Juan Wachs
Computer Science · Purdue University West Lafayette
Publications
253
Citations
4,485
Est. group size
~13
Recurring co-author estimate
Active years
25
Publishing since 2002
Juan Wachs works at the intersection of computer science, robotics, and medicine, focusing on how artificial intelligence, computer vision, and gesture- or vision-based interfaces can support surgeons and emergency medical providers, especially in high-stress or resource-limited settings. His work spans touchless operating-room interfaces, vision-language models for injury assessment (such as burns), autonomous and remote-guided surgical systems, and datasets for training AI systems to assist in trauma and emergency care. Prospective students would likely engage with projects combining machine learning, human-computer interaction, and clinical decision support tools.
Publication output grew steadily from 2017 to a peak around 2020, then declined through 2024 before rising again in 2025-2026, suggesting a recent resurgence after a slower period.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Artificial intelligence in emergency surgery: a scoping review within the artificial intelligence in emergency and trauma surgery (ARIES) project
World Journal of Emergency Surgery · 2026
- Context-Aware Vision Language Model for Action Recognition
Lecture notes in computer science · 2026
- Clinical Decision Support for Extreme Prehospital Emergencies
Hot topics in acute care surgery and trauma · 2026
- Artificial Intelligent Assistants in Support of Trauma Surgery
Hot topics in acute care surgery and trauma · 2026
- Automated Unified Reasoning with Vision-Language Models for Multi-modal Burn Assessment
Open MIND · 2026
- Trauma THOMPSON: A Dataset and Realistic Generative Framework for AI Copilots in Emergency Care
Open MIND · 2026
- Automated Unified Reasoning with Vision-Language Models for Multi-modal Burn Assessment
Proceedings of the AAAI Conference on Artificial Intelligence · 2026
- Trauma THOMPSON: A Dataset and Realistic Generative Framework for AI Copilots in Emergency Care
Proceedings of the AAAI Conference on Artificial Intelligence · 2026
- Toward autonomous robotic-assisted and microrobotic surgery
Science Advances · 2026
- Democratizing advanced surgical guidance: decoupling the state-of-the-art from tertiary centers and breaking trail for autonomous robotic surgery in austere environments
2025
- Knowledge-Driven Hypothesis Generation for Burn Diagnosis from Ultrasound with Vision-Language Model
Lecture notes in computer science · 2025
- An Egocentric Life-Saving Interventional Procedure Dataset of Actions, Medical Questions, Maneuvers and Tools
Scientific Data · 2025
- The Trauma THOMPSON Dataset for Real-World Emergency AI
The Journal of Machine Learning for Biomedical Imaging · 2025
- The Trauma THOMPSON Challenge Report MICCAI 2023
Lecture notes in computer science · 2024
- Trauma THOMPSON: Clinical Decision Support for the Frontline Medic
Military Medicine · 2023
- arXiv (Cornell University)×17
- Military Medicine×10
- Lecture notes in computer science×6
- Canadian Journal of Surgery×5
- Human Factors The Journal of the Human Factors and Ergonomics Society×3
- Nicoletta Adamo‐Villani
Computer Science · Purdue University West Lafayette
- Fengming He
Computer Science · Purdue University West Lafayette
- Gregory J. Wiet
Medicine · The Ohio State University
- Md Masudur Rahman
Medicine · Purdue University West Lafayette
- Olivia K. Hernandez
Medicine · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile