Best AI tools for< Improve Diagnosis Accuracy >

NeuProScan is an AI platform designed for the early detection of pre-clinical Alzheimer's from MRI scans. It helps doctors improve the accuracy of MRI diagnosis, enabling the identification of individuals likely to develop Alzheimer's years in advance. The platform is fully customizable, user-friendly, and can be used by individual doctors and big hospitals. By predicting the likelihood of developing Alzheimer's, NeuProScan optimizes the use of costly PET scans, benefiting patients and healthcare systems.

Lunit Inc. is a leading provider of AI-powered cancer screening and treatment solutions. The company's mission is to conquer cancer through AI by developing innovative technologies that can help detect and treat cancer earlier and more effectively. Lunit's AI solutions are used by hospitals and clinics around the world to improve the accuracy and efficiency of cancer diagnosis and treatment.

NVIDIA is a world leader in artificial intelligence computing. The company's products and services are used by businesses and governments around the world to develop and deploy AI applications. NVIDIA's AI platform includes hardware, software, and tools that make it easy to build and train AI models. The company also offers a range of cloud-based AI services that make it easy to deploy and manage AI applications. NVIDIA's AI platform is used in a wide variety of industries, including healthcare, manufacturing, retail, and transportation. The company's AI technology is helping to improve the efficiency and accuracy of a wide range of tasks, from medical diagnosis to product design.

HeHealth is an AI-powered application that aims to revolutionize sexual health by providing early detection of sexually transmitted infections (STIs). The platform collaborates with public health entities to improve sexual health care delivery at a population level. With over 400 million people contracting STIs globally each year, HeHealth addresses the critical gap in accessing timely and confidential sexual health advice. The application offers a discreet and efficient AI-powered Penis Health Checker, 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.

Proscia is a leading provider of digital pathology solutions for the modern laboratory. Its flagship product, Concentriq, is an enterprise pathology platform that enables anatomic pathology laboratories to achieve 100% digitization and deliver faster, more precise results. Proscia also offers a range of AI applications that can be used to automate tasks, improve diagnostic accuracy, and accelerate research. The company's mission is to perfect cancer diagnosis with intelligent software that changes the way the world practices pathology.

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.

Glass is an AI-powered clinical decision support platform that empowers clinicians by providing differential diagnoses and drafting clinical plans based on patient summaries. The platform combines a large language model with evidence-based clinical guidelines to assist clinicians in making informed decisions. Glass Health aims to optimize the practice of medicine, improve patient care, increase diagnostic accuracy, implement evidence-based treatment, enhance medical education, eliminate burnout, accelerate health equity, and improve patient outcomes globally.

The website OpenLife.ai is an AI tool that focuses on various aspects of healthcare, including medical AI, ambient clinical intelligence, clinical documentation integrity, healthcare analytics, patient engagement, radiology solutions, and more. It offers insights, news, and resources related to the application of artificial intelligence in the healthcare industry.

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.

Regard is an AI-powered healthcare solution that automates clinical tasks, making it easier for clinicians to focus on patient care. It integrates with the EHR to analyze patient records and provide insights that can help improve diagnosis and treatment. Regard has been shown to improve hospital finances, patient safety, and physician happiness.

Plant Aid is an AI tool designed to diagnose sickly plants in just 2 minutes. By taking 2-3 photos and describing the symptoms of your plant, the AI analyzes the data across millions of plants to provide expert diagnosis and personalized care plans. Plant Aid offers quick and easy-to-understand solutions to help you diagnose your plant fast and make it healthy. It is a user-friendly platform that aims to assist plant owners in maintaining the well-being of their plants with expert guidance.

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.

Butterfly iQ3 is a handheld, whole-body ultrasound device that provides clear and detailed images for a variety of medical applications. It is the third-generation probe from Butterfly Network, and it features double the processing power and clearer images than its predecessors. Butterfly iQ3 is also equipped with real-time AI, which can help clinicians to identify and diagnose medical conditions more quickly and accurately. The device is lightweight and portable, making it easy to use in a variety of settings, including the clinic, the hospital, and the field. Butterfly iQ3 is a valuable tool for clinicians who want to improve the quality of care they provide to their patients.

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.

Viz.ai is a leading provider of AI-powered care coordination solutions for healthcare providers. Its comprehensive platform leverages advanced algorithms to analyze medical imaging data, providing real-time insights and automated assessments to accelerate diagnosis and treatment. Viz.ai's solutions cover a wide range of therapeutic areas, including neurology, cardiology, vascular medicine, trauma, and radiology. The company's mission is to improve patient outcomes by closing the gaps between patients, clinicians, and life-saving treatments.

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.

Viz.ai is an AI-powered care coordination platform that helps providers improve patient outcomes. The platform uses advanced algorithms to analyze medical imaging data and provide real-time insights and automated assessments to accelerate diagnosis and treatment. Viz.ai's solutions are used by hospitals and health systems across the country to improve care for patients with a variety of conditions, including stroke, heart disease, and cancer.

GaitAnalyzer.health is a web application designed to analyze and assess human gait patterns for healthcare professionals and researchers. The tool utilizes advanced algorithms to process gait data captured through various sensors and cameras, providing valuable insights into gait abnormalities and potential musculoskeletal issues. Users can upload gait analysis videos or data files to the platform, which then generates detailed reports and visualizations for further evaluation and diagnosis. GaitAnalyzer.health aims to enhance the understanding of human movement patterns and improve the quality of care in the field of biomechanics and physical therapy.

Tempus is an AI-enabled precision medicine company that brings the power of data and artificial intelligence to healthcare. With the power of AI, Tempus accelerates the discovery of novel targets, predicts the effectiveness of treatments, identifies potentially life-saving clinical trials, and diagnoses multiple diseases earlier. Tempus' innovative technology includes ONE, an AI-enabled clinical assistant; NEXT, which identifies and closes gaps in care; LENS, which finds, accesses, and analyzes multimodal real-world data; and ALGOS, algorithmic models connected to Tempus' assays to provide additional insight.

Subtle Medical develops vendor-neutral software solutions that improve image quality on regular and accelerated image protocols, allowing radiologists to expedite patient care. Their AI solutions for MRI and PET reduce image noise and increase image sharpness, leading to improved diagnostic confidence and a better patient experience. Subtle Medical's software seamlessly integrates with all scanners and clients, supporting both cloud and on-prem deployment. It processes images within seconds, fitting seamlessly into existing workflows.

The LLM RAG Workshop repository provides a workshop on using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to generate and understand text in a human-like manner. It includes instructions on setting up the environment, indexing Zoomcamp FAQ documents, creating a Q&A system, and using OpenAI for generation based on retrieved information. The repository focuses on enhancing language model responses with retrieved information from external sources, such as document databases or search engines, to improve factual accuracy and relevance of generated text.

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, ...

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 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.

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.

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.

BasicLingua is a Python library that provides functionalities for linguistic tasks such as tokenization, stemming, lemmatization, and many others. It is based on the Gemini Language Model, which has demonstrated promising results in dealing with text data. BasicLingua can be used as an API or through a web demo. It is available under the MIT license and can be used in various projects.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

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.

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.

EDA GPT is an open-source data analysis companion that offers a comprehensive solution for structured and unstructured data analysis. It streamlines the data analysis process, empowering users to explore, visualize, and gain insights from their data. EDA GPT supports analyzing structured data in various formats like CSV, XLSX, and SQLite, generating graphs, and conducting in-depth analysis of unstructured data such as PDFs and images. It provides a user-friendly interface, powerful features, and capabilities like comparing performance with other tools, analyzing large language models, multimodal search, data cleaning, and editing. The tool is optimized for maximal parallel processing, searching internet and documents, and creating analysis reports from structured and unstructured data.

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Simulates medical scenarios for advanced training.

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2人の方の価値観分析機能、及び相性診断機能を、提供します。また、対話内容を基に、ChatGPT(GPT-4)向けの、汎用的な質問文例も作成できます。

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Expert Speech-Language Pathologist offering tailored medical consultations.

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Insights on AI in healthcare and wellness

A medical guide on blood pressure and its aspects.

Aquarium advisor for every level of expertise.

Discuss AI and Theory of Mind with Clinical Psychologist Dr. Tamara Russel PHD and AI Expert Cris Ippolite

Experto en interpretar y explicar resultados de laboratorios medicos

Gives you tips and suggestions on how you can improve your application for your users.

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