The evolution of surgical innovation needs to go beyond developments intraoperatively and into a continuum of postoperative recovery and care. While conventional recovery processes include standardization in recovery approaches and have proven effective for populations in which they were studied, they do not account for differences in individual physiology during recovery, behavioral compliance and adherence, and social determinants of health. Similarly to the previous correspondence, this reinforces the importance of integrating patient-centered digital health technologies within the surgical care process, enabling individualized, tailored, responsive, and data-informed recovery pathways^[1]. This manuscript upholds the ethical use and communication of AI-powered technologies in surgical caregiving routines in accordance with the TITAN 2025 Guidelines, focusing on AI reporting in healthcare systems^[2]. Susceptibility to slowed recovery after surgery (or during the recovery process) is unique to the patient based on multiple variables, including individual inflammatory responses, comorbidity scores, preoperative function and functional status, mental or psychological resilience, and overall emotional, mental, and social well-being. While there is great value in Enhanced Recovery After Surgery (ERAS) protocols and procedures for providing evidence-based practices to reduce perioperative morbidity and hospital length of stay, their normative framework will limit the ability of the patient and caregiver to individualize recovery without accommodating real-time, dynamic, and patient-based needs. We see the value of digital health platforms (especially mHealth platforms, wearable biosensors, and AI decision support systems) to continuously monitor postoperative patients and optimize individualized care