Best AI tools for< Informatics Nurse >

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.

Bot MD is an AI clinical assistant application that provides instant hospital information search, automates patient monitoring and care, and integrates with a wide range of hospital systems. It is used by thousands of doctors and nurses worldwide to streamline workflows, improve patient care, and enhance communication. The AI chat assistant helps healthcare professionals access clinical information quickly and efficiently, saving time and improving patient outcomes.

Eczemaless is an AI-powered eczema management app that helps users track and manage their condition. The app offers a variety of features, including eczema severity scoring, real-time weather alerts, food tracking, user-friendly graphs, and customized care routines. Eczemaless is available in five languages and has been downloaded over 15,000 times.

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.

Mediscribe Pro is an AI-powered medical scribe and documentation tool designed for healthcare professionals. It utilizes advanced medical language models and artificial intelligence to generate medical dictations, transcriptions, and chart notes. Mediscribe Pro is HIPAA and PIPEDA compliant, ensuring the security and privacy of user data. The tool offers a range of features to streamline medical documentation, including a library of 100+ medical templates, voice-activated note-taking, and seamless integration with existing EMR systems. Mediscribe Pro is designed to reduce administrative burden, improve efficiency, and enhance patient care by allowing clinicians to spend more time with patients and focus on providing quality care.

Ubie is a medical AI tool that offers a symptom checker to help users identify possible causes of their symptoms. Developed by doctors, Ubie's AI-powered system generates personalized reports based on a 3-minute questionnaire. The tool considers personal information like biological sex, age, and medical history to provide relevant suggestions. Ubie aims to provide quality and safety by collaborating with medical professionals and institutions worldwide.

Medical Chat is an advanced AI assistant designed for healthcare professionals, providing instant and accurate medical answers for both human and veterinary medicine. Its capabilities include diagnosing medical conditions, generating differential diagnosis reports, creating patient-specific clinic plans, and offering comprehensive drug information. Medical Chat utilizes the latest LLM models, including ChatGPT 3.5 and 4.0, to deliver reliable and up-to-date medical knowledge. The platform also features a vast database of professional medical textbooks, veterinary books, and PubMed articles, ensuring evidence-based responses. With its HIPAA compliance and commitment to data privacy, Medical Chat empowers healthcare providers to enhance their diagnostic capabilities and improve patient outcomes.

Soula is an AI assistant for female wellbeing, offering 24/7 psycho-emotional and informational support for pregnancy, childbirth, and motherhood. It is a female-founded AI-driven virtual assistant that provides evidence-based care and personalized guidance to empower women at every stage of their journey. Soula aims to democratize access to top human expertise and create a safe space for women to prevent anxiety, burnout, and depression.

Painfinder.co is a website that provides resources and information related to pain management. The webpage seems to be a placeholder generated by the domain owner using Sedo Domain Parking. It does not offer any specific tools or applications for pain management but rather serves as a platform for potential future content related to pain relief and treatment.

Leny.ai is an AI-powered medical assistant designed to provide instant support to medical professionals and patients. It offers features such as differential diagnosis, treatment plan drafting, discharge instructions, referral letters, and lab value analysis. Leny.ai aims to streamline healthcare processes, save time, and provide reliable and accurate medical information. The platform is still in beta mode and continuously improving to offer more accurate responses. It is focused on data security and privacy, although not currently HIPAA compliant. Leny.ai is free of charge at present and plans to transition to a subscription-based model in the future.

mapEDU is an AI-powered curriculum mapping and exam tagging software designed specifically for healthcare professions schools. It uses natural language processing and machine learning to automatically extract relevant MeSH tags from existing digital content, map events/courses/programs with outcomes, and auto-tag exam questions. This provides healthcare professions schools with objective, actionable data to improve curriculum design, validate revisions, and enhance student performance analytics.

The Library Innovation Lab at Harvard University is an AI tool that focuses on bringing library principles to technological frontiers. It is a forward-looking group working at the intersection of libraries, technology, and law. The lab aims to democratize open knowledge and explore the use of generative AIs in information access and law. They offer various projects like Caselaw Access Project, H2O, The Nuremberg Project, Perma.cc, Alterspace, and Time Capsule Encryption to achieve their goals.

The Max Planck Institute for Informatics focuses on Visual Computing and Artificial Intelligence, conducting research at the intersection of Computer Graphics, Computer Vision, and AI. The institute aims to develop innovative ways to capture, represent, synthesize, and simulate real-world models with high detail, robustness, and efficiency. By combining concepts from Computer Graphics, Computer Vision, and Machine Learning, the institute lays the groundwork for advanced methods to better perceive and interpret the complex real world. The research conducted here is essential for the development of future intelligent computing systems that interact with humans and the environment intuitively and safely.

InformAI is a technology company dedicated to advancing healthcare through the development of AI-driven solutions. We focus on crafting high-quality, AI-driven enterprise software solutions that address specific clinical needs. We target critical medical fields including radiology, radiation oncology, and high acuity informatics. Our portfolio, featuring our flagship RadOncAI and our development pipeline products of SinusAI and TransplantAI, is designed to deliver impactful solutions that enhance healthcare quality, safety and efficiency.

JMIR AI is a new peer-reviewed journal focused on research and applications for the health artificial intelligence (AI) community. It includes contemporary developments as well as historical examples, with an emphasis on sound methodological evaluations of AI techniques and authoritative analyses. It is intended to be the main source of reliable information for health informatics professionals to learn about how AI techniques can be applied and evaluated.

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.

Abridge is an enterprise-grade AI platform for clinical conversations, integrated directly inside Epic. It transforms patient-clinician conversations into structured clinical notes in real-time, powered by advanced generative AI technology. Abridge saves hours of time-consuming documentation per clinician every month, provides clinically accurate summaries and medical terms across specialties, recognizes and takes accurate notes across a wide range of languages, and creates complete, highly accurate, structured clinical note drafts. The platform aims to return time to healthcare teams, clarity to patients, and efficiencies to healthcare systems, ultimately reducing burnout among clinicians.

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.

Suki Assistant is an enterprise-grade AI assistant designed to help clinicians save time and focus on patient care. It offers ambient documentation, dictation, ICD-10 and HCC coding, and question answering capabilities. Suki has deep integrations with major EHR systems, ensuring seamless data flow. The AI is designed to prioritize safety and accuracy, with clinician-reviewed content before integration. Suki provides hassle-free partnerships, proven ROI, and advanced EHR integrations, making it a trusted choice for health systems nationwide.

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.

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 is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

MoonPalace is a debugging tool for API provided by Moonshot AI. It supports all platforms (Mac, Windows, Linux) and is simple to use by replacing 'base_url' with 'http://localhost:9988'. It captures complete requests, including 'accident scenes' during network errors, and allows quick retrieval and viewing of request information using 'request_id' and 'chatcmpl_id'. It also enables one-click export of BadCase structured reporting data to help improve Kimi model capabilities. MoonPalace is recommended for use as an API 'supplier' during code writing and debugging stages to quickly identify and locate various issues related to API calls and code writing processes, and to export request details for submission to Moonshot AI to improve Kimi model.

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.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

OpenNARS-for-Applications is an implementation of a Non-Axiomatic Reasoning System, a general-purpose reasoner that adapts under the Assumption of Insufficient Knowledge and Resources. The system combines the logic and conceptual ideas of OpenNARS, event handling and procedure learning capabilities of ANSNA and 20NAR1, and the control model from ALANN. It is written in C, offers improved reasoning performance, and has been compared with Reinforcement Learning and means-end reasoning approaches. The system has been used in real-world applications such as assisting first responders, real-time traffic surveillance, and experiments with autonomous robots. It has been developed with a pragmatic mindset focusing on effective implementation of existing theory.

LLamaSharp is a cross-platform library to run 🦙LLaMA/LLaVA model (and others) on your local device. Based on llama.cpp, inference with LLamaSharp is efficient on both CPU and GPU. With the higher-level APIs and RAG support, it's convenient to deploy LLM (Large Language Model) in your application with LLamaSharp.

A chat interface using open source models, eg OpenAssistant or Llama. It is a SvelteKit app and it powers the HuggingChat app on hf.co/chat.

pgai simplifies the process of building search and Retrieval Augmented Generation (RAG) AI applications with PostgreSQL. It brings embedding and generation AI models closer to the database, allowing users to create embeddings, retrieve LLM chat completions, reason over data for classification, summarization, and data enrichment directly from within PostgreSQL in a SQL query. The tool requires an OpenAI API key and a PostgreSQL client to enable AI functionality in the database. Users can install pgai from source, run it in a pre-built Docker container, or enable it in a Timescale Cloud service. The tool provides functions to handle API keys using psql or Python, and offers various AI functionalities like tokenizing, detokenizing, embedding, chat completion, and content moderation.

GPT4DFCI is a private and secure generative AI tool based on GPT-4, deployed for non-clinical use at Dana-Farber Cancer Institute. The tool is overseen by the Dana-Farber AI Governance Committee and developed by the Dana-Farber Informatics & Analytics Department. The repository includes manuscript & policy details, training material, front-end and back-end code, infrastructure information, API client for programmatic use, licensing details, and contact information.

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.

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.

Me LLaMA introduces a suite of open-source medical Large Language Models (LLMs), including Me LLaMA 13B/70B and their chat-enhanced versions. Developed through innovative continual pre-training and instruction tuning, these models leverage a vast medical corpus comprising PubMed papers, medical guidelines, and general domain data. Me LLaMA sets new benchmarks on medical reasoning tasks, making it a significant asset for medical NLP applications and research. The models are intended for computational linguistics and medical research, not for clinical decision-making without validation and regulatory approval.

This repository is dedicated to summarizing papers related to large language models with the field of law. It includes applications of large language models in legal tasks, legal agents, legal problems of large language models, data resources for large language models in law, law LLMs, and evaluation of large language models in the legal domain.

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 tool is designed to detect and classify Alzheimer's Disease using Deep Learning and Machine Learning algorithms on an early basis, which is further optimized using the Crow Search Algorithm (CSA). Alzheimer's is a fatal disease, and early detection is crucial for patients to predetermine their condition and prevent its progression. By analyzing MRI scanned images using Artificial Intelligence technology, this tool can classify patients who may or may not develop AD in the future. The CSA algorithm, combined with ML algorithms, has proven to be the most effective approach for this purpose.

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.

Aids in informatics for nurses and midwives.

Informative guide on nursing and nurse training

informative chatbot on Pneumonia Treatment and Prevention.

Your AI Nursing Mentor

Medication expert assisting with drug information

Assists with orthopaedic information and explanations, avoids medical advice.

Provides info on skin rashes, their causes, types, and remedies in an informative tone.

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.

Informative companion on senior living and elderly care

Informative guide on assisted living for older adults

Workers Compensation helper for clinicians: policies, offering professional, informative guidance.

Informative guide on hydration and health-oriented advice.

Informative and health-focused expert on lead testing methods and tools.

Your go-to source for evidence-based surgical information.

Medical expert on melanoma, informative and detailed.

Supportive and informative guide on senior care and aging.

Precise medical information, based on 🩺

Nephrology expert providing detailed kidney health information.

Le GPT custom de Sclépios IA analyse les ordonnances et répond aux interrogations sur les médicaments rapidement et avec précision. Visitez sclepios-mobile.com pour plus d'informations et pour accéder à l'application mobile.

The latest on diabetes procedures, treatment and medications. We offer up to date updates and information when you cannot readily visit a doctor.