Stellenwert von Natural Language Processing und chatbasierten Generative Language ModelsSignificance of natural language processing and chat-based generative language models

[1] Thirunavukarasu AJ(2023)Large language models in medicine Nat Med 29 1930-1940

[2] Ting DSJ(2023)Natural language processing: state of the art, current trends and challenges Multimed Tools Appl 82 3713-3744

[3] Elangovan K(2022)Human language understanding & reasoning Dædalus 151 127-138

[4] Gutierrez L(2023)Artificial hallucinations in chatGPT: implications in scientific writing Cureus 15 e35179-694

[5] Tan TF(2020)GPT-3: its nature, scope, limits, and consequences Minds Mach 30 681-371

[6] Ting DSW(2023)Wie werden ChatGPT und andere KI-Anwendungen unseren ärztlichen Alltag verändern? Med Klin Intensiv Notfallmed 118 366-84

[7] Khurana D(2022)Rapamycin in the context of Pascal’s Wager: generative pre-trained transformer perspective Oncoscience 9 82-11

[8] Koli A(2021)Nearly 80 systematic reviews were published each day: observational study on trends in epidemiology and reporting over the years 2000–2019 J Clin Epidemiol 138 1-810

[9] Khatter K(2016)The third international consensus definitions for sepsis and septic shock (sepsis-3) JAMA 315 801-42

[10] Singh S(2019)Towards automatic encoding of medical procedures using convolutional neural networks and autoencoders Artif Intell Med 93 29-835

[1] Thirunavukarasu AJ(2023)Large language models in medicine Nat Med 29 1930-1940

[2] Ting DSJ(2023)Natural language processing: state of the art, current trends and challenges Multimed Tools Appl 82 3713-3744

[3] Elangovan K(2022)Human language understanding & reasoning Dædalus 151 127-138

[4] Gutierrez L(2023)Artificial hallucinations in chatGPT: implications in scientific writing Cureus 15 e35179-694

[5] Tan TF(2020)GPT-3: its nature, scope, limits, and consequences Minds Mach 30 681-371

[6] Ting DSW(2023)Wie werden ChatGPT und andere KI-Anwendungen unseren ärztlichen Alltag verändern? Med Klin Intensiv Notfallmed 118 366-84

[7] Khurana D(2022)Rapamycin in the context of Pascal’s Wager: generative pre-trained transformer perspective Oncoscience 9 82-11

[8] Koli A(2021)Nearly 80 systematic reviews were published each day: observational study on trends in epidemiology and reporting over the years 2000–2019 J Clin Epidemiol 138 1-810

[9] Khatter K(2016)The third international consensus definitions for sepsis and septic shock (sepsis-3) JAMA 315 801-42

[10] Singh S(2019)Towards automatic encoding of medical procedures using convolutional neural networks and autoencoders Artif Intell Med 93 29-835