Beyond Algorithms: Conceptual Innovation in Medical Imaging AI
Artificial intelligence has driven rapid progress in medical imaging research, producing increasingly sophisticated algorithms and steady improvements on benchmark tasks. However, this algorithm-centric trajectory has also revealed a growing imbalance: while computational methods advance rapidly, the conceptual foundations that define imaging tasks, evaluation metrics, and clinical meaning sometimes remain underexamined. In this Perspective, we distinguish algorithmic innovation, which focuses on improving computational implementations and performance within a fixed problem definition, from conceptual innovation, which reframes what problems are posed, how success is measured, and why an ...
| Authors | Mark A. Anastasio |
|---|---|
| Primary category | eess.IV |
| Published | 17 June 2026 |
| Last updated at source | 17 June 2026 |
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