EASY‐APP: an Artificial Intelligence Model and Application for Early and Easy Prediction of Severity in Acute Pancreatitis
Balazs Kui,Jozsef Pinter,Roland Molontay,Marcell Nagy,Nelli Farkas,Noemi Gede,Aron Vincze,Judit Bajor,Szilard Godi,Jozsef Czimmer,Imre Szabo,Anita Illes,Patricia Sarlos,Roland Hagendorn,Gabriella Par,Maria Papp,Zsuzsanna Vitalis,Gyorgy Kovacs,Eszter Feher,Ildiko Foldi,Ferenc Izbeki,Laszlo Gajdan,Roland Fejes,Balazs Csaba Nemeth,Imola Torok,Hunor Farkas,Artautas Mickevicius,Ville Sallinen,Shamil Galeev,Elena Ramirez-Maldonado,Andrea Parniczky,Balint Eross,Peter Jeno Hegyi,Katalin Marta,Szilard Vancsa,Robert Sutton,Peter Szatmary,Diane Latawiec,Chris Halloran,Enrique De-Madaria,Elizabeth Pando,Piero Alberti,Maria Jose Gomez-Jurado,Alina Tantau,Andrea Szentesi,Peter Hegyi Clinical and Translational Medicine（2022）
Key words
acute pancreatitis,artificial intelligence,severity prediction
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper