Artificial intelligence in perioperative management of major gastrointestinal surgeries

Solanki, Sohan Lal; Pandrowala, Saneya; Nayak, Abhirup; Bhandare, Manish; Ambulkar, Reshma; Shrikhande, Shailesh V.

doi:10.3748/wjg.v27.i21.2758

Cited by 17 publications

(9 citation statements)

References 91 publications

(91 reference statements)

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“…However, the primary advantage of AI lies in empowering anesthesiologists to adopt a proactive approach to address clinical issues. For example, AI has been used for presurgical evaluation [11][12][13], to predict patient responses to anesthesia [14], to automate drug dosing [15], to monitor patients during surgery [6], and other purposes [16][17][18][19][20][21][22][23][24][25][26][27] (Table 1). Pain Management AI can help adjust the dosage and administering of drugs to achieve optimal postoperative pain control.…”

Section: Ai In Anesthesiamentioning

confidence: 99%

Exploring Artificial Intelligence in Anesthesia: A Primer on Ethics, and Clinical Applications

et al. 2023

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The field of anesthesia has always been at the forefront of innovation and technology, and the integration of Artificial Intelligence (AI) represents the next frontier in anesthesia care. The use of AI and its subtypes, such as machine learning, has the potential to improve efficiency, reduce costs, and ameliorate patient outcomes. AI can assist with decision making, but its primary advantage lies in empowering anesthesiologists to adopt a proactive approach to address clinical issues. The potential uses of AI in anesthesia can be schematically grouped into clinical decision support and pharmacologic and mechanical robotic applications. Tele-anesthesia includes strategies of telemedicine, as well as device networking, for improving logistics in the operating room, and augmented reality approaches for training and assistance. Despite the growing scientific interest, further research and validation are needed to fully understand the benefits and limitations of these applications in clinical practice. Moreover, the ethical implications of AI in anesthesia must also be considered to ensure that patient safety and privacy are not compromised. This paper aims to provide a comprehensive overview of AI in anesthesia, including its current and potential applications, and the ethical considerations that must be considered to ensure the safe and effective use of the technology.

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Section: Ai In Anesthesiamentioning

confidence: 99%

Exploring Artificial Intelligence in Anesthesia: A Primer on Ethics, and Clinical Applications

et al. 2023

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“…Beyond merely identifying risks, AI algorithms play a crucial role in tailoring preoperative interventions by delving into intricate patient data and considering individualized factors such as comorbidities and lifestyle. This involves the formulation of personalized plans encompassing nutrition, exercise, and medication adjustments to optimize patient health and resilience leading up to surgery [ 9 ]. The integration of AI in preoperative optimization represents a proactive strategy aimed at diminishing the likelihood of complications and enhancing postoperative recovery outcomes.…”

Section: Reviewmentioning

confidence: 99%

“…AI-driven decision-support systems are now increasingly instrumental in shaping anesthesia plans. Leveraging a spectrum of patient data, encompassing medical history, physiological parameters, and outcomes from predictive modeling, these systems assist anesthesiologists in crafting tailored anesthesia strategies [ 9 ]. Through the comprehensive analysis of numerous variables, AI elevates the precision of anesthesia planning, ensuring that the selected approach is intricately aligned with the individualized needs and risks of each patient.…”

Section: Reviewmentioning

confidence: 99%

Revolutionizing Patient Care: A Comprehensive Review of Artificial Intelligence Applications in Anesthesia

Singam

2023

Cureus

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This review explores the intersection of artificial intelligence (AI) and anesthesia, examining its transformative impact on patient care across various phases. Beginning with a historical overview of anesthesia, we highlight the critical role of technological advancements in ensuring optimal patient outcomes. The emergence of AI in healthcare sets the stage for a comprehensive analysis of its applications in anesthesia. In the preoperative phase, AI facilitates personalized risk assessments and decision support, optimizing anesthesia planning and drug dosage predictions. Moving to the intraoperative phase, we delve into AI's role in monitoring and control through sophisticated anesthesia monitoring and closed-loop systems. Additionally, we discuss the integration of robotics and AI-guided procedures, revolutionizing surgical assistance. Transitioning to the postoperative phase, we explore AI-driven postoperative monitoring, predictive analysis for complications, and the integration of AI into rehabilitation programs and long-term follow-up. These new applications redefine patient recovery, emphasizing personalized care and proactive interventions. However, the integration of AI in anesthesia poses challenges and ethical considerations. Data security, interpretability, and bias in AI algorithms demand scrutiny. Moreover, the evolving patient-doctor relationship in an AI-driven care landscape requires a delicate balance between efficiency and human touch. Looking forward, we discuss the future directions of AI in anesthesia, anticipating advances in technology and AI algorithms. The integration of AI into routine clinical practice and its potential impact on anesthesia education and training are explored, emphasizing the need for collaboration, education, and ethical guidelines. This review provides a comprehensive overview of AI applications in anesthesia, offering insights into the present landscape, challenges, and future directions. The synthesis of historical perspectives, current applications, and future possibilities underscores the transformative potential of AI in revolutionizing patient care within the dynamic field of anesthesia.

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“…AI in surgical care can analyze real-time operative data and patient variables to anticipate adverse events, aid in surgery planning, and predict postoperative complications. It can also consolidate global surgical experiences for insights into unique cases [ 6 , 7 ]. Despite its potential, AI’s lack of empathy poses a challenge [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Healthcare: A Study of Physician Attitudes and Perceptions in Jeddah, Saudi Arabia

Alkhatieb,

Subke

2024

Cureus

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Background Artificial intelligence (AI) in healthcare is rapidly advancing, reshaping diagnostic, prognostic, and operational tasks in healthcare institutions. The adoption of AI among physicians is varied, with concerns over job loss, medical errors, and lack of emotional intelligence. This study aimed to assess physicians’ attitudes and perceptions toward AI in clinical practice in Jeddah, Saudi Arabia, and the factors affecting these attitudes and perceptions. Methodology A cross-sectional study was conducted among physicians at two major hospitals in Jeddah. An in-person digital survey consisted of questions regarding demographic characteristics, attitudes toward clinical AI, and perceptions of AI’s impact on healthcare. Results Of the 205 participants, 76% agreed on the accuracy of AI systems, and 60% acknowledged their efficiency as a factor that could influence their willingness to use clinical AI. However, only 25.9% reported using these systems in the past year, with the majority, 74.1%, indicating they had never used them. Notably, there was a significant association between gender and attitude toward AI, with males being more likely to have a positive attitude (p = 0.01). Conclusions While the majority of participants recognized the potential benefits of AI in healthcare, its actual utilization was low. The findings suggest the need for increased AI-related training and education among physicians and the fostering of collaboration between computer scientists, engineers, and medical professionals to accelerate the development of clinically relevant AI tools.

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Artificial intelligence in perioperative management of major gastrointestinal surgeries

Cited by 17 publications

References 91 publications

Exploring Artificial Intelligence in Anesthesia: A Primer on Ethics, and Clinical Applications

Exploring Artificial Intelligence in Anesthesia: A Primer on Ethics, and Clinical Applications

Revolutionizing Patient Care: A Comprehensive Review of Artificial Intelligence Applications in Anesthesia

Artificial Intelligence in Healthcare: A Study of Physician Attitudes and Perceptions in Jeddah, Saudi Arabia

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