Editorial: Advancing gastrointestinal disease diagnosis with interpretable AI and edge computing for enhanced patient care

Handa, Palak ; Goel, Nidhi ; Krishnan, Sri ; Gunjan, Deepak ; Koulaouzidis, Anastasios ; Lanas, Angel (Universidad de Zaragoza)

Resumen: Editorial on the Research Topic Advancing gastrointestinal disease diagnosis with interpretable AI and edge computing for enhanced patient care

For decades, progress in gastrointestinal (GI) diagnostics has followed a familiar pattern: better optics, higher resolution imaging, and increasingly refined classification systems interpreted by trained clinicians (1). Despite remarkable advances in endoscopy and imaging technologies, clinical decision-making has remained fundamentally human-limited (2, 3). Detection depends on attention; interpretation depends on experience; and workflow efficiency depends on time. Modern gastroenterology rarely struggles to capture images; the challenge lies in the clinician's ability to review and interpret the sheer volume produced.

Idioma: Inglés

DOI: 10.3389/fmed.2026.1827042

Año: 2026

Publicado en: Frontiers in Medicine 13 (2026), 1827042 [4 p.]
ISSN: 2296-858X

Tipo y forma: (Versión definitiva)

Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)