efficient routes. The application is designed to optimize delivery routes for fleets, improve ride-sharing services, enhance public transportation planning, and provide fast routing for emergency services. Pathway aims to reduce costs, minimize travel time, improve resource allocation, and enhance overall efficiency for users.

Minimap.ai is an innovative AI-powered tool designed to provide users with detailed and accurate maps for various purposes. The tool utilizes advanced artificial intelligence algorithms to analyze and process geographical data, enabling users to generate customized maps quickly and efficiently. With Minimap.ai, users can create maps for navigation, urban planning, disaster management, and other applications with ease. The tool offers a user-friendly interface and a wide range of features to cater to different mapping needs.

Government Technology provides email newsletters that deliver the latest news and updates on various topics relevant to government leaders, including technology trends, artificial intelligence, cybersecurity, digital communities, emergency management, government business, higher education, and K-12 education. These newsletters aim to keep subscribers informed about critical developments and best practices in their respective fields.

Artificial Intelligence: Foundations of Computational Agents, 3rd edition by David L. Poole and Alan K. Mackworth, Cambridge University Press 2023, is a book about the science of artificial intelligence (AI). It presents artificial intelligence as the study of the design of intelligent computational agents. The book is structured as a textbook, but it is accessible to a wide audience of professionals and researchers. In the last decades we have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This book provides an accessible synthesis of the field aimed at undergraduate and graduate students. It provides a coherent vision of the foundations of the field as it is today. It aims to provide that synthesis as an integrated science, in terms of a multi-dimensional design space that has been partially explored. As with any science worth its salt, artificial intelligence has a coherent, formal theory and a rambunctious experimental wing. The book balances theory and experiment, showing how to link them intimately together. It develops the science of AI together with its engineering applications.

Emergent Mind is a website that provides access to trending AI papers. Users can browse papers by category, week, month, or year. The website also provides summaries of trending AI papers on Twitter.

Emergent Drums by Audialab is an AI-powered tool that allows users to generate an infinite number of royalty-free drum samples. With its advanced algorithms, Emergent Drums can create a wide range of drum sounds, from classic to modern, and everything in between. The tool is easy to use, and users can quickly generate drum samples that fit their specific needs. Emergent Drums is a valuable tool for musicians, producers, and anyone else who needs high-quality drum samples.

The website page is a dev blog by Marek Rosa, the CEO of Keen Software House and GoodAI. It covers updates and information about Space Engineers, VRAGE3 engine, LTM, and AI People game. Marek Rosa shares insights, announcements, and details about the latest developments in the gaming industry, particularly focusing on AI-driven NPCs and sandbox gameplay. The blog also discusses the challenges and advancements in AI technology for gaming applications.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Recent LLM (Large Language Models)-based CV and multi-modal works.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

The 'llm-misinformation-survey' repository is dedicated to the survey on combating misinformation in the age of Large Language Models (LLMs). It explores the opportunities and challenges of utilizing LLMs to combat misinformation, providing insights into the history of combating misinformation, current efforts, and future outlook. The repository serves as a resource hub for the initiative 'LLMs Meet Misinformation' and welcomes contributions of relevant research papers and resources. The goal is to facilitate interdisciplinary efforts in combating LLM-generated misinformation and promoting the responsible use of LLMs in fighting misinformation.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

This repository is a curated list of awesome large AI models in audio signal processing, focusing on the application of large language models to audio tasks. It includes survey papers, popular large audio models, automatic speech recognition, neural speech synthesis, speech translation, other speech applications, large audio models in music, and audio datasets. The repository aims to provide a comprehensive overview of recent advancements and challenges in applying large language models to audio signal processing, showcasing the efficacy of transformer-based architectures in various audio 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.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

This repository maintains a list of research papers on LLM-based Multi-Agents, categorized into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. The repository also includes a survey paper on LLM-based Multi-Agents and a table summarizing the key findings of the survey.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

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.

An expert on EMT roles, emergency services, and training, with a medical tone.

Emergency Medicine Educator

Asistente especializado en el manejo de la parada cardiorespiratoria según las recomendaciones del ERC (2021) y del ILCOR (2023).

(Survival Expertise and Real-Time Assistance) A survival expert offering guidance on emergency preparation and self-sufficient living.

Acil durumlar için paramediklere yardımcı olan asistan.

Everything you need to learn about First Aid

Simulation of a virtual emergency dispatcher for training purposes

Concise Emergency Number Guide for France

Assists with pet emergencies using photo sharing for web-based solutions.

Emergency advice GPT for quick, safe disaster responses

An assistant for natural emergency advice, preparation, and support.

Simulates emergency scenarios for crisis management training.

Provides emergency training assistance with a focus on safety and clear guidelines.

Accessible emergency expert, providing clear, easy-to-understand guidance.

Generates risk maps, emergency response plans and safety protocols for disaster management professionals.

Personal emergency preparedness advisor offering tailored advice and resources.

Informative assistant for safety and emergency training.

Provides insights on flood prevention and emergency preparedness

A guide for survival skills and emergency preparedness.

Caring and professional, offering tailored travel emergency advice.