Best AI tools for< Improve Patient Care Delivery >

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.

VirtuSense Technologies is a leading provider of fall prevention and remote patient monitoring (RPM) solutions powered by artificial intelligence (AI). Their AI-driven solutions, VSTAlert and VSTBalance, are designed to help healthcare providers reduce falls, improve patient safety, and enhance care delivery. VSTAlert is a fall prevention system that uses AI to detect falls before they happen, reducing the risk of injury and improving patient outcomes. VSTBalance is a balance assessment tool that helps clinicians identify patients at risk of falling and provides personalized exercises to improve their balance and mobility. VirtuSense's solutions integrate with various healthcare systems and are used by hospitals, post-acute care facilities, and ambulatory care centers to improve patient care and reduce costs.

Biofourmis is a healthcare technology company that provides a connected technology platform for care delivery and drug development. The platform enables healthcare systems and pharmaceutical companies to deliver care and conduct clinical trials remotely, and to collect and analyze data to improve patient outcomes. Biofourmis's solutions have been shown to improve clinical, operational, and economic outcomes, such as reducing 30-day readmissions by 70%, detecting deterioration 21 hours sooner, and reducing cost of care by up to 38%.

Radiology Business is an AI tool designed to provide insights and solutions for professionals in the radiology field. The platform covers a wide range of topics including management, imaging, technology, and conferences. It offers news, analysis, and resources to help radiologists stay informed and make informed decisions. Radiology Business aims to leverage artificial intelligence to improve workflow efficiency and enhance the overall experience in the radiology ecosystem.

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.

BigBear.ai is an AI-powered decision intelligence solutions provider that offers services across various industries including Government & Defense, Manufacturing & Warehouse Operations, Healthcare & Life Sciences. They specialize in optimizing operational efficiency, force deployment, supply chain management, autonomous systems management, and vulnerability detection. Their solutions are designed to improve situational awareness, streamline production processes, and enhance patient care delivery settings.

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.

Limbic is a clinical AI application designed for mental healthcare providers to save time, improve outcomes, and maximize impact. It offers a suite of tools developed by a team of therapists, physicians, and PhDs in computational psychiatry. Limbic is known for its evidence-based approach, safety focus, and commitment to patient care. The application leverages AI technology to enhance various aspects of the mental health pathway, from assessments to therapeutic content delivery. With a strong emphasis on patient safety and clinical accuracy, Limbic aims to support clinicians in meeting the rising demand for mental health services while improving patient outcomes and preventing burnout.

Covera Health is a clinical intelligence platform that supports the end-to-end delivery of clinical-grade, AI-powered quality insights for providers and insurers. The platform is seamlessly integrated across the healthcare ecosystem to elevate everything from diagnosis and care coordination to prior authorization and claims administration. Covera Health is certified by AHRQ as a Patient Safety Organization to safeguard access to provider and patient data.

MediNav is an AI-powered medical assistant that learns and reduces documentation time for healthcare professionals. It is more than just a medical dictation software, as it operates based on a complex algorithm that retains, notes, extracts medical information, and continuously learns. The application aims to streamline medical documentation processes, reduce costs associated with administrative tasks, and improve overall efficiency in healthcare settings. MediNav is designed to cater to various medical specialties such as Radiology, Cardiology, Gastroenterology, Pathology, and more, offering benefits like reduced staffing costs, more time for patient care, and faster delivery of imaging results.

VideaHealth is a dental AI platform trusted by dentists and DSOs. It enhances diagnostics and streamlines workflows using clinical AI to identify and convert treatments across major oral conditions. The platform combines practice management system data with AI insights to elevate patient care and empower dental practices. VideaHealth offers advanced FDA-cleared detection algorithms to detect suspect diseases, provides AI-powered insights for data-driven decisions, and delivers real-time chairside assistance to dentists.

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.

KAI Conversations is an AI tool that improves health outcomes by delivering hidden human insights from remote conversations. It provides pioneering pharmaceutical organizations with marketing and SFE insights to better understand the needs of HCPs and increase market access. KAI also focuses on improving patient outcomes to keep patients out of acute care channels and enhance HCPs' emotional intelligence. The tool offers customer insights, Salesforce effectiveness monitoring, healthcare services, and coaching services to identify learning and development opportunities.

CloudMedx is a healthcare data platform that provides aggregation, automation, and AI solutions. It simplifies decision making for patients, providers, and payers with a single powerful platform. Clinical, operations, and financial results are coordinated and delivered like never before.

Medical Brain is an AI-powered clinical assistant designed for both patients and providers. It engages with users to identify health risks and care gaps early, providing actionable insights and guidance to improve outcomes and intercept high-cost ER visits. The platform monitors patients 24/7, aggregates and understands all patient data, and generates real-time actions based on AI clinical decision support and automation. Medical Brain incorporates evidence-based best practices in various clinical modules and continuously learns from user experiences to enhance efficiency and intelligence.

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.

HEAPS is a health tech SAAS platform that leverages advanced data analytics, artificial intelligence, and machine learning to revolutionize healthcare delivery and payment models. It creates a 'Healthcare Network' and a 'Value Based Care' model, optimizing care management for insurers, hospitals, corporates, and patients. Founded in 2020 by Dr. Suman Katragadda, HEAPS has rapidly evolved to become a transformational leader in the health tech space in India, expanding into the North American market. The platform offers holistic health care management and coordination systems, improving efficiency, effectiveness, and deliverability for all stakeholders through AI-driven data analytics and real-time guidance.

Freed is an AI scribe tool designed to assist clinicians in transcribing and writing notes efficiently. It integrates with Electronic Health Records (EHR) systems and offers tailored clinical notes in various medical specialties. Freed saves clinicians time, enhances patient care, and improves work-life balance by automating note-taking processes. The tool is loved by over 17,000 clinicians and trusted by 650+ health organizations, providing accurate and secure medical documentation.

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, tools for emotional regulation, mood monitoring, and management. Woebot is not generative AI but rules-based, incorporating elements from Cognitive Behavioral Therapy, Interpersonal Psychotherapy, and Dialectical Behavioral Therapy. The platform also includes data analytics to aggregate insights for clinicians and increase visibility beyond traditional care settings.

AiSOAP is a cutting-edge AI medical scribe application that revolutionizes the process of creating SOAP notes for healthcare professionals. It records, transcribes, and generates customized SOAP notes, significantly reducing documentation time by up to 95%. AiSOAP offers a seamless integration with EHR/EMR systems, allowing clinicians to focus more on providing compassionate care to patients or reclaiming their time for personal activities.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

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.

AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.

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, ...

Greenplum Database (GPDB) is an advanced, fully featured, open source data warehouse, based on PostgreSQL. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes.

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.

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.

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.

A toolkit for agent autonomy, evolution, and governance enabling agents to learn from experience, collaborate, communicate, and build new tools within governance guardrails. It focuses on autonomous evolution, agent self-discovery, governance firmware, self-building systems, and agent-centric architecture. The toolkit leverages existing frameworks to enable agent autonomy and self-governance, moving towards truly autonomous AI systems.

VedAstro is an open-source Vedic astrology tool that provides accurate astrological predictions and data. It offers a user-friendly website, a chat API, an open API, a JavaScript SDK, a Swiss Ephemeris API, and a machine learning table generator. VedAstro is free to use and is constantly being updated with new features and improvements.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

ShortGPT is a powerful framework for automating content creation, simplifying video creation, footage sourcing, voiceover synthesis, and editing tasks. It offers features like automated editing framework, scripts and prompts, voiceover support in multiple languages, caption generation, asset sourcing, and persistency of editing variables. The tool is designed for youtube automation, Tiktok creativity program automation, and offers customization options for efficient and creative content creation.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

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.

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.

Professional advice for healthcare managers

Specialising in pharmaceutical research, medical science, and biotech

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Your Anatomy Tutor: Assisting with key concepts, study plans and practice questions!

I can help you with healthcare UX design

Insights on AI in healthcare and wellness

A guide for Therapists in Person-centered or students in this field, aimed at assisting in patient sessions, providing literature suggestions, and offering reflections on the clinical interventions of users.

Expert in healthcare data analysis, coding, and clinical trials.

Expert in orthopaedic practice management and strategy

Facilitates personal brand development with a patient, step-by-step approach.

Educational guide for homework and test prep, patient and interactive.

Expert AI Doctor with up to date medical resources and textbooks to help improve your clinical skills.

专业耐心的外贸CEO顾问。

Expert on marketing to foreign patients in Korea

Aids in informatics for nurses and midwives.

Write Excellent Medical Notes

Assists in patent idea exploration and creation.

Provides information on acupuncture for patients and practitioners.

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