John Snow Labs

The #Healthcare #NLPSummit 2025 is just 3 days away! As we count down to the big event, we’re excited to introduce our incredible keynote speakers—leaders and innovators shaping the future of #AI in #healthcare. ◇ David Talby, CEO of John Snow Labs, will present: ‘Integrating Document Understanding, Reasoning, and Conversational #MedicalLLMs to Build Patient Journeys and Cohorts’ ◇ Sahar Kazemzadeh and Andreas Steiner from Google will present: ‘PaliGemma-CXR: Adapting an Open-Weight Vision-Language Model for Chest X-ray Interpretation’ ◇ Michael Ash, Director & Co-Founder of FunctionalMind, will present: ‘Transforming #FunctionalMedicine with AI – Accuracy, Challenges, and Future Directions’ ◇ Chris Markson, Data Science Senior Manager at Cigna Evernorth, will present: ‘Using #GenerativeAI for Data Extraction #ClinicalSupport’ ◇ Vickie Reyes, RN, BSN, MHA from Guideline Central and Alina Dia Trambitas-Miron, PhD from John Snow Labs will present: ‘Matching Patients and Answers to the Largest #ClinicalGuidelines Library in the World’ ◇ Veysel Kocaman, PhD, CTO at John Snow Labs, will present: ‘Benchmarks That Matter: Evaluating #MedicalLanguageModels for Real-World Applications’ ◇ Shreya Rajpal, CEO at Guardrails, will present: ‘How Strong are Your Guardrails? Measuring Efficacy of AI Reliability Infrastructure’ ◇ Krishnaram Kenthapadi, Chief Scientist, Clinical AI at Oracle, will present: ‘Trustworthy #HealthAI: Challenges & Lessons Learned’ ◇ Louis Ehwerhemuepha, Data Science Research Director at Children's Hospital of Orange County, will present: ‘Testing for Bias of #LargeLanguageModels in Clinical Applications’ ◇ Yishay Carmiel, CEO at Meaning, will present: ‘The State of Audio #Deepfakes & #DeepfakeDetection’ Register now: https://lnkd.in/dG9VByJP Quick registration via LinkedIn: https://lnkd.in/dfYHDrDu

Scott Newman and Zongzhi Liu @ MiBA will present AI-Enhanced Oncology Data: Unlocking Insights from #EHRs with #NLP and #LLMs at #Healthcare #NLPSummit 2025. Using John Snow Labs’ NLP frameworks, the team developed a comprehensive pipeline that performed optical character recognition, entity extraction, assertion detection, and relationship mapping from physician notes, radiology, pathology, and genetic reports focusing on temporal, anatomical, oncological, pathological, and treatment?related entities and connections. The dataset contained over 1.4 million physician notes and approximately 1 million PDF reports and scans. The technical implementation leveraged both classical LSTM?based models and transformer?based approaches (BioBERT). Register now: https://lnkd.in/dG9VByJP Learn more: https://lnkd.in/dQCD2-Gw Quick registration via LinkedIn: https://lnkd.in/dfYHDrDu #LargeLanguageModels #HealthcareAI #MedicalLLMs #MachineLearning #AIinHealthcare #NLP #GenerativeAI #AIforHealth #DigitalHealth #HealthcareInnovation #ChatbotTherapy #AIinMedicine #HealthTech?

Ben Webster NLP Logix and David Talby will present Automating AI Governance for Healthcare Applications of Generative AI at #Healthcare #NLPSummit 2025. Organizations that develop or deploy #GenerativeAI solutions in healthcare are subject to more than 70 national and state laws, regulatory rules, and industry standards. Once an organization establishes an AI Governance framework, its policies will include dozens of controls that must be implemented for each AI project. This session describes a subset of these controls that can be automated with current tools: ? Automated execution of medical LLMS benchmarks during system testing and when monitoring in production, including coverage of medical ethics, medical errors, fairness and equity, safety and reliability – using Pacific AI ? Automating generation and executing of LLM test suites for custom solutions, including testing for robustness, bias, fairness, representation, and accuracy – using LangTest ? Automated generation of model cards, complying with transparency laws and including explained benchmark results – based on the CHAI draft model card standard Register now: https://lnkd.in/dG9VByJP Learn more: https://lnkd.in/gxv9VNmU Quick registration via LinkedIn: https://lnkd.in/dfYHDrDu #LargeLanguageModels #HealthcareAI #MedicalLLMs #MachineLearning #AIinHealthcare #ArtificialIntelligence #NLP #GenerativeAI

Molly M., Senior Data Scientist Forte Analytics will present Adversarial-Cooperative LLMs: Transforming Medicare Plan Selection for Seniors at #Healthcare #NLPSummit 2025. Molly proposes a novel system leveraging Adversarial-Cooperative #LargeLanguageModels (#LLMs) to assist seniors in navigating this decision-making process. By combining contextual awareness, #conversationalAI, and multi-agent systems, this approach provides personalized, data-driven recommendations that align with the user’s unique needs and concerns. Register now: https://lnkd.in/dG9VByJP Learn more: https://lnkd.in/gQ65YJs2 Quick registration via LinkedIn: https://lnkd.in/dfYHDrDu #LargeLanguageModels #HealthcareAI #MedicalLLMs #MachineLearning #AIinHealthcare #ArtificialIntelligence #NLP #GenerativeAI

Jabeen Fayyaz MD,DCH,MCPS, FCPS, CHSE, MHPE, PhD (Simulation), Associate Professor The Hospital for Sick Children will present Use of #AI and #LLM in Simulation Based Education at #Healthcare #NLPSummit 2025. AI and Large Language Models (LLMs) are revolutionizing simulation-based healthcare education by enhancing scalability, adaptability, and accessibility. These technologies enable dynamic, realistic scenarios, personalized learning, and real-time feedback. Key applications include automated debriefing systems, virtual patients for conversational training, and culturally sensitive scenario generation. AI analytics also help educators refine curricula based on learner performance. While promising, challenges such as ethical concerns, algorithmic bias, and data security need addressing. This integration is advancing healthcare outcomes globally, though careful consideration of potential issues is crucial. Register now: https://lnkd.in/dG9VByJP Learn more: https://lnkd.in/dXXtWB-A Quick registration via LinkedIn: https://lnkd.in/dfYHDrDu #MedEdTech #SimulationAI #AIinHealthcare #LLMs #SimulationBasedEducation #HealthcareTraining #GenerativeAI #MedicalEducation #PersonalizedLearning #VirtualPatients #DiagnosticReasoning #AIAnalytics #AutomatedDebriefing #AIinLearning #HealthcareInnovation #EthicalAI #AlgorithmicBias #DataSecurity #AIandLLM #HealthcareOutcomes #EdTech #AIinEducation

Shravan Kumar Koninti, Associate Director - DSAI Novartis will present #GenerativeAI in #LifeScience: Building Production Ready Solutions at #Healthcare #NLPSummit 2025. Discover how to implement enterprise-scale #GenAI solutions in #pharma - from $60-110B value potential to practical deployment strategies. Learn about hybrid architectures combining fine-tuning, #RAG, and custom models while addressing healthcare-specific challenges like #dataprivacy and #regulatorycompliance. Includes real-world insights from Novartis' #Legal and #SecurityAI implementations. Register now: https://lnkd.in/dG9VByJP Learn more: https://lnkd.in/dXvsaRav Quick registration via LinkedIn: https://lnkd.in/dfYHDrDu #PharmaAI #LLMOps #PharmaAI #AIinPharma #LifeSciencesAI #BiotechAI #HealthcareAI #AIinHealthcare #PredictiveMaintenance

Vickie Reyes Guideline Central & Alina Dia Trambitas-Miron, PhD will present on Matching Patients to #Clinical Guidelines at #Healthcare #NLPSummit 2025. Speakers will introduce a novel solution that automatically: ? Answers detailed questions about clinical guideline documents, including understanding visual tables, flowcharts, and fine?grained criteria. ? Matches a patient case, presented as an unstructured text summary, to the right guideline and the relevant section within that guideline for that specific patient right now. ? Explains its thinking and provides deep links into the relevant section of a guideline, that best answers a question or matches a given patient. The solution is the result of a partnership between #GuidelinesCentral – which curates current, practical, and easily accessible guidelines coming from over thirty?five medical societies and government agencies – and John Snow Labs – which provides state?of?the?art #MedicalLLMs that have been specifically tuned for reasoning on clinical guidelines. Register now: https://lnkd.in/dG9VByJP Learn more: https://lnkd.in/daZ28m_p Quick registration via LinkedIn: https://lnkd.in/dfYHDrDu #ClinicalGuidelines #AIinHealthcare #ArtificialIntelligence #NLP #GenerativeAI #CDS #LLMEvaluation #AIGovernance #MachineLearning

Louis Ehwerhemuepha, Data Science Research Director CHOC Children's will speak about the Testing for Bias in Clinical LLMs at #Healthcare #NLPSummit 2025. Register now: https://lnkd.in/dG9VByJP Learn more: https://lnkd.in/dbS6wSWj Quick registration via LinkedIn: https://lnkd.in/dfYHDrDu #AIBias #HealthEquity #HealthTech #MedicalAI #MachineLearning #ClinicalAI #EthicalAI #DataScience #PediatricAI #AIinMedicine #InclusiveAI

Veysel Kocaman, PhD our, CTO will present on Evaluating #MedicalLanguageModels for Real?World Applications at #Healthcare #NLPSummit 2025. Comparative analysis across Azure Health AI, AWS Comprehend Medical, GCP Healthcare Natural Language API, OpenAI’s GPT 4.5, Claude Sonnet 3.7, and John Snow Labs’ Medical LLMs. models for clinical documentation processing, anonymization, HCC coding accuracy, and more. Register now: https://lnkd.in/dG9VByJP Learn more: https://lnkd.in/dedVjz94 Quick registration via LinkedIn: https://lnkd.in/dfYHDrDu #LLMBenchmarks #MedicalAI #LargeLanguageModels #HealthcareAI #MedicalLLMs #AIinHealthcare #NLP #GenerativeAI

Chris Markson, Data Science Senior Manager Evernorth Health Services will present Using Generative AI for Data Extraction Clinical Support at #Healthcare #NLPSummit 2025. Clinical reviewers frequently face the challenge of adapting to diverse data sources and formats. To address this issue, Evernorth has developed an innovative clinical support tool designed to facilitate rapid and efficient access to necessary information, irrespective of data structure or format. The development of this end-to-end integrated solution within a six-month timeframe required cross-functional team collaboration and the implementation of cutting-edge methodologies. Utilizing advanced #naturallanguageprocessing (#NLP) techniques, #largelanguagemodels (#LLMs), and a cloud-based architecture, the resulting system demonstrates high accuracy and reliability. This presentation will outline the core principles guiding the project, key insights gained, and the achieved outcomes. Register now: https://lnkd.in/dG9VByJP Learn more: https://lnkd.in/dqtfG_TW Quick registration via LinkedIn: https://lnkd.in/dfYHDrDu #AIGovernance #LargeLanguageModels #HealthcareAI #MedicalLLMs #MachineLearning #AIinHealthcare #ArtificialIntelligence #NLP #GenerativeAI