Jahnavi Anilkumar
Kachhia
Senior Machine Learning Engineer at Accompany Health
" AI as a Medical Co-Pilot: LLMs in Clinical Decision Support Systems"
" AI as a Medical Co-Pilot: LLMs in Clinical Decision Support Systems"
Wed May 13 - 12:50 PM EDT/New York (See in local time)
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05/13/2026 12:50 PM
05/13/2026 01:10 PM
America/New_York
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" AI as a Medical Co-Pilot: LLMs in Clinical Decision Support Systems"
#WTGC2026
" AI as a Medical Co-Pilot: LLMs in Clinical Decision Support Systems"
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" AI as a Medical Co-Pilot: LLMs in Clinical Decision Support Systems"
" AI as a Medical Co-Pilot: LLMs in Clinical Decision Support Systems"
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Session: AI as a Medical Co-Pilot: LLMs in Clinical Decision Support Systems
Large Language Models (LLMs) are rapidly transforming healthcare, moving beyond automation toward becoming intelligent medical co-pilots that support clinicians in real-time decision-making. This session explores how LLM-powered Clinical Decision Support Systems (CDSS) can enhance diagnostic accuracy, reduce cognitive burden, and improve patient outcomes while maintaining safety, explainability, and regulatory compliance.Attendees will gain insights into real-world use cases of LLMs in clinical workflows, including triage support, differential diagnosis, care recommendations, and documentation assistance. The talk will also address critical challenges such as data privacy, bias mitigation, model validation, and ethical governance in high-stakes medical environments.
Designed for both technology leaders and innovators, this session bridges the gap between advanced AI capabilities and executive decision-making, offering a practical framework for adopting trustworthy, scalable, and clinically responsible AI solutions in healthcare and health-tech startups.
Key Takeaways
- How LLMs can function as reliable medical co-pilots within clinical decision support systems. Practical considerations for integrating AI into real-world clinical workflows. Key risks in medical AI (bias, safety, privacy) and strategies to mitigate them
Bio
Jahnavi Kachhia is the Senior Machine Learning Engineer at Accompany health, leading AI initiatives to enhance clinical decision-making and patient outcomes. Previously at Meta’s Reality Labs, she advanced AR/VR innovation and multi-modal LLM systems. She serves as a Program Committee member for IJCAI 2025/2026 and PAKDD 2026, reviewing top AI conferences. Her expertise spans Generative AI, LLM fine-tuning, predictive and multimodal modeling, MLOps, and applied AI in healthcare.