Verónica Vanessa Bastidas Pillalazo

Precision in high-risk surgical fields has evolved into a multidimensional paradigm that integrates technological innovation, advanced surgical techniques, and structured perioperative care. This review analyzes the translational principles shared between general surgery, neurosurgery, and minimally invasive approaches, with the aim of understanding how these elements interact to improve surgical outcomes. A structured integrative review was conducted using high-impact literature published from 2020 onward, focusing on key domains such as artificial intelligence, intraoperative monitoring, advanced visualization, laparoscopic and robotic surgery, and Enhanced Recovery After Surgery (ERAS) protocols. The findings demonstrate that precision in surgery is not determined by a single factor, but by the coordinated interaction of multiple components. Minimally invasive techniques serve as the structural foundation, while visualization technologies and intraoperative monitoring enhance real-time decision-making and safety. Artificial intelligence contributes to the standardization and support of surgical cognition, and perioperative protocols optimize recovery and reduce complications. Together, these elements form an integrated system that extends beyond the operating room and encompasses the entire surgical process. The review also highlights the adaptability of these principles across diverse healthcare settings, including regions such as Mexico, Colombia, and Ecuador, where variability in resources requires context-sensitive implementation. Ultimately, precision surgery is defined as a system-based approach that aligns technique, technology, and perioperative care to achieve optimal patient outcomes. This framework has important implications for clinical practice, surgical education, and future research.

Minimally invasive surgery has undergone significant transformation with the emergence of next-generation laparoscopy, characterized by the integration of ergonomic optimization, advanced visualization technologies, and intelligent assistance systems. This review aims to analyze the current state and future perspectives of laparoscopic surgery through these three core domains, emphasizing their combined impact on surgical performance, intraoperative safety, and clinical outcomes. A narrative review of high-impact literature published from 2020 onward was conducted, focusing on technological advancements and their application across diverse healthcare settings. The findings indicate that ergonomics remains a critical factor influencing surgeon performance and long-term sustainability, while innovations in visualization—such as three-dimensional imaging and fluorescence guidance—enhance spatial perception and operative precision. Additionally, the incorporation of artificial intelligence is redefining surgical workflows by enabling real-time analysis, safety assessment, and decision support. Despite these advances, disparities in access and implementation persist, particularly in middle-income regions such as Mexico, Colombia, and Ecuador. The evidence suggests that a progressive and context-adapted integration of these technologies is essential to ensure both innovation and accessibility. Ultimately, next-generation laparoscopy represents a shift toward a more integrated, data-driven, and human-centered surgical paradigm.

Decision-making in general surgery frequently occurs under conditions of uncertainty, where surgeons must integrate clinical judgment, risk assessment, timing, and system-level factors to optimize patient outcomes. This review aims to analyze current evidence on decision-making processes in general surgery, focusing on risk stratification, timing of intervention, and perioperative strategies. A structured narrative review was conducted using high-impact literature indexed in international databases, including multicenter cohort studies, systematic reviews, and validated predictive models. The findings demonstrate that higher preoperative risk is consistently associated with worse postoperative outcomes, particularly in urgent and emergency surgical settings. Timing of intervention emerged as a critical determinant, with elective procedures showing significantly lower mortality and complication rates compared to non-elective surgery. Additionally, structured perioperative strategies, including enhanced recovery protocols and safety systems, were associated with reduced complications and shorter hospital stays. The results also highlight that postoperative outcomes follow an interconnected pattern, where complications contribute to prolonged hospitalization, readmission, and mortality. Furthermore, the analysis underscores the importance of system-level factors, particularly in middle-income countries such as Mexico, Colombia, and Ecuador, where variability in resources and infrastructure influences surgical outcomes. The integration of data-driven tools and multidisciplinary approaches was identified as a key component in improving decision-making under uncertainty. In conclusion, optimizing surgical decision-making requires an integrated approach that combines objective risk assessment, timely intervention, structured perioperative care, and adaptation to local healthcare contexts. This framework supports improved patient outcomes and advances the quality of surgical care in diverse clinical settings.