Artificial Intelligence: Singularity Approaches

TerKonda, Sarvam P.; TerKonda, Anurag A.; Sacks, Justin M.; Kinney, Brian M.; Gurtner, Geoff C.; Nachbar, James M.; Reddy, Sashank K.; Jeffers, Lynn L.

doi:10.1097/prs.0000000000010572

Cited by 5 publications

(3 citation statements)

References 65 publications

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“…Due to its incomplete mastery of guidelines and exceptional or speci c situations, the prevailing view of AI at present is that it can be a good assistant for doctors. 9,10,13,15 Singh and Nath noted in their review that AI is particularly bene cial in special cases, such as those of patients with rare diseases. 13 In surgeries where drug infusions are computer-assisted through closed-loop systems, the analysis of anesthesia depth and hemodynamic data has allowed the maintenance of vital parameters within narrower ranges.…”

Section: Discussionmentioning

confidence: 99%

“…7,8 AI technology is now being frequently used in elds such as plastic surgery, oncology, pulmonology, cardiology, orthopedics, hepatology, and neurology. 9 Studies have shown that AI is particularly bene cial in imaging and diagnostic processes in these elds. AI-assisted systems approved by the US Food and Drug Administration have begun to be used to locate congenital heart pathologies.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of AI applications and anesthesiologist's anesthesia method choices

ÇELİK,

TURGUT,

AYDOĞAN

et al. 2024

Preprint

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Background: In medicine, Artificial intelligence has begun to be utilized in nearly every domain, from medical devices to the interpretation of imaging studies. There is still a need for more experience and more studies related to the comprehensive use of AI in medicine. The aim of the present study is to evaluate the ability of AI to make decisions regarding anesthesia methods and to compare the most popular AI programs from this perspective. Methods: The study included orthopedic patients over 18 years of age scheduled for limb surgery within a 1-month period. Patients classified as ASA I-III who were evaluated in the anesthesia clinic during the preoperative period were included in the study. The anesthesia method preferred by the anesthesiologist during the operation and the patient’s demographic data, comorbidities, medications, and surgical history were recorded. The obtained patient data were discussed as if presenting a patient scenario using the free versions of the ChatGPT, Copilot, and Gemini applications by a different anesthesiologist who did not perform the operation. Results: Over the course of 1 month, a total of 72 patients were enrolled in the study. It was observed that both the anesthesia specialists and the Gemini application chose spinal anesthesia for the same patient in 68.5% of cases. This rate was higher compared to the other AI applications. For patients taking medication, it was observed that the Gemini application presented choices that were highly compatible (85.7%) with the anesthesiologists’ preferences. Conclusion: AI cannot fully master the guidelines and exceptional and specific cases that arrive in the course of medical treatment. Thus, we believe that AI can serve as a valuable assistant rather than replacing doctors.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of AI applications and anesthesiologist's anesthesia method choices

ÇELİK,

TURGUT,

AYDOĞAN

et al. 2024

Preprint

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“…AI has the potential to automate and streamline healthcare administrative systems, reducing the burden on healthcare providers and optimizing processes [49]. In the emerging era, AI has exhibited a remarkable ability to efficiently carry out administrative functions on par with human capabilities [50]. While it cannot completely supplant the indispensable role of humans in healthcare management, AI presents an opportunity to optimize and streamline these operations, thereby assisting providers in their day-to-day administrative responsibilities.…”

Section: Redundant Administrative Tasksmentioning

confidence: 99%

Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives

Bekbolatova,

Mayer,

Ong

et al. 2024

Healthcare

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Artificial intelligence (AI) has emerged as a crucial tool in healthcare with the primary aim of improving patient outcomes and optimizing healthcare delivery. By harnessing machine learning algorithms, natural language processing, and computer vision, AI enables the analysis of complex medical data. The integration of AI into healthcare systems aims to support clinicians, personalize patient care, and enhance population health, all while addressing the challenges posed by rising costs and limited resources. As a subdivision of computer science, AI focuses on the development of advanced algorithms capable of performing complex tasks that were once reliant on human intelligence. The ultimate goal is to achieve human-level performance with improved efficiency and accuracy in problem-solving and task execution, thereby reducing the need for human intervention. Various industries, including engineering, media/entertainment, finance, and education, have already reaped significant benefits by incorporating AI systems into their operations. Notably, the healthcare sector has witnessed rapid growth in the utilization of AI technology. Nevertheless, there remains untapped potential for AI to truly revolutionize the industry. It is important to note that despite concerns about job displacement, AI in healthcare should not be viewed as a threat to human workers. Instead, AI systems are designed to augment and support healthcare professionals, freeing up their time to focus on more complex and critical tasks. By automating routine and repetitive tasks, AI can alleviate the burden on healthcare professionals, allowing them to dedicate more attention to patient care and meaningful interactions. However, legal and ethical challenges must be addressed when embracing AI technology in medicine, alongside comprehensive public education to ensure widespread acceptance.

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