Trí tuệ nhân tạo tự động trong radiology nhi khoa: việc sử dụng và nhận thức về BoneXpert để đánh giá tuổi xương

Lecun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521:436–444

An understanding of AI’s limitations is starting to sink in. The Economist. https://www.economist.com/technology-quarterly/2020/06/11/an-understanding-of-ais-limitations-is-starting-to-sink-in. Accessed 14 Apr 2021

Gallix B, Chong J (2019) Artificial intelligence in radiology: who’s afraid of the big bad wolf? Eur Radiol 29:1637–1639

Langlotz CP (2019) Will artificial intelligence replace radiologists? Radiol Artif Intell 1:e190058

van Ginneken B (2018) Talk at ECR 2018: AI and radiologists — a painful divorce? Vimeo. https://vimeo.com/258232453. Accessed 10 Jan 2021

Greulich WW, Pyle SI (1959) Radiographic atlas of skeletal development of the hand and wrist, 2nd edn. Stanford University Press, Stanford

Thodberg HH, Kreiborg S, Juul A, Pedersen KD (2009) The BoneXpert method for automated determination of skeletal maturity. IEEE Trans Med Imaging 28:52–66

Pose Lepe G, Villacrés F, Fuente-Alba CS, Guiloff S (2018) Correlation in radiological bone age determination using the Greulich and Pyle method versus automated evaluation using BoneXpert software. Rev Chil Pediatr 89:606–611

Booz C, Yel I, Wichmann JL et al (2020) Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method. Eur Radiol Exp 4:6

Martin DD, Deusch D, Schweizer R et al (2009) Clinical application of automated Greulich-Pyle bone age determination in children with short stature. Pediatr Radiol 39:598–607

Unrath M, Thodberg HH, Schweizer R et al (2013) Automation of bone age reading and a new prediction model improve adult height prediction in children with short stature. Horm Res Paediatr 78:312–319

Martin DD, Meister K, Schweizer R et al (2011) Validation of automatic bone age rating in children with precocious and early puberty. J Pediatr Endocrinol Metab 24:1009–1014

Martin DD, Heil K, Heckmann C et al (2013) Validation of automatic bone age determination in children with congenital adrenal hyperplasia. Pediatr Radiol 43:1615–1621

Thodberg HH, Sävendahl L (2010) Validation and reference values of automated bone age determination for four ethnicities. Acad Radiol 17:1425–1432

Martin DD, Sato K, Sato M et al (2010) Validation of a new method for automated determination of bone age in Japanese children. Horm Res Paediatr 73:398–404

Alshamrani K, Hewitt A, Offiah AC (2020) Applicability of two bone age assessment methods to children from Saudi Arabia. Clin Radiol 75:156.e1–156.e9

Van Rijn RR, Thodberg HH (2013) Bone age assessment: automated techniques coming of age? Acta Radiol 54:1024–1029

Martin DD, Thodberg HH (2019) Validation of a new version of BoneXpert bone age in children with congenital adrenal hyperplasia (CAH), precocious puberty (PP), growth hormone deficiency (GHD), turner syndrome (TS), and other short stature diagnoses. Horm Res Paediatr 91:26

Halabi SS, Prevedello LM, Kalpathy-Cramer J et al (2019) The RSNA pediatric bone age machine learning challenge. Radiology 290:498–503

Martin DD, Wit JM, Hochberg Z et al (2011) The use of bone age in clinical practice — part 1. Horm Res Paediatr 76:1–9

Martin DD, Wit JM, Hochberg Z et al (2011) The use of bone age in clinical practice — part 2. Horm Res Paediatr 76:10–16

Tanner JM, Healy MJR, Goldstein H, Cameron N (2001) Assessment of skeletal maturity and prediction of adult height (TW3 method). W.B. Saunders, Philadelphia

Tanner JM, Whitehouse RH, Marshall WA et al (1975) Assessment of skeletal maturity and prediction of adult height. Academic Press, London

Tanner JM (1989) Review of “assessing the skeletal maturity of the hand-wrist: FELS method.”. Am J Hum Biol 1:493–494

Ording Müller LS, Offiah A, Adamsbaum C et al (2019) Bone age for chronological age determination — statement of the European Society of Paediatric Radiology musculoskeletal task force group. Pediatr Radiol 49:979–982

Armitage P, Berry G, Matthews JNS (1994) Statistical methods in medical research. Blackwell Science, Hoboken

Berst MJ, Dolan L, Bogdanowicz MM et al (2001) Effect of knowledge of chronologic age on the variability of pediatric bone age determined using the Greulich and Pyle standards. AJR Am J Roentgenol 176:507–510

Hosny A, Parmar C, Quackenbush J et al (2018) Artificial intelligence in radiology. Nat Rev Cancer 18:500–510

Wilson DM (1999) Regular monitoring of bone age is not useful in children treated with growth hormone. Pediatrics 104:1036–1039

Kaufman FR, Sy JP (1999) Regular monitoring of bone age is useful in children treated with growth hormone. Pediatrics 104:1039–1042

Kim JR, Shim WH, Yoon HM et al (2017) Computerized bone age estimation using deep learning based program: evaluation of the accuracy and efficiency. AJR Am J Roentgenol 209:1374–1380

Martin DD, Neuhof J, Jenni OG et al (2010) Automatic determination of left- and right-hand bone age in the first Zurich longitudinal study. Horm Res Paediatr 74:50–55