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Artificial Intelligence in Hand Surgery - How Generative AI is Transforming the Hand Surgery Landscape.

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Summary
This summary is machine-generated.

Generative artificial intelligence (AI) shows potential to improve patient care, diagnosis, and treatment in healthcare. While offering benefits like administrative task automation, challenges in bias and integration require careful consideration for AI adoption.

Keywords:
Artificial intelligenceEducationElectronic medical records systemHand surgeryPatient care

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Area of Science:

  • Healthcare technology
  • Medical informatics
  • Artificial intelligence

Background:

  • Artificial intelligence (AI) has evolved significantly, with generative AI, particularly Large Language Models (LLMs), emerging as a transformative force in healthcare.
  • The introduction of ChatGPT has highlighted the potential of generative AI to revolutionize patient care, diagnosis, and treatment.
  • AI's history in healthcare dates back to the mid-20th century, with ongoing advancements shaping its current applications.

Purpose of the Study:

  • To explore the evolution and current applications of generative AI in healthcare.
  • To examine the potential of generative AI in patient care, education, and research.
  • To discuss the benefits and challenges associated with integrating generative AI into clinical settings.

Main Methods:

  • Review of AI advancements in healthcare, including historical context and recent developments like ChatGPT.
  • Analysis of generative AI applications in patient care, such as clinical document management, diagnostic support, and operative planning.
  • Case study insights from NUHS Russell-GPT implementation and a survey on AI adoption in clinical settings.

Main Results:

  • Generative AI offers promising solutions for clinical document management, diagnostic support, and surgical planning, with notable integrations into electronic medical records (EMRs).
  • Implementation of AI chatbots like NUHS Russell-GPT shows utility in administrative tasks but also highlights challenges in surgical planning and EMR integration.
  • A survey indicated unanimous support from healthcare professionals for incorporating AI into clinical settings.

Conclusions:

  • Generative AI is poised to enhance patient care and reduce physician workload by automating tasks, informing diagnoses, and aiding in treatment and surgical planning.
  • Despite challenges like bias and integration complexities, the potential benefits of AI in healthcare for both physicians and patients are significant.
  • The ongoing integration of AI into healthcare systems promises a future of transformed healthcare delivery, improving efficiency and outcomes.