Artificial Intelligence Surgery, Год журнала: 2025, Номер 5(1), С. 46 - 52
Опубликована: Янв. 10, 2025
Natural language processing (NLP) is the study of systems that allow machines to understand, interpret, and generate human language. With advent large models (LLMs), non-technical industries can also harness power NLP. This includes healthcare, specifically surgical care plastic surgery. manuscript an introductory review for surgeons understand current state future potential NLP in patient consultations. The integration into surgery consultations transform both documentation communication. These applications include information extraction, chart summarization, ambient transcription, coding, enhancing understanding, translation, a patient-facing chatbot. We discuss progress toward building these highlight their challenges. has personalize care, enhance satisfaction, improve workflows surgeons. Altogether, radically our model consultation one more patient-centered.
Язык: Английский
Процитировано
0Опубликована: Янв. 16, 2025
Язык: Английский
Процитировано
0Minerva Orthopedics, Год журнала: 2025, Номер 75(6)
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0JMIR Formative Research, Год журнала: 2025, Номер unknown
Опубликована: Янв. 16, 2025
Язык: Английский
Процитировано
0Knee Surgery Sports Traumatology Arthroscopy, Год журнала: 2025, Номер unknown
Опубликована: Март 13, 2025
Язык: Английский
Процитировано
0Cureus, Год журнала: 2025, Номер unknown
Опубликована: Апрель 6, 2025
Язык: Английский
Процитировано
0Arthroscopy The Journal of Arthroscopic and Related Surgery, Год журнала: 2025, Номер unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0BMC Medical Informatics and Decision Making, Год журнала: 2025, Номер 25(1)
Опубликована: Апрель 14, 2025
The integration of artificial intelligence (AI) in healthcare has rapidly expanded, particularly clinical decision-making. Large language models (LLMs) such as GPT-4 and GPT-3.5 have shown potential various medical applications, including diagnostics treatment planning. However, their efficacy specialized fields like sports surgery physiotherapy remains underexplored. This study aims to compare the performance decision-making within these domains using a structured assessment approach. cross-sectional included 56 professionals specializing physiotherapy. Participants evaluated 10 standardized scenarios generated by 5-point Likert scale. encompassed common musculoskeletal conditions, assessments focused on diagnostic accuracy, appropriateness, surgical technique detailing, rehabilitation plan suitability. Data were collected anonymously via Google Forms. Statistical analysis paired t-tests for direct model comparisons, one-way ANOVA assess across multiple criteria, Cronbach's alpha evaluate inter-rater reliability. significantly outperformed all criteria. Paired t-test results (t(55) = 10.45, p < 0.001) demonstrated that provided more accurate diagnoses, superior plans, detailed recommendations. confirmed higher suitability planning (F(1, 55) 35.22, protocols 32.10, 0.001). values indicated internal consistency (α 0.478) compared 0.234), reflecting reliable performance. demonstrates These findings suggest advanced AI can aid planning, strategies. should function decision-support tool rather than substitute expert judgment. Future studies explore into real-world workflows, validate larger datasets, additional beyond GPT series.
Язык: Английский
Процитировано
0Arthroscopy The Journal of Arthroscopic and Related Surgery, Год журнала: 2025, Номер unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Journal of the Pediatric Orthopaedic Society of North America, Год журнала: 2024, Номер unknown, С. 100135 - 100135
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
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