Best AI tools for< Population Health Manager >

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.

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.

HealthITAnalytics is a leading source of news, insights, and analysis on the use of information technology in healthcare. The website covers a wide range of topics, including artificial intelligence, machine learning, data analytics, and population health management. HealthITAnalytics also provides resources for healthcare professionals, such as white papers, webinars, and podcasts.

Mercurio Analytics is an AI-driven data insights and analytics platform designed to empower government agencies with advanced data management and analytics capabilities. The platform offers a purpose-built, person-centric SaaS solution that democratizes data access, eliminates reliance on costly consultants, and enables informed decision-making for impactful outcomes in community services. By leveraging AI-powered insights, Mercurio Analytics helps government agencies navigate complex social challenges, uncover root causes, and drive meaningful change through data-driven decision-making and policy creation.

Intuition Robotics is the creator of ElliQ, an AI care companion robot designed for older adults to reduce loneliness, improve health and wellness, and enhance social connectedness. The company focuses on infusing AI with empathy through their proprietary Relationship Orchestrator, which integrates with various LLMs to build ongoing engagement and drive positive outcomes. ElliQ leverages context, multimodality, goals, personalization, and proactivity to create a tailored and effective companion experience for users.

Woebot Health is an AI-driven enterprise solution for mental health that aims to increase access to mental health support and improve business outcomes. It offers in-the-moment mental health support through an app, providing interactive conversations and tools based on elements from Cognitive Behavioral Therapy, Interpersonal Psychotherapy, and Dialectical Behavioral Therapy. Woebot is designed to address equitable access, drive activation and satisfaction, deliver population health insights, and leverage quality scores. It is available for adults and adolescents as a non-prescription tool to develop coping skills for symptoms of anxiety and depression.

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.

One Drop has developed a next-generation intradermal continuous glucose monitoring (CGM) device. Advanced material science, chemistry, and electronics make the One Health CGM among the most innovative body-worn sensors—explicitly designed to meet the needs of people with type 2 diabetes. By integrating proprietary micro-needle technology and AI-enabled precision guidance, the minimally invasive One Health CGM will deliver pain-free, needle-free wear and unprecedented access to a population currently underserved by CGM.

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.

This application utilizes AI technology to simplify the complex process of understanding health insurance policies. Unlike other apps that focus on insurance search and comparison, this app specializes in deciphering the intricate language found in policies. It provides instant access to policy analysis with a one-time payment, empowering users to gain clarity and make informed decisions regarding their health insurance coverage.

HeHealth is an AI-powered application that aims to revolutionize sexual health by providing early detection of sexually transmitted infections (STIs). The application collaborates with public health entities to transform sexual health care delivery at a population level. With over 400 million people contracting STIs globally every year, HeHealth addresses the critical gap of providing timely and confidential sexual health advice. The AI-powered Penis Health Checker offers discreet and efficient prioritization of sexual health, providing instant results in the comfort and privacy of one's home with approximately 94% detection accuracy for visual symptoms. HeHealth is affordable, making it universally accessible to address the global sexual health crisis.

Oatmeal Health is an AI-powered platform that specializes in cancer screening and clinical trials. The platform seamlessly integrates cancer screenings into Community Health Centers, utilizing AI risk assessments, care navigation, and advanced diagnostic screenings to support patients and track outcomes. Oatmeal Health aims to improve patient health, lower the overall cost of cancer care, and generate revenue for healthcare centers through evidence-based care and value-based initiatives.

The website focuses on the intersection of artificial intelligence (AI) and inclusion, exploring the impact of AI technologies on marginalized populations and global digital inequalities. It provides resources, research findings, and ideas on themes like health, education, and humanitarian crisis mitigation. The site showcases the work of the Ethics and Governance of AI initiative in collaboration with the MIT Media Lab, incorporating perspectives from experts in the field. It aims to address challenges and opportunities related to AI and inclusion through research, events, and multi-stakeholder dialogues.

Spot A Bot is an AI tool that estimates the number of bot accounts on Twitter by analyzing Twitter trends. It provides insights into the prevalence of bots on the platform by analyzing current and past trends from different countries. The tool uses a model with 10% accuracy to analyze a total of 142,686 accounts and 3.484 million tweets. Users can track trends, check for bot activity, and gain a better understanding of Twitter's ecosystem.

Wix.com is a website builder platform that allows users to create stunning websites without the need for coding skills. Users can choose from a variety of templates and customize them to suit their needs. The platform offers easy integration of features like e-commerce, blogging, and SEO optimization. Wix.com provides a user-friendly interface and comprehensive support to help individuals and businesses establish their online presence effectively.

Census GPT is an AI tool that provides data analysis services based on census information in the USA. The tool allows users to access data related to crime, demographics, income, education levels, and population. Users can ask specific questions to retrieve detailed information and insights from the available datasets.

MySocialPulse is an AI tool that serves as the Emotion Barometer, providing insights into emotional sentiments of customers, consumers, employees, and the wider population. It offers real-time data analysis to help businesses adjust marketing campaigns on the fly. The tool is designed to unleash the power of Emotional Intelligence Compliance, Stocks & Crypto Intelligence, and Human Intelligence. MySocialPulse enables users to access social pulse data immediately, offering deep insights and emotional sentiments at the heart of the data.

Slatebox is an AI-powered visualization platform that allows users to create editable visualizations from natural language. With Slatebox, users can create mind maps, flowcharts, diagrams, and more, simply by providing a text prompt or URL. Slatebox also offers a variety of templates and features to help users get started, including real-time collaboration, auto-population, and API integration.

Artera is a patient communication platform that offers healthcare solutions to streamline intake and payments, improve patient engagement, and deliver a holistic view of interactions powered by AI. The platform helps healthcare organizations unify digital communications, reach patients efficiently, and drive customer ROI through analytics, automated workflows, and live agent support.

UserCue is an AI-powered market research tool that revolutionizes the way businesses conduct interviews and analyze data. It offers intelligent agents for dynamic AI moderated interviews and analysis at scale, enabling users to interact with up to 1,000 key opinion leaders, industry experts, or target populations in just one hour. With a focus on speed and quality, UserCue provides versatile applications, quick turnaround times, and comprehensive reports, all aimed at delivering valuable insights to clients in a fraction of the time traditionally required for market research.

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.

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.

LLM-Geo is an AI-powered geographic information system (GIS) that leverages Large Language Models (LLMs) for automatic spatial data collection, analysis, and visualization. By adopting LLM as the reasoning core, it addresses spatial problems with self-generating, self-organizing, self-verifying, self-executing, and self-growing capabilities. The tool aims to make spatial analysis easier, faster, and more accessible by reducing manual operation time and delivering accurate results through case studies. It uses GPT-4 API in a Python environment and advocates for further research and development in autonomous GIS.

This repository is a collection of papers on Tabular Large Language Models (LLMs) specialized for processing tabular data. It includes surveys, models, and applications related to table understanding tasks such as Table Question Answering, Table-to-Text, Text-to-SQL, and more. The repository categorizes the papers based on key ideas and provides insights into the advancements in using LLMs for processing diverse tables and fulfilling various tabular tasks based on natural language instructions.

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.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

SharpNEAT is a complete implementation of NEAT written in C# and targeting .NET 9. It provides an implementation of an Evolutionary Algorithm (EA) with the specific goal of evolving a population of neural networks towards solving some goal problem task. The framework facilitates research into evolutionary computation and specifically evolution of neural networks, allowing for modular experimentation with genetic coding and evolutionary algorithms.

AIKA (Artificial Intelligence for Knowledge Acquisition) is a new type of artificial neural network designed to mimic the behavior of a biological brain more closely and bridge the gap to classical AI. The network conceptually separates activations from neurons, creating two separate graphs to represent acquired knowledge and inferred information. It uses different types of neurons and synapses to propagate activation values, binding signals, causal relations, and training gradients. The network structure allows for flexible topology and supports the gradual population of neurons and synapses during training.

This repository is a curated list of papers focused on the detection of Large Language Models (LLMs)-generated content. It includes the latest research papers covering detection methods, datasets, attacks, and more. The repository is regularly updated to include the most recent papers in the field.

Open-LLM-VTuber is a project in early stages of development that allows users to interact with Large Language Models (LLM) using voice commands and receive responses through a Live2D talking face. The project aims to provide a minimum viable prototype for offline use on macOS, Linux, and Windows, with features like long-term memory using MemGPT, customizable LLM backends, speech recognition, and text-to-speech providers. Users can configure the project to chat with LLMs, choose different backend services, and utilize Live2D models for visual representation. The project supports perpetual chat, offline operation, and GPU acceleration on macOS, addressing limitations of existing solutions on macOS.

**Advising App™** is a software solution created by Canyon GBS™ that includes a robust personal assistant designed to support student service professionals in their day-to-day roles. The assistant can help with research tasks, draft communication, language translation, content creation, student profile analysis, project planning, ideation, and much more. The software also includes a student service CRM designed to support the management of prospective and enrolled students. Key features of the CRM include record management, email and SMS, service management, caseload management, task management, interaction tracking, files and documents, and much more.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

This repository contains code for training reward models for Deep Reinforcement Learning-based Reward-modulated Hierarchical Fine-tuning (DRL-based RLHF), Iterative Selection Fine-tuning (Rejection sampling fine-tuning), and iterative Decision Policy Optimization (DPO). The reward models are trained using a Bradley-Terry model based on the Gemma and Mistral language models. The resulting reward models achieve state-of-the-art performance on the RewardBench leaderboard for reward models with base models of up to 13B parameters.

GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. It supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled APIs. The tool generates JUnit tests in Java or Kotlin, focusing on fault detection, self-contained tests, SQL handling, and authentication. Known limitations include manual driver creation for whitebox testing and longer execution times for better results. EvoMaster has been funded by ERC and RCN grants.

This repository contains an AI implementation that learns to play the classic game Snake in the terminal. The AI is built using Rust and Ratatui. Users can clone the repo, run the simulation, and configure various settings to customize the AI's behavior. The project also provides options for minimal UI, training custom networks, and watching the AI complete the game on different board sizes. The developer shares updates and insights about the project on Twitter and plans to create a detailed blog post explaining the AI's workings.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses an Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. The tool supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled languages. It generates JUnit tests, detects faults, handles SQL databases, and supports authentication. EvoMaster has been funded by the European Research Council and the Research Council of Norway.

geriatric

This chatbot answers questions about the CDC’s Chronic Disease Indicators dataset

SALE OF USED CARS. Purchase of cars from the population and organizations

Especialista em Recursos Pesqueiros e Engenharia de Pesca

Especialista em Demografia baseado em dados brasileiros

Your go-to source for in-depth US zip code demographics and statistics, with easy-to-download data tables.

I analyze images to accurately count people.

"Chip" refers to the chip on this bot's shoulder. he's...not friendly. But he's still helpful, even when he's insulting you.

Image recognition app that counts people in a photo.

Expert in populating Word .docx forms with data from other documents, prioritizing accuracy and formal communication.

Expert in all aspects of spectral flow cytometry.

Zoological and informative guide on lions and their conservation.

Expert on elephants, discussing their biology, conservation, and cultural significance.

Assists conservationists in protecting endangered species by analyzing habitat data and suggesting conservation strategies.