Article
Biochemical Research Methods
Matt D. Nelson, Brady L. Goenner, Bruce K. Gale
Summary: ChatGPT is a generative AI model that has attracted significant attention due to its advanced reasoning and analysis capabilities. It can solve various problems by creating and debugging code. In this study, GPT-4 was utilized to design functional microfluidic components using the open-source CAD software OpenSCAD through iterative dialogue. This concept has the potential to advance CAD usage for both technical and non-technical users and can be extended to other fields.
Article
Education & Educational Research
Yanfang Su, Yun Lin, Chun Lai
Summary: Composing high-quality argumentative writing requires considering dialogue, structure, and language. However, finding an ideal peer for practicing argumentation skills can be challenging, and providing feedback on language and complex issues takes time. This article suggests integrating OpenAI's ChatGPT into argumentative writing classrooms to assist students with outlining, revising content, proofreading, and reflecting on their writing. Limitations of ChatGPT are acknowledged, and future considerations for teaching and research are offered.
Article
Critical Care Medicine
Michele Salvagno, Fabio Silvio Taccone, Alberto Giovanni Gerli
Summary: This paper discusses the use of Artificial Intelligence Chatbot in scientific writing, with a focus on ChatGPT, a chatbot developed by OpenAI. ChatGPT utilizes the GPT language model to understand and respond to natural language inputs. AI chatbots, including ChatGPT, are valuable tools in scientific writing, assisting researchers in material organization, draft generation, and proofreading. However, ethical concerns regarding plagiarism, accuracy, and accessibility imbalances need to be addressed, and a consensus on regulating the use of chatbots in scientific writing is necessary.
Article
Nursing
Grace H. Sun, Stephanie H. Hoelscher
Summary: ChatGPT, an AI-driven, pretrained, deep learning language model, has the potential to revolutionize nursing education. However, concerns about its ethical use in academia have raised the need for faculty to understand its capabilities and limitations and to create assignments that foster critical thinking, problem-solving, and independent learning.
Review
Surgery
Hilary Y. Liu, Mario Alessandri-Bonetti, Jose Antonio Arellano, Francesco M. Egro
Summary: This study examines the presence of ChatGPT in the plastic surgery literature. The analysis reveals its potential in research, clinical application, and surgical education, while also raising ethical concerns regarding patient privacy and information accuracy.
AESTHETIC PLASTIC SURGERY
(2023)
Article
Surgery
Wai Lone Jonathan Ho, Bilal Koussayer, Joseph Sujka
Summary: ChatGPT is a powerful medical writing tool that can generate human-like responses and provide valuable medical insight. However, it has limitations and should be used in conjunction with the author. Guidelines should be established to maximize the utility of natural language processing models like ChatGPT in clinical research.
SURGERY IN PRACTICE AND SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Qing Lang, Caifeng Zhang, Hengnian Qi, Yaqin Du, Xiaorong Zhu, Chu Zhang, Mizhen Li
Summary: Using AI technology to improve teaching and learning is an important goal of educational sustainability. By mining the correlation between knowledge points and sharing successful experiences, the efficiency and effectiveness of teaching and learning can be significantly improved. This study focuses on correcting stroke order errors in Chinese characters by exploring the correlation between error-prone characters and developing a personalized recommendation model for error-prone Chinese characters based on learners' writing records and collaborative filtering algorithms. The experimental results show that effective association rules can be excavated, and the recommendation performance of the model is higher than that of traditional models.
Article
Oncology
Kometh Thawanyarat, Thomas Johnstone, Mallory Rowley, Yelissa Navarro, Chandler Hinson, Rahim S. Nazerali
Summary: The timing between last neoadjuvant chemotherapy session and mastectomy with immediate reconstruction is important for optimizing postoperative outcomes. A longer time interval between chemotherapy and reconstruction is associated with a decreased likelihood of postoperative complications. The ideal time delay for reconstruction is between 4 and 8 weeks.
JOURNAL OF SURGICAL ONCOLOGY
(2023)
Article
Surgery
Kimberly A. Donnellan, Chandler S. Hinson, Addison C. Blevins, Katrina L. Weaver, Alicia C. Lintner, Charles C. Butts, Ashley Y. Williams, Yann-leei L. Lee, Jon D. Simmons, Andrew C. Bright
Summary: The use of CO2 lasers for treating hypertrophic burn scars is a common nonoperative option. Recent advances in laser technology have made the procedure more tolerable. This study demonstrates that treating refractory hypertrophic burn scars with a CO2 laser in an outpatient clinic is well tolerated and leads to high patient satisfaction.
ANNALS OF PLASTIC SURGERY
(2023)
Article
Clinical Neurology
Michael Pozin, Daniel Najafali, Anant Naik, Bailey MacInnis, Natasha Subbarao, Scott L. Zuckerman, Paul M. Arnold
Summary: This study examined long-term outcomes of sports-related spinal cord injury (SRSCI) using Functional Independence Measure (FIM) scoring. The study found that predictors of independence differed at one and five-year follow-up, depending on surgical and non-surgical management. This research contributes to our understanding of SRSCI patients and highlights the need for further investigation.
JOURNAL OF SPINAL CORD MEDICINE
(2023)
Letter
Surgery
Daniel Najafali, Erik Reiche, Justin M. Camacho, Shane D. Morrison, Amir H. Dorafshar
AESTHETIC SURGERY JOURNAL
(2023)
Letter
Surgery
Rohun Gupta, Isabel Herzog, Daniel Najafali, Peter Firouzbakht, Joseph Weisberger, Brian A. Mailey
AESTHETIC SURGERY JOURNAL
(2023)
Letter
Surgery
Daniel Najafali, Justin M. Camacho, Logan G. Galbraith, Erik Reiche, Amir H. Dorafshar, Shane D. Morrison
AESTHETIC SURGERY JOURNAL
(2023)
Letter
Surgery
Rohun Gupta, Kazimir Bagdady, Brian A. Mailey
AESTHETIC SURGERY JOURNAL
(2023)
Article
Surgery
Rohun Gupta, Isabel Herzog, John B. Park, Joseph Weisberger, Peter Firouzbakht, Vanessa Ocon, John Chao, Edward S. Lee, Brian A. Mailey
Summary: This study assessed the accuracy of ChatGPT as a tool for resident education by examining its performance on the PSITE. The results showed that ChatGPT answered 242 questions with an accuracy of 54.96%. The study concluded that ChatGPT has the potential to impact resident education by providing general knowledge, clarifying information, providing case-based learning, and promoting evidence-based medicine.
AESTHETIC SURGERY JOURNAL
(2023)
Editorial Material
Surgery
Rohun Gupta, Nathan Lu, Peter K. Firouzbakht, Brian A. Mailey
AESTHETIC SURGERY JOURNAL
(2023)
Editorial Material
Surgery
Rohun Gupta, Lawson E. Spence, Peter K. Firouzbakht, Brian A. Mailey
JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY
(2024)
Article
Surgery
Daniel Najafali, Chandler Hinson, Justin M. Camacho, Logan G. Galbraith, Tannon L. Tople, Danielle Eble, Brielle Weinstein, Loren S. Schechter, Amir H. Dorafshar, Shane D. Morrison
Summary: ChatGPT intermittently references evidence-based recommendations related to gender-affirming surgery (GAS) and is capable of describing aspects of gender diversity using neutral language. However, without being rooted in evidence-based recommendations, AI technology has the potential to spread misinformation. Therefore, AI can serve as a valuable tool for patient education on GAS.
EUROPEAN JOURNAL OF PLASTIC SURGERY
(2023)
Article
Cardiac & Cardiovascular Systems
Daniel Najafali, Thomas Johnstone, Melissa Pergakis, Adelina Buganu, Muhammad Ullah, Kim Vuong, Bhakti Panchal, Mark Sutherland, Karen L. Yarbrough, Michael S. Phipps, Gaurav Jindal, Quincy K. Tran
Summary: Mechanical thrombectomy (MT) is the standard treatment for acute ischemic stroke patients with large vessel occlusion (AIS-LVO). The impact of blood pressure variability (BPV) during MT on outcomes is not clear. A machine learning algorithm was used to predict patient characteristics associated with BPV indices. Age, admission NIHSS, mechanical ventilation, and TICI score were significantly associated with outcome.
JOURNAL OF THROMBOSIS AND THROMBOLYSIS
(2023)
Article
Surgery
Logan G. Galbraith, Daniel Najafali, James R. Gatherwright
Summary: This case report discusses the application of TMRpni technique in amputee patients, which effectively reduces phantom and nerve pain, leading to an improved quality of life post-operation.
