Public articles linked to the same research event.
Journal of minimally invasive surgery This review reorganizes the surgical AI literature around decision points rather than algorithmic type or predicted outcomes, examining PubMed-indexed studies from 2015 to 2025 and finding that preoperative AI predominantly supports patient selection and treatment planning under diagnostic uncertainty while postoperative AI mainly supports time-sensitive management and prognostic assessment, thereby reframing surgical AI as an integral component of phase-specific clinical decision pathways across the surgical care continuum rather than a standalone predictive instrument.
This review reorganizes the surgical AI literature around decision points rather than algorithmic type or predicted outcomes, examining PubMed-indexed studies from 2015 to 2025 and finding that preoperative AI predominantly supports patient selection and treatment planning under diagnostic uncertainty while postoperative AI mainly supports time-sensitive management and prognostic assessment, thereby reframing surgical AI as an integral component of phase-specific clinical decision pathways across the surgical care continuum rather than a standalone predictive instrument.
This review reorganizes the surgical AI literature around decision points rather than algorithmic type or predicted outcomes, examining PubMed-indexed studies from 2015 to 2025 and finding that preoperative AI predominantly supports patient selection and treatment planning under diagnostic uncertainty while postoperative AI mainly supports time-sensitive management and prognostic assessment, thereby reframing surgical AI as an integral component of phase-specific clinical decision pathways across the surgical care continuum rather than a standalone predictive instrument.
This review reorganizes the surgical AI literature around decision points rather than algorithmic type or predicted outcomes, examining PubMed-indexed studies from 2015 to 2025 and finding that preoperative AI predominantly supports patient selection and treatment planning under diagnostic uncertainty while postoperative AI mainly supports time-sensitive management and prognostic assessment, thereby reframing surgical AI as an integral component of phase-specific clinical decision pathways across the surgical care continuum rather than a standalone predictive instrument.