Best AI tools for< Physician >

Augmedix is a leading provider of AI-powered medical documentation solutions for healthcare systems, physician practices, and hospitals. Its products, including Augmedix Go, Augmedix Live, Augmedix Go Assist, and Augmedix Prep, leverage ambient AI technology to convert natural clinician-patient conversations into structured medical notes in real time. Augmedix aims to enhance the clinician-patient relationship by reducing documentation burden, improving productivity, and increasing patient satisfaction.

Nabla is a leading ambient AI assistant designed to free clinicians from the burden of documentation. It saves clinicians 2 hours per day per provider by streamlining clinical documentation, allowing them to focus on patient care. With over 30,000 clinicians loving the application, Nabla provides detailed, accurate, and HIPAA-compliant visit or phone documentation in under a minute. The AI transcribe program is easy, convenient, and removes non-medical conversation, making it an indispensable tool for medical practitioners across various specialties.

DeepScribe is an AI medical scribe application that leverages advanced speech recognition technology to capture clinical conversations with extreme accuracy. It empowers clinicians and health systems with real-time AI insights, offers customization options to match provider workflows, and ensures trust and safety through features that promote AI transparency. DeepScribe is designed to save time, improve accuracy, drive adoption, and maximize revenue for doctors, hospitals, and health systems. The application is built for enterprise use, allowing users to unlock the power of AI and modernize their patient data strategy.

Sully.ai is the #1 all-in-one AI solution designed to save doctors' time by creating superhuman doctors. The platform offers a comprehensive set of features such as pre-visit screening, decision support, scribing, diagnosis assistance, clinical planning, and post-visit automations. Sully.ai is an automation platform that works seamlessly with Electronic Medical Records (EMR) systems, providing personalized and multilingual support for healthcare professionals. The AI model is HIPAA compliant and trained on real-life doctor encounters to enhance decision-making and streamline administrative tasks. With proven results in reducing repetitive tasks and improving efficiency, Sully.ai aims to transform healthcare delivery by empowering doctors to focus on patient care.

RapidAI is a software platform powered by AI that focuses on aneurysm, pulmonary embolism, and stroke. It offers a range of products and solutions designed to improve patient care and efficiency in hospitals. The technology is clinically rooted and revolutionary, developed by clinicians for clinicians. RapidAI's AI-based platform is known for its speed, scalability, and security, with customization options to meet specific hospital needs. The platform has been trusted by 2,200 hospitals, impacting 90 million lives over 15 years of technological development.

Medcol.io is a clinical AI assistant designed to support healthcare professionals in making informed decisions by providing evidence-based recommendations and insights. The platform leverages advanced algorithms and medical data analysis to assist in diagnosing diseases, suggesting treatment plans, and predicting patient outcomes. With a user-friendly interface and real-time updates, Medcol.io aims to streamline the clinical decision-making process and improve patient care.

Freed is an AI medical scribe tool designed to assist clinicians in documenting patient encounters efficiently. It listens, transcribes, and writes notes for clinicians, allowing them to focus more on patient care. Freed offers instant clinical notes tailored to each user's style, learns and adapts to user preferences, and simplifies the documentation process. The tool is HIPAA-compliant, easy to use, and supports multiple languages. It aims to make clinicians happier by saving time and reducing the burden of documentation.

Neural Consult is a cutting-edge AI-powered medical education platform that offers personalized learning tools to empower medical students. The platform provides unlimited board questions, Anki cards, clinical simulations, and more, tailored to individual study needs. With features like question generation, lecture summaries, differential diagnosis, and AI-powered case simulations, Neural Consult revolutionizes the way medical students learn and prepare for exams. Trusted by students at top medical schools, Neural Consult aims to enhance clinical reasoning, memorization skills, and overall learning efficiency through innovative AI technology.

Axon is an AI-powered study and test prep platform designed specifically for the USMLE exam. It offers a comprehensive and personalized approach to help students study smarter, not harder. With a focus on efficiency and effectiveness, Axon aims to enhance the learning experience for medical students preparing for their exams. The platform provides a range of study resources, practice questions, and personalized study plans to optimize exam preparation and boost performance.

LITFL (Life in the Fast Lane) is a website that provides free medical education resources, including articles, videos, podcasts, and infographics. The site is run by a team of doctors and other healthcare professionals who are passionate about sharing their knowledge and expertise with the world. LITFL has been featured in numerous publications, including The New York Times, The Guardian, and The Wall Street Journal.

Heidi is an AI-powered medical scribe that helps clinicians save time and improve patient care. It uses natural language processing to capture every detail of a patient visit, and then automatically generates a note that is tailored to the clinician's preferences. Heidi can also be used to create letters, add billing codes, and generate patient summaries. It is trusted by clinicians and healthcare staff in over 35 countries.

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.

GRAIL is a healthcare company innovating to solve medicine’s most important challenges. Our team of leading scientists, engineers and clinicians are on an urgent mission to detect cancer early, when it is more treatable and potentially curable. GRAIL's Galleri® test is a first-of-its-kind multi-cancer early detection (MCED) test that can detect a signal shared by more than 50 cancer types and predict the tissue type or organ associated with the signal to help healthcare providers determine next steps.

S10.AI is an AI-powered medical scribe application designed to streamline medical documentation processes for healthcare professionals. It offers seamless integration with any EMR system, providing accurate and efficient transcription of patient conversations. The application saves time, ensures confidentiality, and adapts to various medical templates and workflows. S10.AI is praised for its precision, efficiency, and support, making it a valuable asset for practitioners looking to enhance administrative tasks without compromising patient care.

PMcardio is an AI-powered ECG interpretation platform that offers accurate diagnosis of cardiovascular diseases within seconds. It provides rapid referral to specialists, detects occlusion myocardial infarction, and identifies reduced left ventricular ejection fraction from 12-lead ECGs. PMcardio enhances clinical decision-making, standardizes ECG reports, and ensures data security. The platform is designed for both individuals and organizations in the healthcare sector, offering seamless coordination and high accuracy in diagnostics.

Qventus is a healthcare operations automation platform that uses AI/ML, software templates, and best-practice operational processes to address the most important needs across hospitals and health systems. Qventus's solutions have been proven to improve surgical case volume, utilization of early block release, reduce excess days, boost revenue, and increase robotic surgical cases and lead time from proactive block release.

Linus Health is a next-generation digital cognitive assessment platform that enables earlier detection and intervention in brain health. It brings the power of AI to long-trusted cognitive tests, delivering rich insights and actionable clinical guidance. Linus Health's technology has been validated in over 20 published studies and is used by leading organizations to transform their approach to brain health.

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.

Eko is a digital stethoscope company that offers AI disease detection and telehealth solutions. Their products include digital stethoscopes with AI capabilities, mobile apps for visualization, and enterprise solutions for health systems. Eko aims to provide clinicians with advanced tools for cardiac and pulmonary disease detection, improving patient care and outcomes. The company also offers educational resources, customer stories, and news updates related to healthcare technology.

Abridge is a generative AI platform designed 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 across specialties and languages, and creates highly accurate structured clinical note drafts. The platform aims to return time to healthcare teams, clarity to patients, and efficiencies to healthcare systems.

DNAnalyzer is a nonprofit organization dedicated to revolutionizing DNA analysis through AI-powered tools. It aims to democratize access to DNA analysis for a deeper understanding of human health and disease. The tool provides innovative AI-powered analysis and interpretive tools to empower geneticists, physicians, and researchers to gain deep insights into DNA sequences, revolutionizing how we understand human health and disease.

Phi-3-MLX is a versatile AI framework that leverages both the Phi-3-Vision multimodal model and the Phi-3-Mini-128K language model optimized for Apple Silicon using the MLX framework. It provides an easy-to-use interface for a wide range of AI tasks, from advanced text generation to visual question answering and code execution. The project features support for batched generation, flexible agent system, custom toolchains, model quantization, LoRA fine-tuning capabilities, and API integration for extended functionality.

This repository is an updating survey for Continual Learning of Large Language Models (CL-LLMs), providing a comprehensive overview of various aspects related to the continual learning of large language models. It covers topics such as continual pre-training, domain-adaptive pre-training, continual fine-tuning, model refinement, model alignment, multimodal LLMs, and miscellaneous aspects. The survey includes a collection of relevant papers, each focusing on different areas within the field of continual learning of large language models.

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.

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.

PeriDyno is a CUDA-based, highly parallel physics engine targeted at providing real-time simulation of physical environments for intelligent agents. It is designed to be easy to use and integrate into existing projects, and it provides a wide range of features for simulating a variety of physical phenomena. PeriDyno is open source and available under the Apache 2.0 license.

ManipVQA is a framework that enhances Multimodal Large Language Models (MLLMs) with manipulation-centric knowledge through a Visual Question-Answering (VQA) format. It addresses the deficiency of conventional MLLMs in understanding affordances and physical concepts crucial for manipulation tasks. By infusing robotics-specific knowledge, including tool detection, affordance recognition, and physical concept comprehension, ManipVQA improves the performance of robots in manipulation tasks. The framework involves fine-tuning MLLMs with a curated dataset of interactive objects, enabling robots to understand and execute natural language instructions more effectively.

WeatherGFT is a physics-AI hybrid model designed to generalize weather forecasts to finer-grained temporal scales beyond the training dataset. It incorporates physical partial differential equations (PDEs) into neural networks to simulate fine-grained physical evolution and correct biases. The model achieves state-of-the-art performance in forecasting tasks at different time scales, from nowcasting to medium-range forecasts, by utilizing a lead time-aware training framework and a carefully designed PDE kernel. WeatherGFT bridges the gap between nowcast and medium-range forecast by extending forecasting abilities to predict accurately at a 30-minute time scale.

The MiniAiLive Face Liveness Detection Android SDK provides advanced computer vision techniques to enhance security and accuracy on Android platforms. It offers 3D Passive Face Liveness Detection capabilities, ensuring that users are physically present and not using spoofing methods to access applications or services. The SDK is fully on-premise, with all processing happening on the hosting server, ensuring data privacy and security.

Humanoid-Gym is a reinforcement learning framework designed for training locomotion skills for humanoid robots, focusing on zero-shot transfer from simulation to real-world environments. It integrates a sim-to-sim framework from Isaac Gym to Mujoco for verifying trained policies in different physical simulations. The codebase is verified with RobotEra's XBot-S and XBot-L humanoid robots. It offers comprehensive training guidelines, step-by-step configuration instructions, and execution scripts for easy deployment. The sim2sim support allows transferring trained policies to accurate simulated environments. The upcoming features include Denoising World Model Learning and Dexterous Hand Manipulation. Installation and usage guides are provided along with examples for training PPO policies and sim-to-sim transformations. The code structure includes environment and configuration files, with instructions on adding new environments. Troubleshooting tips are provided for common issues, along with a citation and acknowledgment section.

OmniGibson is a platform for accelerating Embodied AI research built upon NVIDIA's Omniverse platform. It features photorealistic visuals, physical realism, fluid and soft body support, large-scale high-quality scenes and objects, dynamic kinematic and semantic object states, mobile manipulator robots with modular controllers, and an OpenAI Gym interface. The platform provides a comprehensive environment for researchers to conduct experiments and simulations in the field of Embodied AI.

Torch-Pruning (TP) is a library for structural pruning that enables pruning for a wide range of deep neural networks. It uses an algorithm called DepGraph to physically remove parameters. The library supports pruning off-the-shelf models from various frameworks and provides benchmarks for reproducing results. It offers high-level pruners, dependency graph for automatic pruning, low-level pruning functions, and supports various importance criteria and modules. Torch-Pruning is compatible with both PyTorch 1.x and 2.x versions.

LangSim is a tool developed to address the challenge of using simulation tools in computational chemistry and materials science, which typically require cryptic input files or programming experience. The tool provides a Large Language Model (LLM) extension with agents to couple the LLM to scientific simulation codes and calculate physical properties from a natural language interface. It aims to simplify the process of interacting with simulation tools by enabling users to query the large language model directly from a Python environment or a web-based interface.

This repo contains official implementations of **Coach AI Badminton Project** from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng. The high-level concepts of each project are as follows: 1. Visualization Platform published at _Physical Education Journal 2020_ aims to construct a platform that can be used to illustrate the data from matches. 2. Shot Influence and Extension Work published at _ICDM-21_ and _ACM TIST 2022_ , respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot. 3. Stroke Forecasting published at _AAAI-22_ proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework. 4. Strategic Environment published at _AAAI-23 Student Abstract_ designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures. 5. Movement Forecasting published at _AAAI-23_ proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs. 6. CoachAI-Challenge-IJCAI2023 is a badminton challenge (CC4) hosted at _IJCAI-23_. Please find the website for more details. 7. ShuttleSet published at _KDD-23_ is the largest badminton singles dataset with stroke-level records. - An extension dataset ShuttleSet22 published at _IJCAI-24 Demo & IJCAI-23 IT4PSS Workshop_ is also released. 8. CoachAI Badminton Environment published at _AAAI-24 Student Abstract and Demo, DSAI4Sports @ KDD 2023_ is a reinforcement learning (RL) environment tailored for AI-driven sports analytics, offering: i) Realistic opponent simulation for RL training; ii) Visualizations for evaluation; and iii) Performance benchmarks for assessing agent capabilities.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

High Performance LLMs 2024 is a comprehensive course focused on building a high-performance Large Language Model (LLM) from scratch using Jax. The course covers various aspects such as training, inference, roofline analysis, compilation, sharding, profiling, and optimization techniques. Participants will gain a deep understanding of Jax and learn how to design high-performance computing systems that operate close to their physical limits.

Aiken is a modern smart contract platform for Cardano, providing a user-friendly environment for developing and deploying smart contracts. It supports Linux, MacOS, and Windows operating systems. Aiken is designed to simplify the process of creating smart contracts on the Cardano blockchain, offering a seamless experience for developers. The platform is named after Howard Aiken, an American physicist and computing pioneer.

Aimmy is a universal AI-Based Aim Alignment Mechanism developed by BabyHamsta, MarsQQ & Taylor to make gaming more accessible for users who have difficulty aiming. It utilizes DirectML, ONNX, and YOLOV8 for player detection, offering high accuracy and fast performance. Aimmy features an easy-to-use UI, extensive customizability, and is free of ads and paywalls. It is designed for gamers facing challenges like physical or mental disabilities, poor hand-eye coordination, or aiming difficulties due to environmental factors. Aimmy provides various features like AI detection, customizability, anti-recoil system, mouse movement methods, hotswappability, and a model/configuration store with repository support.

BetterGI is a project based on computer vision technology, which aims to make Genshin Impact better. It can automatically pick up items, skip dialogues, automatically select options, automatically submit items, close pop-up pages, etc. When talking to Katherine, it can automatically receive the "Daily Commission" rewards and automatically re-dispatch. When the automatic plot function is turned on, this function will take effect, and the invitation options will be automatically selected. AI recognizes automatic casting, automatically reels in when the fish is hooked, and automatically completes the fishing progress. Help you easily complete the Seven Saint Summoning character invitation, weekly visitor challenge and other PVE content. Automatically use the "King Tree Blessing" with the `Z` key, and use the principle of refreshing wood by going online and offline to hang up a backpack full of wood. Write combat scripts to let the team fight automatically according to your strategy. Fully automatic secret realm hangs up to restore physical strength, automatically enters the secret realm to open the key, fight, walk to the ancient tree and receive rewards. Click the teleportation point on the map, or if there is a teleportation point in the list that appears after clicking, it will automatically click the teleportation point and teleport. Set a shortcut key, and long press to continuously rotate the perspective horizontally (of course you can also use it to rotate the grass god). Quickly switch between "Details" and "Enhance" pages to skip the display of holy relic enhancement results and quickly +20. You can quickly purchase items in the store in full quantity, which is suitable for quickly clearing event redemptions,塵歌壺 store redemptions, etc.

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