Jacob Creswell

Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms

2021 · 256 Zit. · The Lancet Digital Health

Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians

2023 · 99 Zit. · Nature Medicine

Early user experience and lessons learned using ultra-portable digital X-ray with computer-aided detection (DXR-CAD) products: A qualitative study from the perspective of healthcare providers

2023 · 27 Zit. · PLoS ONE

User perspectives on the use of X-rays and computer-aided detection for TB

2022 · 8 Zit. · The International Journal of Tuberculosis and Lung Disease

Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians (CoDoC)

2022 · 4 Zit.

Can artificial intelligence (AI) be used to accurately detect tuberculosis (TB) from chest X-rays? An evaluation of five AI products for TB screening and triaging in a high TB burden setting

2020 · 3 Zit. · arXiv (Cornell University)

TB or not TB: does AI have an answer for children?

2024 · 2 Zit. · European Respiratory Journal