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Toward More Rigorous Meta-Analyses of Artificial Intelligence in Radiology: Addressing Methodological Challenges and

Soheil Mohammadi1, Ronnie Sebro2, Ali Guermazi3

  • 1Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, Box 8225, St Louis, MO 63110.

Radiology. Artificial Intelligence
|June 10, 2026
PubMed
Abstract

No abstract available in PubMed .

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Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is: