Best AI tools for< Healthcare Consultant >

Medgic is an advanced AI tool designed to scan, analyze, and detect skin problems using powerful AI technology. Users can simply take a photo of their skin condition, and Medgic provides results along with friendly advice. The AI robot aims to reimagine medicine by continuously learning and evolving to contribute towards solving global healthcare challenges. It is available for free on all devices and offers general information for educational purposes only, not as a replacement for physician consultation.

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

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.

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's innovative technology includes ONE, an AI-enabled clinical assistant; NEXT, a tool to identify and close gaps in care; LENS, a platform to find, access, and analyze multimodal real-world data; and ALGOS, algorithmic models connected to Tempus's assays to provide additional insight.

Komodo Health is a healthcare technology company that provides software applications to enable users to deliver exceptional value to their customers, colleagues, and patients. The company's Healthcare Map is the industry's most precise view of the U.S. healthcare system, and it combines the world's most comprehensive view of patient-encounters with innovative algorithms and decades of clinical expertise. Komodo Health's software applications are used by life sciences companies, payers, providers, and consultancies to improve the certainty of pre-launch plans, calculate Rx-based ROI for digital marketing, find patients with complicated or rare conditions, and more.

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

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

ClosedLoop is a healthcare data science platform that helps organizations improve outcomes and reduce unnecessary costs with accurate, explainable, and actionable predictions of individual-level health risks. The platform provides a comprehensive library of easily modifiable templates for healthcare-specific predictive models, machine learning (ML) features, queries, and data transformation, which accelerates time to value. ClosedLoop's AI/ML platform is designed exclusively for the data science needs of modern healthcare organizations and helps deliver measurable clinical and financial impact.

HealthITAnalytics is a leading source of news, insights, and analysis on the use of information technology in healthcare. The website covers a wide range of topics, including artificial intelligence, machine learning, data analytics, and population health management. HealthITAnalytics also provides resources for healthcare professionals, such as white papers, webinars, and podcasts.

The Medical Futurist is a digital health and AI-focused media platform that provides insights, research, and educational resources to healthcare professionals and industry leaders. It covers topics such as artificial intelligence in medicine, the future of pharma, and emerging trends in digital health. The platform also offers keynote speeches, courses, and e-books on these topics.

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

Tibot is an online dermatologist consultation platform that offers AI-powered skin diagnosis and advice. Users can consult with expert dermatologists, track skin conditions, and learn about various skin problems using the free AI dermatology tool. The platform provides comprehensive information on skin disorders, hair disorders, and scalp disorders through a detailed Wiki. Tibot aims to raise awareness about skin conditions and promote preventive health measures through its integrated dermatology service.

Aktana is an AI and mobile intelligence platform designed for the pharmaceutical and life sciences industry. It offers a suite of products and solutions to help companies develop, plan, and execute go-to-market strategies with precision. Aktana's AI-powered tools enable real-time synchronization and refinement of strategies, leading to increased operational efficiency and sales lift for biopharma leaders. The platform provides immediate feedback from the field, reducing costs and increasing revenues for global pharmaceutical companies.

Navina AI is a clinician-first AI platform designed to streamline patient care by providing key insights and actionable recommendations to healthcare providers, ACOs, MSOs, and health plans. The platform leverages proprietary AI technology to improve clinical decision-making, reduce administrative burden, and enhance quality management and risk adjustment processes. Navina AI offers efficient chart review, accurate risk adjustment, streamlined quality management, robust analytics, and a user-friendly interface that integrates seamlessly into the clinical workflow.

The website is a platform offering generative AI insights, technology, and applications for enterprise solutions. It provides expertise and perspectives to create impactful solutions across various industries such as healthcare, pharmaceuticals, biotech, and more. The platform offers end-to-end solutions for healthcare R&D innovation, digital health, and personalized buying experiences. It also focuses on AI & Analytics, digital transformation, life sciences R&D, marketing strategies, sales effectiveness, and value strategy. The website aims to help businesses leverage generative AI to drive productivity, make better decisions, and achieve tangible outcomes.

Doctronic Concierge is a state-of-the-art AI-powered health assistant that offers fully personalized medical care. It revolutionizes healthcare by providing tailored care through learning from every interaction. Users can secure their spot for free to experience the future of healthcare with the world's first personalized medical AI.

Sphere is an AI-driven platform that simplifies healthcare navigation by helping users understand their symptoms, find the right healthcare provider, book appointments, and manage insurance and payments seamlessly. It offers a transparent experience where users can share symptoms, medical history, availability, and insurance details to receive personalized healthcare recommendations. Sphere's AI Medical Specialist guides users through their healthcare journey, providing essential information and matching them with suitable specialists. The platform prioritizes privacy and security, using advanced encryption methods to protect users' personal and medical information.

Ignota Labs is a technology company focused on rescuing failing drugs and bringing new life to abandoned projects, ultimately providing hope to patients. The company utilizes a proprietary AI model, SAFEPATH, which applies deep learning to bioinformatics and cheminformatics datasets to solve drug safety issues. Ignota Labs aims to identify promising drug targets, address safety problems in clinical trials, and accelerate the delivery of therapeutically effective drugs to patients.

Healthray is a Next-Gen AI Hospital Management System that offers a comprehensive suite of healthcare software solutions, including Hospital Information Management System (HIMS), EMR Software, EHR Software, Pharmacy Management System (PMS), and Laboratory Information Management System (LIMS). The platform leverages cutting-edge AI technology to streamline operations, elevate patient care, and optimize administrative efficiency for healthcare providers. Healthray caters to a wide range of medical specialties and offers advanced functionalities to revolutionize traditional healthcare practices. With a focus on digital healthcare solutions and AI integration, Healthray aims to transform the healthcare industry by providing innovative tools for doctors and hospitals.

K Health is an AI-powered healthcare platform that leverages artificial intelligence to provide users with personalized medical insights and advice. By analyzing symptoms and medical history, K Health offers users a quick and convenient way to assess their health conditions and receive recommendations for next steps. The platform aims to democratize healthcare by making medical expertise more accessible and affordable to a wider audience. K Health is designed to complement traditional healthcare services and empower individuals to take control of their health proactively.

ZeOmega is an AI-powered healthcare solutions platform that offers population health analytics, care management, benefits administration, and operational efficiency. It provides a comprehensive set of practical, AI-powered solutions for various healthcare stakeholders, including health plans, health systems, Medicare, Medicaid, and ACOs. ZeOmega's platform integrates data to create a single source of truth, drives intelligent automation, and optimizes quality of care through AI-powered insights and automated workflows. The platform is designed to streamline operations, improve efficiency, and enhance the overall quality of healthcare services.

IvyGPT is a medical large language model that aims to generate the most realistic doctor consultation effects. It has been fine-tuned on high-quality medical Q&A data and trained using human feedback reinforcement learning. The project features full-process training on medical Q&A LLM, multiple fine-tuning methods support, efficient dataset creation tools, and a dataset of over 300,000 high-quality doctor-patient dialogues for training.

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.

AI-Notes is a repository dedicated to practical applications of artificial intelligence and deep learning. It covers concepts such as data mining, machine learning, natural language processing, and AI. The repository contains Jupyter Notebook examples for hands-on learning and experimentation. It explores the development stages of AI, from narrow artificial intelligence to general artificial intelligence and superintelligence. The content delves into machine learning algorithms, deep learning techniques, and the impact of AI on various industries like autonomous driving and healthcare. The repository aims to provide a comprehensive understanding of AI technologies and their real-world applications.

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

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.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

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.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

MING is an open-sourced Chinese medical consultation model fine-tuned based on medical instructions. The main functions of the model are as follows: Medical Q&A: answering medical questions and analyzing cases. Intelligent consultation: giving diagnosis results and suggestions after multiple rounds of consultation.

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 contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

Insightful and direct.

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

診療報酬改定や介護報酬改定の情報

Expert in cancer biology

Engaging, precise assistant for medical professionals.

GPT for AI in Medicine

Provides info on Kerala's healthcare facilities.

Guide to healthcare services in India.

A guide to help choose the right Medicare coverage.

Explores emerging trends and innovations in medicine.

An experimental virtual doctor for medical guidance. Designed by a Doctor.

Expert in oncology trial matching, leveraging advanced GPT-4 Turbo techniques.

Expert in biology, always ready to clarify new stem cell treatments.biomedical research, clinical trials. Learn about different stem cell types, current/future uses, and the latest in research.

A helpful guide for choosing and understanding health insurance plans.

Expert and respectful guide on aging research and its societal impacts.

Expert in Medical Supplies and Medicare Guidelines

Expert in biopharma, medical, and healthcare investment advice, with comprehensive industry insights.

Guide on medical equipment, ailment-based recommendations & image analysis

Medical engineer specializing in HL7/FHIR data conversion.

Comprehensive drug and medication informations.

A Medical Research Assistant Chatbot

Inquisitive medical advisor.

Regenerative medicine virtual assistant 'Regen'.

Simply type "news" for easy to digest updates in the Healthcare industry, or be as specific as you want and get the top healthcare news from reliable sources. Healthtech, patient care, insurance policies, provider networks, value based care, behavioral health, condition management, therapy.

Especialista em teses e dissertações de Ciências Da Saúde

Guides through healthcare app legalities

Expert Neurosurgeon offering tailored deep-dive consultations.

Tu mentor en educación médica de habla hispana

En virtuell sjuksköterska som ger empatiska och korrekta hälsoråd från 1177.

Precise medical information, based on 🩺

Informative guide on medical devices and healthcare technology.

Specialising in pharmaceutical research, medical science, and biotech

推荐课题主题、研究内容、研究方法、研究创新点、研究计划和预期成果等信息，生成符合省部级格式要求和逻辑结构的课题标书。

国际顶级医学专家帮你来看病

Offering medical advice based on symptoms and test results described by users

تشخيص ۽ علاج جا طريقا مهيا ڪريو - سنڌي ٻولي

Doctor Chat provides tech advice, specialist referrals, and confidential care with 'NurseBot' for secure, comprehensive support.

CardioAssist+ é uma IA avançada, desenvolvida para oferecer suporte a cardiologistas.

🔬💊 Navigate the high-risk, high-reward world of biotech and pharma investing! Discover breakthrough therapies 🧬📈, understand drug development 🧪📊, and evaluate investment opportunities 🚀💰. Invest wisely in innovation! 💡🌐 Not a financial advisor. 🚫💼