Top Artificial Intelligence Solution Companies in Europe - artificial-intelligence-europe Companies
OphtAI: Proactive Eye Care, Now Possible

Top 10 Artificial Intelligence Solution Companies in Europe - 2020

A couple of years ago, Artificial Intelligence (AI) was considered fancy by industries outside the technology sector. It has currently penetrated every vertical and is the new hot topic driving transformations for all companies that we can think of, including the healthcare sector. From enhancing customer experience to making healthcare more accurate and cost-effective, AI is benefitting all. For instance, AI promotes real-time marketing activities by tracking the patient’s data and enabling hospitals and pharmaceutical companies to make proactive decisions. AI, coupled with big data and machine learning, allows clinicians to handle efficiently the massive volumes of patient data generated. Also, the rise of AI as a medical device for clinical imaging and diagnosis is a breakthrough in the medical paradigm. Besides, incorporating AI, researchers today can easily analyse atypical risk factors like retinal images, voice patterns, and more by using neural networks that were previously difficult to quantify. Again, the AI-powered chatbots help healthcare companies to connect with patients instantly and recommend personalised solutions. In fact, these real-time marketing strategies allow businesses to stay relevant, offer customised services, and widen their clientele base.

In the wake of such drastic transitions, we have compiled this issue of Healthcare Tech Outlook in order to assist organisations in the task of finding accomplished solution providers companies to help them navigate the Artificial Intelligence realm. In this edition, we have listed the top 10 artificial intelligence solution providers in Europe 2020 to highlight the companies that can escalate the chances of your growth. Equipped with innovative technological capabilities, these enlisted solution providers are transforming the Artificial Intelligence landscape at the cloverleaf of various disruptive technologies. Besides, the magazine comprises insights from subject-matter experts, CIOs, and CXOs in the digital sector on the latest industry trends, best practices, recent innovations, and highlights their expertise. We hope this issue of Healthcare Tech Outlook helps you build the partnership you and your organisation need to foster an environment driven by robust and efficient technology.

We present to you Healthcare Tech Outlook’s “Top 10 Artificial Intelligence Solution Providers in Europe 2020”

    Top Artificial Intelligence Solution Companies in Europe

  • OphtAI is on a mission to democratize access to proactive eye care through Artificial Intelligence

  • Promaton® is leading in B2B dentistry automation. Promaton® is a frontrunner, turning imaging data into clinical insights. Promaton® will continuously enable dental companies to deliver revolutionary new products to dentists. Increased accuracy and time-saving are the main criteria. The limits are beyond human capabilities, delivered within a second. The company believes in strong collaborations and scientific research that are the foundations for AI-driven oral healthcare. They create superior algorithms by having dental professionals train their algorithms with high clinical precision. All their algorithms are clinically validated at world renowned research institutions

  • Transmural Biotech is building AI algorithms capable of diagnosing—through images and devices as common as ultrasound scanners—a wide range of very dangerous diseases. Through these images, the company builds algorithms with excellent predictive capacity, non-invasive tests, capable of advancing the diagnosis with an immediate response. After nine years of activity, the company has already demonstrated that its business is in the products that allow this type of test to be performed more reliably, earlier, faster and more comfortably. The company already has two predictive algorithms that are marketed in 70 countries and will add three more by the end of 2020

  • Aidence


    The company believes in the transformative power of artificial intelligence. AI is a technology modelled after the function of the human brain. It can intuitively learn to detect and describe patterns in images and data. They want to use this data-driven ability to improve the oncology pathway and contribute to better, more affordable healthcare. Their 30+ team of data scientists, software engineers, medical and regulatory professionals cut through the hype around AI to deliver intuitive and practical solutions for medical imaging. They’re building AI applications that seamlessly integrate into the clinical workflow, ensuring speed, accuracy, and ease of use

  • Cerebriu


    Cerebriu improves workflow efficiency, quality and patient outcomes in diagnostic imaging. Their software solution Cerebriu Apollo achieves this by automating image acquisition protocols and triage during MRI brain acquisition providing decision support at key stages of the diagnostic process. Ultimately this results in improved productivity, prioritizing the right patients at the right time and less stress for clinicians.

  • Qmenta


    QMENTA, headquartered in Boston with European offices in Barcelona, accelerates and improves the chances of successful drug development and clinical care for brain diseases. Their team, composed of 25 international neuroimaging and IT experts, designed a cloud-based platform using unique AI and machine learning techniques and large amounts of MRI and CT brain images drawn from an extensive database. The QMENTA platform is the perfect environment to store, share and analyze multi-site medical imaging data over the course of clinical studies and trials. It allows experts to save valuable time and money in drug development and empowers their objective decision-making based on imaging data insights

  • Syndiag


    A Digital Platform designed to allow Physicians to early diagnose ovarian cancer, with the power of shared data and clinical information from world-class hospitals. It provides a software for clinical decision support based on Artificial Intelligence. Thousands of high quality clinical cases have been collected by World-Class Hospitals to train an expert systems capable of identify tumoral features during ovarian sonography. OvAi highlights the features and leaves the gynecologists the final decision

  • Therapanacea


    TheraPanacea's solutions benefit from the latest technological advances in the field of sciences, engineering & medicine and combine optimal in terms of inference mathematical models with the most efficient low -cost parallel computing architectures (GPUs). The company provides technology which is data-driven and makes no assumption on the nature of clinical problems to be solved. Their solution could treat and handle virtually any imaginable clinical setting and any type of cancer being treated with radiation while evolving naturally towards perfection with the increasing availability of data

  • TrueMed


    The company utilize a great amount of data augmentation to build a robust representation of the product to our neural network. This means the source image is altered in various ways (eg. rotated, slightly buckled and scratched) while still keeping it within acceptable limits of what their system will deem as authentic. This system will also generate its own counterfeits using the same augmentation methods. Once the data is generated, the system is trained to validate the product. Once this is done, your product is ready to be validated.They have built a simple mobile app for Scanning a product for analysis

  • xBird


    xbird is a provider of software solutions in the healthcare sector, founded in Berlin in 2015. The company uses its artificial intelligence to personalize therapies for better results. Especially in the case of diabetes therapy, the algorithms developed by xbird can record the behavior and lifestyle of patients using smartphones and other wearables. In this way, as part of holistic care, health risks can be identified and prevented and long-term treatment can be optimized