Clinical artificial intelligence: teaching a large language model to generate recommendations that align with guidelines for the surgical management of GERD.
Bright HuoNana MarfoPatricia SyllaElisa CalabreseSunjay KumarBethany J SlaterDanielle S WalshWesley VosburgPublished in: Surgical endoscopy (2024)
ChatGPT-4 can be customized to overcome limitations with its training dataset to provide recommendations for the surgical management of GERD with reliable accuracy and consistency. The training of LLM models can be used to help integrate this efficient technology into the creation of robust and accurate information for both surgeons and patients. Prospective data is needed to assess its effectiveness in a pragmatic clinical environment.
Keyphrases
- artificial intelligence
- big data
- clinical practice
- machine learning
- end stage renal disease
- deep learning
- ejection fraction
- randomized controlled trial
- newly diagnosed
- systematic review
- autism spectrum disorder
- virtual reality
- peritoneal dialysis
- quality improvement
- healthcare
- health information
- electronic health record
- gastroesophageal reflux disease
- mass spectrometry
- social media