Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

B Koçak, A Ponsiglione, A Stanzione… - Diagnostic and …, 2024 - zora.uzh.ch
Although artificial intelligence (AI) methods hold promise for medical imaging-based
prediction tasks, their integration into medical practice may present a double-edged sword …

AI in radiology: From promise to practice− A guide to effective integration

B York, S Katal, A Gholamrezanezhad - European Journal of Radiology, 2024 - Elsevier
Abstract While Artificial Intelligence (AI) has the potential to transform the field of diagnostic
radiology, important obstacles still inhibit its integration into clinical environments. Foremost …

[HTML][HTML] The Frontiers of Smart Healthcare Systems

N Lin, R Paul, S Guerra, Y Liu, J Doulgeris, M Shi… - Healthcare, 2024 - mdpi.com
Artificial Intelligence (AI) is poised to revolutionize numerous aspects of human life, with
healthcare among the most critical fields set to benefit from this transformation. Medicine …

[HTML][HTML] Bias and cyberbullying detection and data generation using transformer artificial intelligence models and top large language models

Y Kumar, K Huang, A Perez, G Yang, JJ Li, P Morreale… - Electronics, 2024 - mdpi.com
Despite significant advancements in Artificial Intelligence (AI) and Large Language Models
(LLMs), detecting and mitigating bias remains a critical challenge, particularly on social …

Overcoming “Fear of AI” Bias: Insights from the Technology Acceptance Model

G Herpe, G D'Assignies, A Tang - RadioGraphics, 2024 - pubs.rsna.org
We read with great interest the article “Understanding and Mitigating Bias in Imaging
Artificial Intelligence” by Tejani et al (1) in the May 2024 issue of RadioGraphics. The article …

Invited Commentary: The Double-edged Sword of Bias in Medical Imaging Artificial Intelligence

P Rouzrokh, BJ Erickson - RadioGraphics, 2024 - pubs.rsna.org
It is our great pleasure to write this commentary on the excellent article by Tejani et al (1) on
understanding and mitigating unwanted bias in artificial intelligence (AI) tools applied to …

Evolving with artificial intelligence: integrating artificial intelligence and imaging informatics in a general residency curriculum with an advanced track

AS Tejani, RM Peshock, KM Raj - Journal of the American College of …, 2024 - Elsevier
Our curriculum and track facilitate formal opportunities for imaging informatics and AI
resident education, addressing fundamental and advanced topics. Residents responding to …

[HTML][HTML] Transforming Pharmacology Education: Insights from the Pharmacology Education Project in the Era of Digital Learning

JL Szarek, C Guilding, S Maxwell - European Journal of Pharmacology, 2025 - Elsevier
Abstract The IUPHAR Education Committee's Pharmacology Education Project (PEP; www.
pharmacologyeducation. org) provides an open-access, peer-reviewed platform to support …

Uncovering Demographic Bias in Natural Language Processing Tools for Radiology

W Cai - Radiology, 2024 - pubs.rsna.org
Wenli Cai, PhD, is the executive director of Global Alliance for Intelligent Oncology, served
as the director of 3D Quantitative Imaging Laboratory at Massachusetts General Hospital …

Reply to “No Boundaries: Ethical and Practical Challenges of Implementing Artificial Intelligence in Radiology in Diverse Health Systems”

SMA Bukhari, S Jiang, A Gupta - American Journal of Roentgenology, 2024 - ajronline.org
We read with great interest the letter submitted by Maldonado et al.[1], regarding our
article,“Deployment of Artificial Intelligence in Radiology: Strategies for Success”[2], and …