AI case studies in {industry}






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Ontada leveraged Microsoft’s Azure OpenAI Service Batch API and Azure AI Foundry to build its ON.Genuity platform, which processes 150 million unstructured oncology documents to automatically extract nearly 100 critical data elements across 39 cancer types. They integrated the new platform with their structured iKnowMed system using Azure Databricks for data ingestion and Azure Document Intelligence for text extraction, transforming manual chart review processes into an automated workflow that supports clinical decision-making and life science product development.
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DrumBeat.ai developed an AI-driven diagnostic tool integrated with an ear camera that analyzes digital images of patients’ ears to provide instant identification of abnormalities such as perforated eardrums and signs of chronic otitis media. The system was implemented by training the model on over 10,000 images from 4,000 children across 100 indigenous communities, enabling non-specialists in remote areas to perform assessments and facilitate timely referrals.
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Dynamic Health Systems built its VitruCare365® platform on Microsoft Cloud for Healthcare by integrating Microsoft Azure, FHIR, Dynamics 365, and Azure OpenAI Service to deliver personalized patient apps and AI-powered chatbots. They deployed a retrieval augmented generation technique with custom RAG Flag technology and integrated the solution within Microsoft 365 for telemedicine consultations, appointment scheduling, and motivational care planning. This comprehensive integration automated patient engagement and care plan management, streamlining clinical workflows.
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Fairtility developed its AI-powered IVF solution, CHLOE, leveraging Google Cloud’s robust infrastructure to analyze thousands of data points daily for insights on embryo and egg viability. The system is implemented across 100 global clinics with remote deployment and near real-time updates, streamlining operational workflows and aiding embryologists with faster, data-informed treatment decisions.
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Medigold Health, a UK occupational health provider, used Microsoft Azure OpenAI Service to automate medical report generation, reducing the time clinicians spend on paperwork. By integrating Azure OpenAI Service with Azure App Service, Azure Cosmos DB, and Azure SQL Database, they developed an AI application that generates reports from clinicians' consultation notes in about 15 seconds, allowing clinicians to focus more on patient care.
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Acentra Health developed MedScribe, a web app that uses Azure OpenAI Service to generate draft letters responding to healthcare service appeals.
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Doctolib leverages Microsoft Azure OpenAI Service and Mistral Large on Azure to develop an AI-powered virtual assistant that transcribes medical consultations in real-time and generates summaries within 15 seconds, allowing practitioners to focus more on patient care.
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Mars, a global petcare company, uses Microsoft's Azure AI model catalog, choosing Mistral for its model as a service offering, to accelerate the development and deployment of its AI-powered solution RapidRead. RapidRead interprets pet radiology scans quickly, assisting veterinarians in diagnosing medical conditions faster. By employing Azure Machine Learning, Mars can process millions of images and reports, supporting veterinarians with AI-enhanced tools.
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apree health adopted Google Workspace to centralize data access management and secure sensitive patient data by consolidating disparate security systems into a unified admin console. They implemented a zero-trust strategy with granular access controls, endpoint management, and integrated Gemini for Google Workspace to streamline document creation and collaboration across development and patient care. The migration, supported by SADA, involved transitioning over 1,200 employees and providing extensive training to facilitate a smooth change management process.
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Operation Smile implemented Azure OpenAI Service to digitize patient registration with multi-language support and automate spreadsheet data analysis. They integrated this AI solution with Microsoft Fabric, OneLake, and Power Apps in collaboration with partner Squadra to enable real-time analysis for patient triage and report generation, streamlining operational workflows.
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Promega uses ChatGPT extensively across departments to streamline processes in manufacturing, sales, and marketing. ChatGPT assists in forecasting equipment replacement timelines, gathering protein specifications for custom assays, and automating customer requests in quality assurance workflows. Custom GPTs in sales and marketing also enhance prospecting and email campaign efficiency.
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Institut Curie implemented Microsoft 365 Copilot in partnership with Witivio to develop a dedicated "Copilot for Researcher" agent that automates time-consuming administrative tasks, including retrieving and summarizing scientific literature and streamlining supply order management via cross-referencing internal directories. The solution was integrated into existing Microsoft 365 workflows to enable natural language queries for literature searches, order processing, and internal communications, thereby freeing researchers to focus on core cancer research while ensuring expert validation of AI outputs. By offloading routine tasks and safeguarding data integrity, the system optimizes research processes and enhances operational efficiency.
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Virtual Dental Care (VDC), a teledentistry provider, developed an AI application called Smart Scan using Azure Machine Learning. Smart Scan analyzes dental photos and x-rays to detect common dental issues, such as decay and gum inflammation. Built in the Azure ecosystem, it easily scales for large group screenings, reducing administrative paperwork by 75% in a school study and allowing dentists to focus more on patient care.
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Ospedale San Raffaele developed a cloud-based platform powered by AI and Machine Learning to transform clinical research and precision medicine. Predictive models and generative AI tools help analyze complex data, improve decision-making, automate low-value activities, focusing on research, diagnosis, and treatment.
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Technogym integrated Google Cloud’s generative AI services including Gemini, Vertex AI, and BigQuery to analyze vast amounts of user data stored in Cloud Storage, enabling the creation of hyper-personalized workout, nutrition, sleep, and mindfulness programs. The AI-powered Technogym Coach is embedded into their digital ecosystem, streamlining fitness planning and enhancing customer engagement across both physical and digital channels.

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Inteleos uses Perplexity Enterprise Pro to assist their team in developing quiz questions for medical professionals, improving efficiency and maintaining security and accuracy. The tool helps automate research and drafting, allowing subject matter experts to create explanatory paragraphs and other content more quickly.
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Neuromnia uses Meta's Llama 3.1 to develop Nia, an AI assistant for automating ABA therapy tasks.
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Novo Nordisk implemented an AI platform on Azure by integrating Azure OpenAI Service with its extensive data stacks to boost drug discovery, regulatory affairs, early research, and trial design. The solution features a copilot tool for researchers that leverages advanced reasoning and predictive algorithms to enhance cardiovascular risk detection, surpassing best clinical standards. This integrated platform streamlines R&D processes by centralizing data and models, enabling cross-functional collaboration among life scientists, data scientists, and computational biologists.
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Healthify uses OpenAI's Realtime API to power Ria, an AI coach that engages in natural conversations to provide nutrition and fitness advice. The AI can escalate to human dietitians when personalized support is needed.
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Oxford University Hospitals NHS Foundation Trust (OUH) implemented Microsoft 365 Copilot to enhance staff productivity and well-being by automating back-office and administrative tasks. Staff use Copilot to create meeting minutes, summarise emails, compile information into reports, and generate standard documents, saving significant time and allowing more focus on frontline services.
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RadarFit integrated AI into its wellness app to automatically analyze uploaded photos of meals and physical activities, leveraging advanced image recognition and natural language processing to generate personalized health recommendations and assign gamification points. They implemented Azure OpenAI Service with OpenAI GPT-4 alongside Azure AI Vision for automated meal and exercise review and used Copilot Studio to deliver conversational guidance, streamlining corporate wellness management and reducing manual oversight.
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Mendel has built a clinical AI system designed to consolidate the longstanding silos in medical data into a knowledge base of holistic patient journeys, boosting patient recruitment for new therapies and clinical trials.
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NeuroPace, a medical device company, built a solution to quickly identify effective epilepsy treatment options best suited to different patients.
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Elanco, a leader in animal health, has implemented a gen AI framework supporting critical business processes, such as Pharmacovigilance, Customer Orders, and Clinical Insights.
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CostPlus Drugs (by Mark Cuban) estimates employees save 5 hours per week just with Gemini’s AI capabilities for Gmail. They also use it for AI-generated transcriptions and auto-formatting of lab results and FDA compliance documents.
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Certify OS is automating credentialing, licensing, and monitoring of medical providers for healthcare networks, relieving the burden of time-consuming and often siloed information.
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Hemominas, Brazil's largest blood bank, developed a chatbot for donor search and scheduling.
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Click Therapeutics develops prescription digital therapeutics designed to treat disease. Its Clinical Operations team leverages Gemini for Google Workspace to transform complex operations data into actionable insights, so they can quickly pinpoint ways to streamline the patient experience in clinical trials.
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Bennie Health uses Vertex AI to power its innovative employee health benefits platform, providing actionable insights and streamlining data management in order to enhance efficiency and decision-making for employees and HR teams.
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Genial Care automated clinical session documentation by enabling therapists to record audio notes at the end of each intervention. Vertex AI processes these audio recordings to transcribe and generate detailed summaries using Gemini 1.5 Flash and PaLM Chat Bison, which are then integrated into their clinical dashboard and data pipeline. This solution streamlined the clinical record-keeping process, significantly reducing manual work while ensuring high-quality, compliant patient records.
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