Best AI tools for< Assess Patients >

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.

iCAD is an AI-powered application designed for cancer detection, specifically focusing on breast cancer. The platform offers a suite of solutions including Detection, Density Assessment, and Risk Evaluation, all backed by science, clinical evidence, and proven patient outcomes. iCAD's AI-powered solutions aim to expose the hiding place of cancer, providing certainty and peace of mind, ultimately improving patient outcomes and saving more lives.

Modality.AI is an AI application that has developed an automated, clinically validated system to assess neurological and psychiatric states both in clinic and remotely. The platform utilizes conversational AI to monitor conditions accurately and consistently, allowing researchers and clinicians to review data in near real-time and monitor treatment response over time. Modality.AI collaborates with world-class AI/Machine Learning experts and leading institutions to provide a HIPAA-compliant system for assessing various indications such as ALS, Parkinson's, depression, autism, Huntington's Disease, schizophrenia, and mild cognitive impairment. The platform enables convenient monitoring at home through streaming and analysis of speech and facial responses, without the need for special software or apps. Modality.AI is accessible on various devices with a browser, webcam, and microphone, offering a new approach to efficient and cost-effective clinical trials.

Cleerly is a digital healthcare company transforming the way clinicians approach the treatment of heart disease. Our clinically-proven, AI-based digital care platform works with coronary computed tomography angiography (CCTA) imaging to help clinicians precisely identify and define atherosclerosis earlier, so they can provide personalized, life-saving treatment plans for all patients throughout their care continuum. We measure atherosclerosis - plaque build-up in the heart's arteries - not indirect markers such as risk factors and symptoms of disease. Our AI-enabled digital care pathway offers simpler, faster, more accurate heart disease evaluation and reporting that's tailored to each stakeholder, improving overall clinical and financial outcomes.

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.

Caption Care provides accessible cardiac ultrasounds to detect heart disease earlier, when it's easier and more cost-effective to manage. The result: better patient outcomes, more accurate risk scoring, and reduced downstream costs.

Azyri is an AI-powered medical assistant that provides bone age assessment services to healthcare professionals, students, and AI enthusiasts. It offers free access to its AI-based bone age estimation tool, allowing users to obtain an estimate of a patient's bone age from a simple X-ray image. Azyri's mission is to make bone age assessment more accessible and efficient, empowering healthcare providers with valuable insights for patient care.

Questel is a world leader providing end-to-end, AI-enabled and integrated solutions for Intellectual Property and Innovation Management. The platform offers a range of solutions including Patent, Trademark, Innovation, Legal Operations, and Localization services. Questel's software and services are designed to streamline IP strategy, enhance corporate training programs, and provide valuable content to support users in managing their intellectual assets effectively.

IXICO is a precision analytics company specializing in intelligent insights in neuroscience. They offer a range of services for drug development analytics, imaging operations, and post-marketing consultancy. With a focus on technology and innovation, IXICO provides expertise in imaging biomarkers, radiological reads, volumetric MRI, PET & SPECT, and advanced MRI. Their TrialTracker platform and Assessa tool utilize innovation and AI for disease modeling and analysis. IXICO supports biopharmaceutical companies in CNS clinical research with cutting-edge neuroimaging techniques and AI technology.

Assessment Systems is an online testing platform that provides cost-effective, AI-driven solutions to develop, deliver, and analyze high-stakes exams. With Assessment Systems, you can build and deliver smarter exams faster, thanks to modern psychometrics and AI like computerized adaptive testing, multistage testing, or automated item generation. You can also deliver exams flexibly: paper, online testing unproctored, online proctored, and test centers (yours or ours). Assessment Systems also offers item banking software to build better tests in less time, with collaborative item development brought to life with versioning, user roles, metadata, workflow management, multimedia, automated item generation, and much more.

The website offers an AI tool to assess hair loss using the Norwood scale and Diffuse scale. Users can access the tool by pressing a button to use their camera. The tool provides a quick and convenient way to track the evolution of hair loss. Additionally, users can opt for a professional hair check by experts for a fee of $19, ensuring privacy as photos are not stored online. The tool is user-friendly and can be used in portrait mode for optimal experience.

Loupe Recruit is an AI-powered talent assessment platform that helps recruiters and hiring managers assess job descriptions and talent faster and more efficiently. It uses natural language processing and machine learning to analyze job descriptions and identify the key skills and experience required for a role. Loupe Recruit then matches candidates to these requirements, providing recruiters with a ranked list of the most qualified candidates. The platform also includes a variety of tools to help recruiters screen and interview candidates, including video interviewing, skills assessments, and reference checks.

MyLooks AI is an AI-powered tool that allows users to assess their attractiveness based on a quick selfie upload. The tool provides instant feedback on the user's appearance and offers personalized improvement tips to help them enhance their looks. Users can track their progress with advanced AI-powered coaching and receive easy guidance to boost their confidence. MyLooks AI aims to help individuals feel more confident and improve their self-image through the use of artificial intelligence technology.

Modulos is a Responsible AI Platform that integrates risk management, data science, legal compliance, and governance principles to ensure responsible innovation and adherence to industry standards. It offers a comprehensive solution for organizations to effectively manage AI risks and regulations, streamline AI governance, and achieve relevant certifications faster. With a focus on compliance by design, Modulos helps organizations implement robust AI governance frameworks, execute real use cases, and integrate essential governance and compliance checks throughout the AI life cycle.

Intelligencia AI is a leading provider of AI-powered solutions for the pharmaceutical industry. Our suite of solutions helps de-risk and enhance clinical development and decision-making. We use a combination of data, AI, and machine learning to provide insights into the probability of success for drugs across multiple therapeutic areas. Our solutions are used by many of the top global pharmaceutical companies to improve their R&D productivity and make more informed decisions.

Graphio is an AI-driven employee scoring and scenario builder tool that leverages continuous, real-time scoring with AI agents to assess potential, predict flight risks, and identify future leaders. It replaces subjective evaluations with AI-driven insights to ensure accurate, unbiased decisions in talent management. Graphio uses AI to remove bias in talent management, providing real-time, data-driven insights for fair decisions in promotions, layoffs, and succession planning. It offers compliance features and rules that users can control, ensuring accurate and secure assessments aligned with legal and regulatory requirements. The platform focuses on security, privacy, and personalized coaching to enhance employee engagement and reduce turnover.

The website offers content moderation and image analysis products using powerful APIs to automatically assess, filter, and moderate images, videos, and text. It provides features such as image moderation, video moderation, text moderation, AI image detection, and video anonymization. The application helps in detecting unwanted content, AI-generated images, and personal information in videos. It also offers tools to identify near-duplicates, spam, and abusive links, and prevent phishing and circumvention attempts. The platform is fast, scalable, accurate, easy to integrate, and privacy compliant, making it suitable for various industries like marketplaces, dating apps, and news platforms.

Horizon3.ai Solutions offers the NodeZero™ Platform, an AI-powered autonomous penetration testing tool designed to enhance cybersecurity measures. The platform combines expert human analysis by Offensive Security Certified Professionals with automated testing capabilities to streamline compliance processes and proactively identify vulnerabilities. NodeZero empowers organizations to continuously assess their security posture, prioritize fixes, and verify the effectiveness of remediation efforts. With features like internal and external pentesting, rapid response capabilities, AD password audits, phishing impact testing, and attack research, NodeZero is a comprehensive solution for large organizations, ITOps, SecOps, security teams, pentesters, and MSSPs. The platform provides real-time reporting, integrates with existing security tools, reduces operational costs, and helps organizations make data-driven security decisions.

Archistar is a leading property research platform in Australia that empowers users to make confident and compliant property decisions with the help of data and AI. It offers a range of features, including the ability to find and assess properties, generate 3D design concepts, and minimize risk and maximize return on investment. Archistar is trusted by over 100,000 individuals and 1,000 leading property firms.

FairPlay is a Fairness-as-a-Service solution designed for financial institutions, offering AI-powered tools to assess automated decisioning models quickly. It helps in increasing fairness and profits by optimizing marketing, underwriting, and pricing strategies. The application provides features such as Fairness Optimizer, Second Look, Customer Composition, Redline Status, and Proxy Detection. FairPlay enables users to identify and overcome tradeoffs between performance and disparity, assess geographic fairness, de-bias proxies for protected classes, and tune models to reduce disparities without increasing risk. It offers advantages like increased compliance, speed, and readiness through automation, higher approval rates with no increase in risk, and rigorous Fair Lending analysis for sponsor banks and regulators. However, some disadvantages include the need for data integration, potential bias in AI algorithms, and the requirement for technical expertise to interpret results.

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.

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.

AI Hospital is a research repository focusing on the interactive evaluation and collaboration of Large Language Models (LLMs) as intern doctors for clinical diagnosis. The repository includes a simulation module tailored for various medical roles, introduces the Multi-View Medical Evaluation (MVME) Benchmark, provides dialog history documents of LLMs, replication instructions, performance evaluation, and guidance for creating intern doctor agents. The collaborative diagnosis with LLMs emphasizes dispute resolution. The study was authored by Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xie, Fei Huang, and Jingren Zhou.

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.

Awesome-llm-role-playing-with-persona is a curated list of resources for large language models for role-playing with assigned personas. It includes papers and resources related to persona-based dialogue systems, personalized response generation, psychology of LLMs, biases in LLMs, and more. The repository aims to provide a comprehensive collection of research papers and tools for exploring role-playing abilities of large language models in various contexts.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

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.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

KG-RAG (Knowledge Graph-based Retrieval Augmented Generation) is a task agnostic framework that combines the explicit knowledge of a Knowledge Graph (KG) with the implicit knowledge of a Large Language Model (LLM). KG-RAG extracts "prompt-aware context" from a KG, which is defined as the minimal context sufficient enough to respond to the user prompt. This framework empowers a general-purpose LLM by incorporating an optimized domain-specific 'prompt-aware context' from a biomedical KG. KG-RAG is specifically designed for running prompts related to Diseases.

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.

OpenAGI is a framework designed to make the development of autonomous human-like agents accessible to all. It aims to pave the way towards open agents and eventually AGI for everyone. The initiative strongly believes in the transformative power of AI and offers developers a platform to create autonomous human-like agents. OpenAGI features a flexible agent architecture, streamlined integration and configuration processes, and automated/manual agent configuration generation. It can be used in education for personalized learning experiences, in finance and banking for fraud detection and personalized banking advice, and in healthcare for patient monitoring and disease diagnosis.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

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, ...

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

Public nursing assessment & education bot

GPT aiding on DSM-5-TR psychological assessment, search, debate and analysis. With educational purpose, of course.

Automated solution for effortless radiological calculations and interpretations.

Helps nursing students with patient assessments post-surgery.

Je réponds efficacement à vos questions sur les tests orthopédiques.

Assess a potential home's quality using your own photos and property inspection reports

Assess your company's real appetite for new technologies or new ways of working methods

Assess the TRL of your projects, get ideas for specific TRLs, learn how to advance from one TRL to the next

Empowers leaders to gauge and enhance company culture. Use advanced analytics to assess, report, and develop a thriving workplace culture. 🚀💼📊

Upload a site photo to assess the potential hazard and seek advises from experience AI Safety Officer

Assess the level of English

I critically assess business ideas with witty feedback.

Analyzes financial data to assess creditworthiness, aiding in lending decisions and solutions.

Starts with a quiz to assess your personality across 10 dating-related areas, crafts a custom development road-map, and coaches you towards finding a fulfilling relationship.

Create comprehension questions based on a shared text. These questions will be designed to assess understanding at different levels of Bloom's taxonomy, from basic recall to more complex analytical and evaluative thinking skills.

I analyze WhatsApp/Telegram and email conversations to assess the tone of their emotions and read between the lines. Upload your screenshot and I'll tell you what they are really saying! 😀

Web Vulnerability Academy (WVA) is an interactive tutor designed to introduce users to web vulnerabilities while also providing them with opportunities to assess and enhance their knowledge through testing.

Predict the future, opine on politics and controversial topics, and have GPT assess what is "true"

Conversational and informative exit ticket generator.