Top 50 Ai For Healthcare in Europe

This healthcare technology firm utilizes AI and data analytics to provide actionable insights from patient data, enabling precise diagnostics and tailored treatment plans. By integrating these capabilities into clinical workflows, the platform enhances decision-making and improves the quality of patient care.

nference provides a clinical AI platform that integrates and analyzes extensive healthcare data, including electronic health records and imaging, to enhance patient outcomes through personalized treatment insights. The platform addresses the challenge of fragmented healthcare data by utilizing advanced algorithms for data harmonization and real-world evidence generation, enabling researchers to derive actionable insights for various therapeutic areas.

dehaze integrates medical AI models into clinical workflows to enhance diagnostic accuracy and prognostic capabilities tailored to individual patient data. This approach addresses the limitations of standardized treatment guidelines by providing personalized healthcare solutions based on unique health profiles.

Sporo Health integrates proprietary medical AI agents into electronic health record (EHR) systems to automate patient chart reviews and clinical note generation, significantly reducing the time clinicians spend on documentation. This technology addresses workforce shortages and high implementation costs in healthcare by enhancing efficiency and improving patient outcomes through accurate, task-specific AI solutions.

Provides an AI-powered medical information platform that delivers evidence-based clinical insights and resources to healthcare professionals. It streamlines access to up-to-date medical knowledge, supporting informed decision-making across over 7,000 care centers in the United States. The platform is free and unlimited for healthcare providers, ensuring widespread availability and usage.

AERA Health provides a platform that integrates insights from leading medical professionals and functional medicine principles into a centralized intelligence center, utilizing AI to enhance patient-centered care. The technology addresses the fragmentation in healthcare delivery by automating routine tasks and enabling personalized treatment plans, resulting in improved patient outcomes and increased administrative efficiency.

John Snow Labs provides state-of-the-art medical large language models (LLMs) and natural language processing (NLP) tools designed for healthcare organizations to efficiently extract and analyze clinical data from diverse medical documents. Their platform enables rapid deployment of AI solutions, enhancing data accuracy and operational efficiency in healthcare settings.

The startup offers an artificial intelligence-based healthcare information platform that transforms health data into an interactive format with clear explanations and personalized insights. This platform enables users to make informed health and well-being decisions by providing tailored coaching and easy access to their health information.

HC Healthcare & Innovation utilizes AI and electronic health records to connect patients with healthcare professionals, enhancing access to personalized home care services. The platform addresses the challenges of an aging population and overloaded health units by delivering medical care and diagnostics directly to patients' homes, ensuring high-quality, patient-centered care.

AIDY Health provides AI-powered health assistance products that utilize ambient home health monitoring to enhance access to care for individuals facing health issues. By reducing waiting times for support, the platform enables timely interventions and improves overall patient outcomes.

The startup develops AI software that analyzes live video streams in healthcare facilities to detect when patients require immediate attention. By alerting nursing staff in real-time, the technology enhances patient care and allows healthcare professionals to prioritize in-person interactions.

Talkie.ai utilizes AI-driven voice assistants to automate patient access services in healthcare, enabling 24/7 self-service for scheduling, prescription refills, and FAQs. This technology reduces call center operational costs by 60% and eliminates on-hold time, significantly improving patient engagement and operational efficiency.

TORTUS AI provides a secure, compliant platform that utilizes medical speech-to-text AI to transcribe clinician-patient conversations, allowing healthcare professionals to focus on patient interaction rather than documentation. By automating the drafting of medical notes, letters, and clinical codes, TORTUS significantly reduces administrative burdens and enhances workflow efficiency in the healthcare sector.

Closar AI Vizu Health develops a platform that utilizes AI to analyze and visualize patient-generated data from wearable devices, enabling healthcare providers to monitor vital signs and detect anomalies in real-time. This approach addresses the challenge of effectively utilizing vast amounts of wearable health data, facilitating personalized care and improving health outcomes without the need for EHR system integration.

Squire provides an AI-powered platform that automates healthcare documentation by transcribing patient consultations and generating medical reports. This solution reduces administrative burden for clinicians, allowing them to focus more on patient care.

TeiaCare offers ANCELIA, an AI-driven platform that enhances elderly care management by continuously monitoring residents' health conditions and analyzing care data for operational efficiency. This technology enables healthcare staff to provide personalized assistance while optimizing resource allocation and improving overall care quality.

Treint Business offers a healthcare management system that utilizes AI-driven predictive analytics to enhance patient care and operational efficiency in hospitals. The platform addresses the lack of digitization and transparent analytics in healthcare, enabling providers to make informed decisions and improve patient outcomes through streamlined data management and billing processes.

The startup develops an artificial intelligence-based healthcare technology that utilizes MRI and multi-omics biomarkers to enhance cancer detection and diagnosis. By providing accurate and cost-effective reporting tools, the technology enables clinicians to improve the speed and accessibility of cancer screening.

Lenus Health is a predictive AI platform that enhances the management of chronic conditions such as COPD and heart failure by automating diagnostic workflows and risk stratifying patients for timely interventions. This technology reduces hospital admissions and improves patient outcomes through efficient care coordination and actionable clinical insights.

This startup provides AI-powered software that assists medical professionals with diagnosis and treatment planning. It analyzes patient data and discharge letters to offer individualized diagnostic suggestions and therapy recommendations, helping doctors predict treatment courses.

DatAIMed provides a digital health platform that utilizes AI, Machine Learning, and Natural Language Processing to deliver instant, multilingual access to over 100 million scientific articles. The platform enhances evidence-based decision-making for healthcare professionals by offering advanced bibliographic search, automated critical appraisal of studies, and AI-driven clinical consultations.

AiMorphous Health is developing an AI-powered blood diagnostic system that utilizes machine learning algorithms to identify early biomarkers of thrombosis, a leading cause of heart attacks and strokes. This technology aims to enable timely detection and intervention, potentially preventing over 80% of thrombosis cases that currently go undiagnosed.

The startup develops an AI-driven digital physician platform that analyzes patient data through mathematical algorithms to generate diagnostic suggestions. By asking targeted questions based on medical history and current symptoms, the software enables users to monitor their health effectively and receive personalized feedback.

The startup develops a predictive analytics platform that utilizes artificial intelligence and biophysical biomarkers, including at-home composite tests, to identify potential health issues early. This technology enhances healthcare decision-making by providing clinical insights that improve patient outcomes and operational efficiency for providers.

The startup develops a clinical image analysis platform that utilizes AI technologies for medical image analysis and data mining, focusing on treatment effects in oncology and other therapeutic areas. By providing quantitative imaging and machine learning capabilities, the platform enhances clinical decision support, enabling healthcare professionals to deliver accurate diagnoses and tailored treatments.

Fleming is a healthcare app that utilizes artificial intelligence to provide preliminary medical diagnoses through a symptom checker and a secure medical database, ensuring reliable information for users. The platform addresses the challenges of misinformation and self-diagnosis by guiding patients towards trusted medical insights and facilitating efficient communication of health data for medical professionals.

Hope Valley AI provides an AI-powered platform for early detection of rare diseases by analyzing multimodal healthcare data to identify subtle risk markers years before symptoms appear. Their solutions enable proactive risk assessment and intervention, improving patient outcomes.

Jaide is a healthtech startup that provides an AI-driven clinical documentation and decision support system to enhance the patient-physician experience in oncology and other chronic diseases. By enabling precise medical decision-making, Jaide aims to improve access to high-quality healthcare for patients worldwide.

Domo Health provides a data platform that integrates real-world data and AI to enable remote patient monitoring and optimize care management across various healthcare settings. This technology enhances patient safety and care coordination by delivering real-time health insights and streamlining workflows for healthcare professionals.

OurMind utilizes AI-driven documentation tools to automate administrative tasks for healthcare professionals, allowing them to focus on patient care. By generating consultation summaries and managing multilingual communication, OurMind enhances efficiency and improves the quality of healthcare delivery.

Deep Medical utilizes AI algorithms to predict patient no-shows and optimize appointment scheduling, thereby enhancing clinical efficiency and reducing NHS waiting lists. By identifying at-risk patients and facilitating proactive outreach, the platform aims to improve access to urgent care and address health disparities.

ALZA CARE utilizes AI-driven predictive analytics to optimize patient flow in healthcare facilities, enabling precise resource allocation and minimizing bottlenecks. This technology enhances operational efficiency and improves patient access to care, resulting in reduced wait times and better overall patient outcomes.

The startup develops an AI-enabled remote patient monitoring tool that detects chronic conditions and associated comorbidities through continuous health data analysis. This technology enables healthcare providers to monitor patients' health remotely, ensuring timely interventions and improved patient outcomes.

IsareeAI provides an open platform and ecosystem for deploying specialized AI agents within healthcare workflows. This platform features an edge-first AI assistant for on-device processing, ensuring patient health information (PHI) privacy while clinicians interact with specialized agents. The system orchestrates multi-agent workflows across disparate systems, automating compliance tasks like HIPAA and EU MDR.

This startup utilizes machine learning algorithms to provide personalized diagnoses, prognoses, and treatment plans, enhancing the accuracy of patient care. By transforming traditional statistical methods into tailored solutions, it addresses the need for individualized healthcare experiences and improved patient outcomes.

Leeaf is an AI-driven platform that aggregates and analyzes patient data to provide actionable insights for healthcare providers, enhancing clinical decision-making. By delivering relevant information, Leeaf improves patient outcomes and streamlines care processes in a data-intensive environment.

BlueMind AI offers a medical data processing platform that utilizes artificial intelligence for rapid CT image segmentation and pathology detection. This technology addresses the challenges of lengthy diagnostic times and high workloads for healthcare professionals by providing near-instantaneous analysis and 3D visualization of medical images.

Vital Beats employs AI algorithms to analyze data from implanted cardiac devices, delivering real-time diagnostics and tailored treatment plans for patients with cardiac conditions. This technology enhances patient monitoring and facilitates timely medical interventions, ultimately improving clinical outcomes.

This startup provides an AI-powered platform that automates administrative tasks and ensures medical document compliance for healthcare providers. It offers features like AI notes, transcription, and workflow automation, enabling clinics to streamline operations and improve patient care.

PharosAI is a platform that integrates artificial intelligence into research and clinical workflows within the NHS, enhancing cancer diagnostics and treatment decision-making through enriched patient datasets. By collaborating with leading healthcare institutions, PharosAI aims to ensure timely and equitable access to personalized care for all patients, regardless of socioeconomic status.

medicalvalues offers an AI-powered platform that streamlines medical diagnostics for laboratories and clinics. It provides pre-built AI models and tools to optimize diagnostic workflows, standardize data, and improve patient care.

ANA Healthcare provides an AI-powered platform for efficient medical data management and research, enabling healthcare professionals to automate data handling and reduce processing times by up to 70%. The platform ensures compliance with HIPAA and GDPR standards while enhancing data accessibility and collaboration across healthcare institutions.

The startup has developed a clinical decision intelligence platform that integrates current clinical guidelines with AI-driven analyses of historical medical decisions to enhance diagnostic assessments and treatment recommendations. This technology enables healthcare professionals to deliver more accurate, consistent, and personalized patient care.

Behold.ai offers the red dot® platform, an AI-driven diagnostic tool for CT and X-Ray imaging that rapidly identifies conditions such as lung cancer and stroke. This technology significantly reduces diagnostic wait times, enabling healthcare providers to triage patients within seconds instead of days, thereby improving patient outcomes and operational efficiency.

Humanbytes offers a curated portfolio of AI solutions to enhance diagnostic capabilities and streamline clinical workflows in healthcare. Their platform integrates best-in-class AI technologies for specialties like radiology, neurology, and digital pathology, simplifying AI deployment for hospitals and clinics.

The startup develops artificial intelligence-based medical software that digitizes patient care pathways by structuring medical knowledge into a graph format. This application aggregates patient history and illness data from various sources, enabling healthcare providers to access comprehensive patient databases for improved clinical decision-making.

This medtech startup develops AI-based clinical decision support modules that utilize generative manifold learning technology to analyze patient health data. Their platform provides personalized diagnosis and treatment recommendations, enhancing researchers' understanding of medical conditions and improving patient outcomes.

The startup develops hybrid AI-human workflows that integrate artificial intelligence with human oversight to enhance healthcare operations. Its platform automates data-intensive tasks and routine procedures, enabling healthcare providers to improve efficiency and maintain high-quality patient care.

Akuity Care develops AI algorithms that analyze vocal biomarkers to detect and monitor chronic diseases. This technology enables healthcare providers to gain real-time insights into patients' health through voice analysis, improving disease management and patient outcomes.

Synapsis utilizes artificial intelligence algorithms to enhance diagnostic imaging decision-making in healthcare. The platform improves accuracy and efficiency in identifying medical conditions, reducing the risk of misdiagnosis and expediting patient care.