Regulatory science for AI-based software as a medical device in computational pathology and biomarker-driven drug development.
PMID: 42436740 ·
Y, a, e, l, , L, i, e, b, e, s, -, P, e, e, r, ;, , S, h, l, o, m, o, , C, z, e, i, s, l, e, r, ;, , R, a, c, h, e, l, , B, r, o, d, e, r, i, c, k, ;, , M, a, n, u, e, l, a, , V, e, c, s, l, e, r, ;, , Y, a, i, r, , H, e, l, l, e, r, ;, , C, h, a, i, m, , L, i, n, h, a, r, t, ;, , J, o, s, e, p, h, , M, o, s, s, e, l, ;, , J, o, c, h, e, n, , K, , L, e, n, n, e, r, z
Publicidade
Resumo
Artificial intelligence (AI)-enabled software is increasingly integrated into digital and computational pathology, driving new regulatory and quality management requirements that extend beyond traditional laboratory practice and classical medical-device oversight. Practical, experience-based guidance on balancing development agility with global regulatory readiness remains limited for biomarker developers and translational pathologists navigating the convergence of AI governance, cybersecurity,
Publicidade
Fonte oficial
Ver no PubMed →Dados provenientes do PubMed / NCBI. Para consultar o texto integral e as informações mais recentes, recorra sempre ao registo oficial.