Large language models (LLMs) are designed for recognizing, summarizing, translating, predicting, and generating text-based content from knowledge gained from extensive data sets. ChatGPT4 (Generative Pre-trained Transformer 4) (OpenAI, San Francisco, California, United States) is a transformer-based LLM model pretrained on public data as well as data obtained from third-party sources using deep learning techniques of fine tuning and reinforcement learning from human feedback to predict the next text. We wanted to explore the role of LLM as a teaching assistant (TA) in plastic surgery.
View Article and Find Full Text PDFPurpose: Defects involving the ankle and foot are often the result of road traffic accidents. Many such defects are composite and require a flap for coverage, which is a significant challenge for reconstructive surgeons. Various locoregional options, such as reverse sural artery, reverse peroneal artery, peroneus brevis muscle, perforator-based, and fasciocutaneous flaps, have been used, but each flap type has limitations.
View Article and Find Full Text PDFAim: Surgical correction of median mandibular cleft with ankylossia.
Background: Orofacial developmental abnormalities that involve the upper lip and face are the most common variety. The midline cleft of the mandible is one of the rarest categorized as Tessier #30, which extends along the midline of the mandible, along with ankyloglossia or aglossia.
Reconstruction of large foot and ankle defects is a difficult task due to less available local soft tissue and more critical from functional point of view. To overcome the limitations associated with locoregional flaps and free flaps, reverse peroneal artery (RPA) flap was selected and its usefulness in reconstruction of distal large defects of the ankle and foot and its complications were studied. This is a prospective observational study done in 20 patients treated as cohort within 2 years and 8 months from January 2018 to August 2020.
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