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Advance Case Management AI Knee Machine Learning, Johnson & Johnson
Speaker

Advance Case Management AI Knee Machine Learning

Johnson & Johnson

ACM introduced AI Knee and Hip Implant machine-learning driven predictions specifically for TKA (Total Knee Arthroplasty) and THA (Total Hip Arthroplasty). Utilizing images, surgeon preferences, and biometric data, ACM predicts implant sizing range, transforms the inventory replenishment process from reactive to proactive, drives efficiency throughout the supply chain, and improves speed and agility for accurate prediction to enhance preparation for individual patient surgery.

Lara R. Hamade - Sr Tech Product Manager, MedTech Hospital & Customer Solutions at Johnson & Johnson
Lara R. Hamade, MedTech Hospital & Customer Solutions, Sr Tech Product Manager, Johnson & Johnson, MedTech Hospital & Customer Solutions, Sr Tech Product Manager, Johnson & Johnson
Tejal Raoof - an organizational leader within J&J’s Digital Supply Chain (SC) healthcare technology organization
Tejal Raoof, Janssen Advanced Therapies Supply Chain Solutions, Sr Tech Product Manager, Johnson & Johnson, Janssen Advanced Therapies Supply Chain Solutions, Sr Tech Product Manager, Johnson & Johnson
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