AI Agents in Medicine: From ChatGPT to Baymax | The Healthcare AI Pod Ep. 5
Healthcare is facing a perfect storm: ageing populations, staff shortages, and rising costs. Can AI agents be the solution?
Timestamps:
0:00 Introduction – Baymax as inspiration for medical AI
2:20 What are LLM-based medical agents and how they differ from models
10:00 Healthcare security – regulation, compliance, and patient data
14:50 Patient reliance on AI, prompt-hacking, and global access challenges
18:00 Agent architectures – functional, role-based, and departmental approaches
25:10 Task decomposition and subject-matter expert input
28:00 Reward functions, accuracy vs user-pleasing bias, and physician training
33:00 User experience – agent personalities and conversational design
45:20 Liability, insurance, and evaluation of medical AI systems
54:20 Future outlook – Baymax revisited, challenges, and opportunities ahead
Mentioned Materials:
- A Survey of LLM-based Agents in Medicine: How far are we from Baymax? https://arxiv.org/abs/2502.11211
- MAGDA: Multi-agent guideline-driven diagnostic assistance https://arxiv.org/abs/2409.06351
Listen On:
Apple Podcasts: https://podcasts.apple.com/us/podcast/the-healthcare-ai-podcast/id1827098175
Spotify: https://open.spotify.com/show/2XNrQBeCY7OGql2jVhcP7t
Amazon Music: https://music.amazon.com/podcasts/5b1f49a6-dba8-479e-acdf-9deac2f8f60e/the-healthcare-ai-podcast
Connect With Us:
Website: https://www.johnsnowlabs.com/
LinkedIn: https://www.linkedin.com/company/johnsnowlabs/
Facebook: https://www.facebook.com/JohnSnowLabsInc/
X (Twitter): https://x.com/JohnSnowLabs
#HealthcareInnovation #HealthTech #DigitalHealth #MedicalInnovation #HealthcareAI #MedicalAI #AIinHealthcare #AIinMedicine #GenerativeAI #AIsafety #AIethics #ChatGPT
Видео AI Agents in Medicine: From ChatGPT to Baymax | The Healthcare AI Pod Ep. 5 канала John Snow Labs
Timestamps:
0:00 Introduction – Baymax as inspiration for medical AI
2:20 What are LLM-based medical agents and how they differ from models
10:00 Healthcare security – regulation, compliance, and patient data
14:50 Patient reliance on AI, prompt-hacking, and global access challenges
18:00 Agent architectures – functional, role-based, and departmental approaches
25:10 Task decomposition and subject-matter expert input
28:00 Reward functions, accuracy vs user-pleasing bias, and physician training
33:00 User experience – agent personalities and conversational design
45:20 Liability, insurance, and evaluation of medical AI systems
54:20 Future outlook – Baymax revisited, challenges, and opportunities ahead
Mentioned Materials:
- A Survey of LLM-based Agents in Medicine: How far are we from Baymax? https://arxiv.org/abs/2502.11211
- MAGDA: Multi-agent guideline-driven diagnostic assistance https://arxiv.org/abs/2409.06351
Listen On:
Apple Podcasts: https://podcasts.apple.com/us/podcast/the-healthcare-ai-podcast/id1827098175
Spotify: https://open.spotify.com/show/2XNrQBeCY7OGql2jVhcP7t
Amazon Music: https://music.amazon.com/podcasts/5b1f49a6-dba8-479e-acdf-9deac2f8f60e/the-healthcare-ai-podcast
Connect With Us:
Website: https://www.johnsnowlabs.com/
LinkedIn: https://www.linkedin.com/company/johnsnowlabs/
Facebook: https://www.facebook.com/JohnSnowLabsInc/
X (Twitter): https://x.com/JohnSnowLabs
#HealthcareInnovation #HealthTech #DigitalHealth #MedicalInnovation #HealthcareAI #MedicalAI #AIinHealthcare #AIinMedicine #GenerativeAI #AIsafety #AIethics #ChatGPT
Видео AI Agents in Medicine: From ChatGPT to Baymax | The Healthcare AI Pod Ep. 5 канала John Snow Labs
Healthcare AI Medical AI AI agents Baymax medical LLM AI in Healthcare Clinical AI Digital Health Healthcare Innovation Health Tech Patient Care Clinical Decision Support Medical Technology AI Ethics Generative AI in Medicine AI Safety Medical Reasoning medical chatbots Knowledge Graphs AI for Doctors healthcare solutions healthcare automation medical innovation HIPAA compliance
Комментарии отсутствуют
Информация о видео
24 сентября 2025 г. 21:05:11
00:57:19
Другие видео канала
Vector search without breaking the bank: Quantization and Adaptive Retrieval
Medical Language Models as AWS SageMaker private API endpoints
The Future of Financial Customer Engagement: Leveraging LLMs for Superior Financial Service
Applying Healthcare-Specific LLMs to Build Oncology Patient Timelines&Recommend Clinical Guidelines
Operationalizing NLP Models
![[WEBINAR] From GPT-4 to Llama-2: Supercharging State-of-the-Art Embeddings for Vector Databases](https://i.ytimg.com/vi/I_YpN3mgwqc/default.jpg)
[WEBINAR] From GPT-4 to Llama-2: Supercharging State-of-the-Art Embeddings for Vector Databases
Lessons learned deploying a LLM document processing system at scale
NLP Capability Implementation Lessons Learned- From Tech to Change Movement for Effective Adoption
Back to The Future: 1854, London – John Snow Fighting Cholera with GenAI
Is your #AI being Honest — or just Agreeable?
Medical LLMs, Tasks, and Tools for Healthcare NLP
Responsible AI Testing of Large Language Models
NLP for parsing of medical reports
State of the art natural language processing in healthcare webinar - John Snow Labs and Databricks
Open-Source Multimodal Data Ingestion and Enrichment at Scale with Spark NLP 6
De-Identification of Medical Images in DICOM Format
EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Records
End-to-End No-Code Development of NER model for Text with Annotation Lab
Extracting what, when, why, and how from Radiology Reports in Real World Data acquisition (2021)
Medical Language Models as private API endpoints on Databricks
Identifying and Mitigating Bias in AI Models for Recruiting
