John Snow Labs

🚀 Unlock Healthcare Insights with #GenerativeAI! Join experts Murali Gandhirajan from Snowflake and Veysel Kocaman from John Snow Labs for a live session on transforming healthcare data workflows using advanced AI. 🗓 Date: Thursday, November 14, 2024 🕒 Time: 2:00 pm ET | 11:00 am PT 💻 Location: Online 🔗 Register today and optimize your data workflows: https://hubs.li/Q02Xcp7C0 #HealthcareAI #GenAI #Snowflake #JohnSnowLabs #LLMs #DataScience #NLP #DigitalHealth

Data integration has long been one of the biggest challenges in healthcare, but recent advancements in AI are transforming this landscape. In this session, we’ll demonstrate a breakthrough solution from John Snow Labs that automatically converts large volumes of raw, multi-format, multi-modal medical data into coherent, longitudinal patient stories – all in an industry-standard format. Key features of this solution include: 1️⃣ Building a unified view of each patient over time. 2️⃣ Integrating multi-modal data into this patient view. 3️⃣ Reasoning at the patient level. 4️⃣ Predicting risk scores and calculating clinical measures. 5️⃣ Providing full traceability to explain results. 6️⃣ Building patient cohorts using natural language queries. Join us to explore how these advancements are revolutionizing patient care and decision-making in healthcare! Watch an entire video: https://hubs.li/Q02WJ3970 #HealthcareAI #PatientCare #MedicalData #JohnSnowLabs #AIinHealthcare #DataIntegration #PatientJourneys

Literature reviews play a vital role in evidence-based medicine by systematically analyzing the vast landscape of published academic literature to address clinical questions. However, traditional methods often demand extensive time, effort, and specialized expertise. In this presentation, we introduce an advanced tool designed to automate key aspects of the literature review process, featuring: 🔑 Keyword-based search across public biomedical databases. 🛠️ Advanced prompt engineering to refine inclusion and exclusion criteria for papers. 📊 Fact extraction tailored to highlight essential data points from target studies. 🔍 Traceability and explainability features ensuring transparency and accountability in results. 🖥️ A guided user interface that supports iterative refinement and validation, allowing users to efficiently fine-tune their reviews. Join us as we explore how systematic reviews can be semi-automated using cutting-edge, healthcare-specific Generative AI models and discuss the future implications for evidence-based medicine! Watch an entire video now: https://lnkd.in/dHV5CK5m This session was presented by Alina Dia Trambitas-Miron, PhD, our Head of Product at #NLPSummit 2024. #EvidenceBasedMedicine #LiteratureReview #HealthcareAI #GenerativeAI #MedicalResearch #JohnSnowLabs

Did you miss the recent webinar on ‘Building Patient Journeys from Multi-Modal Healthcare Data Using Medical Language Models’? Unleash the power of #GenerativeAILab—designed for high-efficiency text and image annotation, model training, and collaboration. Perfect for enterprise AI teams, NLP Lab brings: 🔹 High-Productivity Annotation: Get started faster with pre-annotation, intuitive UI, and collaborative tools that make reaching agreements seamless. 🔹 AI-Assisted Annotation: Use models, rules, and prompts to amplify accuracy, and integrate easily with your toolset via API access. 🔹 Model Training & Tuning: With Auto NLP and Transfer Learning, train models on the go and evaluate performance in real time. 🔹 Project & Team Management: Keep track of workflows, versioning, and analytics with in-depth management tools. 🔹 Enterprise-Grade Security: Enjoy robust security features like MFA, AD/LDAP, and role-based access, all deployable on your infrastructure. 👉 Watch now! https://hubs.li/Q02WZpMQ0 #HealthcareAI #DataIntegration #Webinar #JohnSnowLabs #AI #Databricks #PatientCare

We’re excited to have Linda Chen, Chief Operating Officer of John Snow Labs, as our keynote speaker at the upcoming AI Collaborate event this month! Linda will share insights on "De-cluttering the World of Generative AI.”    John Snow Labs is a pioneer in healthcare AI, recognized for its advanced Natural Language Processing (NLP) library and innovative data annotation solutions that enhance clinical NLP, data integration, and AI model development.  https://lnkd.in/fH5YcRH    #AICollaborate #DataScienceIsATeamSport 

Join Murali Gandhirajan, Global Health Sciences CTO at Snowflake, and Veysel Kocaman, PhD, Head of Data Science at John Snow Labs, for a live, online session on transforming #healthcare data workflows with advanced generative AI on Thursday, November 14, 2024 at 2:00 pm EST. Dive into the latest in John Snow Labs’ healthcare-specific #GenerativeAI models, purpose-built for streamlined deployment on Snowflake as private API endpoints. Here’s what’s in store: 🔍 Developments in medically specialized #largelanguagemodels (#LLMs) ⚙️ Simple, effective deployment options for #Snowflake integration 📈 Expert insights on fine-tuning, benchmarking, and real-world applications in #healthcare Don’t miss this chance to supercharge your healthcare applications with powerful, AI-driven insights! 🔗 Register today and optimize your data workflows: https://lnkd.in/d-apP5gH #HealthcareAI #GenAI #Snowflake #JohnSnowLabs #LLMs #DataScience #NLP #DigitalHealth

🌍 With over 19 million new cancer cases diagnosed globally in 2020, the need for innovative solutions in cancer research and care has never been greater. 👉 Read the full post to learn how AI is driving advancements in oncology: https://hubs.li/Q02WZj_P0 #HealthcareAI #CancerCare #NLP #AIForGood #Oncology #JohnSnowLabs #MedicalRecords #GenerativeAI #HealthcareAI #MedicalLLMs #nlp #naturallanguageprocessing #DataScience #DataEngineering #DataAnalysis #DataInsights #TextProcessing #DeepLearning #DataScience #ResponsibleNLP #ResponsibleAI

Don’t miss our upcoming webinar ‘De-identification of Medical Images in DICOM Format’ on November 13th at 2pm ET by Jose Pablo Alberto Andreotti, our Data Scientist. De-identifying medical records is key to unlocking valuable data for privacy, compliance, research, and reducing data breaches. DICOM, a standard for exchanging medical images (e.g., CT, MRI, ultrasound), poses anonymization challenges due to: ♢ Sensitive info “burned” into images, requiring computer vision/OCR ♢ Unstructured text in metadata ♢ Thousands of DICOM file variants and metadata fields ♢ Files containing thousands of images in various resolutions ♢ Modality-specific nuances (MRI vs. CT vs. ultrasound) This session presents a scalable, high-accuracy solution for processing and de-identifying DICOM files using John Snow Labs' Visual NLP, with live demos and infrastructure insights for scaling pipelines. Read more: https://lnkd.in/dd--d8NN #LargeLanguageModels #MedicalAIApplications #AIinHealthcare #LLMs #HealthcareLLMs #GenerativeAI #HealthcareAI #MedicalLLMs #nlp

A heartfelt thank you to the tens of thousands who joined us across 250+ technical sessions, diving into the latest in open-source technology, finance, and healthcare AI. Over the last five years, your enthusiasm has fueled this summit’s growth and impact. Missed this year’s summit? You can still catch every insightful session—watch the recordings here: https://hubs.li/Q02WS76X0 #GenerativeAI #LargeLanguageModels #ResponsibleAI #RAG #HealthcareAI #ClinicalLLM #PromptEngineering #MedicalGPT #DigitalHealth #DigitalTransformation

Clinical Note Summarization: John Snow Labs’ models are 30% more accurate than BART, Flan-T5, and Pegasus in delivering precise summaries. Clinical Entity Recognition: Our models outperform, with 50% fewer errors than ChatGPT, ensuring higher accuracy in identifying critical health information. ICD-10-CM Code Extraction: Achieving a 76% success rate—significantly ahead of GPT-3.5’s 26% and GPT-4’s 36%. Want to see how John Snow Labs is reshaping healthcare with AI-driven precision? Learn more: https://hubs.li/Q02WGNDK0 #LargeLanguageModels #HealthcareLLMs #ResponsibleAI #HealthcareAI #MedicalLLMs #MachineLearning #DigitalTransformation #NLP #ArtificialIntelligence