Todd C. Hankinson

Machine learning predicts risk of cerebrospinal fluid shunt failure in children: a study from the hydrocephalus clinical research network

2021 · 24 Zit. · Child s Nervous System

Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors

2025 · 8 Zit. · Frontiers in Radiology

The Iterative Design Process of an Explainable AI Application for Non-Invasive Diagnosis of CNS Tumors: A User-Centered Approach

2023 · 5 Zit.

A Visual Analytics Framework for Assessing Interactive AI for Clinical Decision Support

2024 · 1 Zit.

Impact of AI Decision Support on Clinical Experts' Radiographic Interpretation of Adamantinomatous Craniopharyngioma.

2024 · 1 Zit. · PubMed