{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T08:48:52Z","timestamp":1792226932105,"version":"4.4.0"},"reference-count":52,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T00:00:00Z","timestamp":1716422400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010618","name":"Guangzhou University of Chinese Medicine","doi-asserted-by":"publisher","award":["SY2021005"],"award-info":[{"award-number":["SY2021005"]}],"id":[{"id":"10.13039\/501100010618","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["slas-technology.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["SLAS Technology"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1016\/j.slast.2024.100149","type":"journal-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T18:11:43Z","timestamp":1716487903000},"page":"100149","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":10,"title":["Machine-learning models for diagnosis of rotator cuff tears in osteoporosis patients based on anteroposterior X-rays of the shoulder joint"],"prefix":"10.1016","volume":"29","author":[{"given":"Yu","family":"Zhao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingjing","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4268-4004","authenticated-orcid":false,"given":"Yang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Attique","family":"Khan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Wan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6654-413X","authenticated-orcid":false,"given":"Lihua","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.slast.2024.100149_bib0001","doi-asserted-by":"crossref","first-page":"2096","DOI":"10.1056\/NEJMcp1513724","article-title":"Postmenopausal Osteoporosis","volume":"374","author":"Black","year":"2016","journal-title":"New Engl J Med"},{"key":"10.1016\/j.slast.2024.100149_bib0002","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1186\/s13018-021-02821-8","article-title":"Global prevalence of osteoporosis among the world older adults: a comprehensive systematic review and meta-analysis","volume":"16","author":"Salari","year":"2021","journal-title":"J Orthop Surg Res"},{"key":"10.1016\/j.slast.2024.100149_bib0003","doi-asserted-by":"crossref","first-page":"5103","DOI":"10.1021\/acsnano.8b08190","article-title":"Degenerately Doped Transition Metal Dichalcogenides as Ohmic Homojunction Contacts to Transition Metal Dichalcogenide Semiconductors","volume":"13","author":"Gao","year":"2019","journal-title":"ACS Nano"},{"key":"10.1016\/j.slast.2024.100149_bib0004","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.arthro.2020.07.044","article-title":"The 50 Highest Cited Papers on Rotator Cuff Tear","volume":"37","author":"Familiari","year":"2021","journal-title":"Arthroscopy"},{"key":"10.1016\/j.slast.2024.100149_bib0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.csm.2022.08.001","article-title":"Surgery and Rotator Cuff Disease: A Review of the Natural History, Indications, and Outcomes of Nonoperative and Operative Treatment of Rotator Cuff Tears","volume":"42","author":"Moran","year":"2023","journal-title":"Clin Sport Med"},{"key":"10.1016\/j.slast.2024.100149_bib0006","doi-asserted-by":"crossref","first-page":"1198","DOI":"10.2106\/JBJS.16.00770","article-title":"Relationship Between Age and Rotator Cuff Retear: A Study of 1,600 Consecutive Rotator Cuff Repairs","volume":"99","author":"Diebold","year":"2017","journal-title":"J Bone Joint Surg Am"},{"key":"10.1016\/j.slast.2024.100149_bib0007","doi-asserted-by":"crossref","first-page":"e10","DOI":"10.1097\/JSA.0000000000000202","article-title":"Anatomy and Physical Examination of the Shoulder","volume":"26","author":"Bakhsh","year":"2018","journal-title":"Sports Med Arthrosc"},{"key":"10.1016\/j.slast.2024.100149_bib0008","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1007\/s00774-021-01293-4","article-title":"Osteoporosis increases the risk of rotator cuff tears: a population-based cohort study","volume":"40","author":"Hong","year":"2022","journal-title":"J Bone Miner Metab"},{"key":"10.1016\/j.slast.2024.100149_bib0009","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.otsr.2013.11.009","article-title":"Does bone density of the greater tuberosity change in patients over 70?","volume":"100","author":"Clavert","year":"2014","journal-title":"Orthop Traumatol-Sur"},{"key":"10.1016\/j.slast.2024.100149_bib0010","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/s11420-017-9574-4","article-title":"The Primary Stability of a Bioabsorbable Poly-L-Lactic Acid Suture Anchor for Rotator Cuff Repair Is Not Improved with Polymethylmethacrylate or Bioabsorbable Bone Cement Augmentation","volume":"14","author":"Gulecyuz","year":"2018","journal-title":"Hss J"},{"key":"10.1016\/j.slast.2024.100149_bib0011","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.jse.2007.04.017","article-title":"The relationship between greater tuberosity osteopenia and the chronicity of rotator cuff tears","volume":"17","author":"Cadet","year":"2008","journal-title":"J Shoulder Elb Surg"},{"key":"10.1016\/j.slast.2024.100149_bib0012","doi-asserted-by":"crossref","first-page":"904","DOI":"10.1016\/j.jse.2010.12.009","article-title":"Bone density of the greater tuberosity is decreased in rotator cuff disease with and without full-thickness tears","volume":"20","author":"Waldorff","year":"2011","journal-title":"J Shoulder Elb Surg"},{"key":"10.1016\/j.slast.2024.100149_bib0013","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.ocl.2018.10.006","article-title":"Surgical Considerations in Managing Osteoporosis, Osteopenia, and Vitamin D Deficiency During Arthroscopic Rotator Cuff Repair","volume":"50","author":"Entezari","year":"2019","journal-title":"Orthop Clin N Am"},{"key":"10.1016\/j.slast.2024.100149_bib0014","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.jse.2009.04.006","article-title":"Prevalence and risk factors of a rotator cuff tear in the general population","volume":"19","author":"Yamamoto","year":"2010","journal-title":"J Shoulder Elb Surg"},{"key":"10.1016\/j.slast.2024.100149_bib0015","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.arthro.2012.06.024","article-title":"An evidenced-based examination of the epidemiology and outcomes of traumatic rotator cuff tears","volume":"29","author":"Mall","year":"2013","journal-title":"Arthroscopy"},{"key":"10.1016\/j.slast.2024.100149_bib0016","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.saa.2015.02.054","article-title":"Selectivity enhancement of Arsenazo(III) reagent towards heavier lanthanides using polyaminocarboxylic acids: a spectrophotometric study","volume":"145","author":"Matharu","year":"2015","journal-title":"Spectrochim Acta A"},{"key":"10.1016\/j.slast.2024.100149_bib0017","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1007\/s00223-002-0013-9","article-title":"Three-dimensional distribution of bone density in the proximal humerus","volume":"73","author":"Tingart","year":"2003","journal-title":"Calcified Tissue Int"},{"key":"10.1016\/j.slast.2024.100149_bib0018","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1016\/j.jse.2013.09.024","article-title":"Measurement of volumetric bone mineral density in proximal humerus using quantitative computed tomography in patients with unilateral rotator cuff tear","volume":"23","author":"Oh","year":"2014","journal-title":"J Shoulder Elb Surg"},{"key":"10.1016\/j.slast.2024.100149_bib0019","doi-asserted-by":"crossref","first-page":"16574","DOI":"10.1038\/s41598-023-43850-z","article-title":"CT and MR for bone mineral density and trabecular bone score assessment in osteoporosis evaluation","volume":"13","author":"Lee","year":"2023","journal-title":"Sci Rep-UK"},{"key":"10.1016\/j.slast.2024.100149_bib0020","doi-asserted-by":"crossref","first-page":"857","DOI":"10.3928\/0147-7447-20040801-22","article-title":"Changes in bone mineral density of the proximal humerus in Koreans: suture anchor in rotator cuff repair","volume":"27","author":"Park","year":"2004","journal-title":"Orthopedics"},{"key":"10.1016\/j.slast.2024.100149_bib0021","doi-asserted-by":"crossref","DOI":"10.1155\/2013\/895474","article-title":"Comparison of QCT and DXA: Osteoporosis Detection Rates in Postmenopausal Women","volume":"2013","author":"Li","year":"2013","journal-title":"Int J Endocrinol"},{"key":"10.1016\/j.slast.2024.100149_bib0022","doi-asserted-by":"crossref","first-page":"2843","DOI":"10.1007\/s00330-019-06639-1","article-title":"Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph","volume":"30","author":"Kim","year":"2020","journal-title":"Eur Radiol"},{"key":"10.1016\/j.slast.2024.100149_bib0023","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1109\/TII.2022.3190405","article-title":"Healthcare Data Quality Assessment for Cybersecurity Intelligence","volume":"19","author":"Li","year":"2023","journal-title":"IEEE T Ind Inform"},{"key":"10.1016\/j.slast.2024.100149_bib0024","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1148\/radiol.2015151169","article-title":"Radiomics: Images Are More than Pictures, They Are Data","volume":"278","author":"Gillies","year":"2016","journal-title":"Radiology"},{"key":"10.1016\/j.slast.2024.100149_bib0025","doi-asserted-by":"crossref","first-page":"224","DOI":"10.7326\/M22-1034","article-title":"Pharmacologic Treatment of Primary Osteoporosis or Low Bone Mass to Prevent Fractures in Adults: A Living Clinical Guideline From the American College of Physicians","volume":"176","author":"Qaseem","year":"2023","journal-title":"Ann Intern Med"},{"key":"10.1016\/j.slast.2024.100149_bib0026","doi-asserted-by":"crossref","first-page":"e193","DOI":"10.5435\/JAAOS-D-19-00463","article-title":"Management of Rotator Cuff Injuries","volume":"28","author":"Weber","year":"2020","journal-title":"J Am Acad Orthop Sur"},{"key":"10.1016\/j.slast.2024.100149_bib0027","doi-asserted-by":"crossref","first-page":"71","DOI":"10.2106\/00004623-200101000-00010","article-title":"Surgical repair of chronic rotator cuff tears. A prospective long-term study","volume":"83","author":"Cofield","year":"2001","journal-title":"J Bone Joint Surg Am"},{"key":"10.1016\/j.slast.2024.100149_bib0028","article-title":"Effect of Bone Mineral Density on Rotator Cuff Tear: An Osteoporotic Rabbit Model","volume":"10","author":"Chen","year":"2015","journal-title":"PLoS One"},{"key":"10.1016\/j.slast.2024.100149_bib0029","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1016\/S0278-5919(20)30586-X","article-title":"The relationship of acromial architecture to rotator cuff disease","volume":"10","author":"Bigliani","year":"1991","journal-title":"Clin Sport Med"},{"key":"10.1016\/j.slast.2024.100149_bib0030","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1148\/rg.264055087","article-title":"MR imaging of rotator cuff injury: what the clinician needs to know","volume":"26","author":"Morag","year":"2006","journal-title":"Radiographics"},{"key":"10.1016\/j.slast.2024.100149_bib0031","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.jor.2013.01.008","article-title":"Prevalence of symptomatic and asymptomatic rotator cuff tears in the general population: From mass-screening in one village","volume":"10","author":"Minagawa","year":"2013","journal-title":"J Orthop"},{"key":"10.1016\/j.slast.2024.100149_bib0032","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1177\/1758573217743942","article-title":"The accuracy of plain radiographs in diagnosing degenerate rotator cuff disease","volume":"11","author":"Chin","year":"2019","journal-title":"Shoulder Elbow"},{"key":"10.1016\/j.slast.2024.100149_bib0033","doi-asserted-by":"crossref","first-page":"1316","DOI":"10.1136\/bjsports-2014-094148","article-title":"Diagnostic accuracy of ultrasonography, MRI and MR arthrography in the characterisation of rotator cuff disorders: a systematic review and meta-analysis","volume":"49","author":"Roy","year":"2015","journal-title":"Brit J Sport Med"},{"key":"10.1016\/j.slast.2024.100149_bib0034","doi-asserted-by":"crossref","first-page":"197","DOI":"10.11152\/mu-2352","article-title":"Diagnostic performance of ultrasound for rotator cuff tears: a systematic review and meta-analysis","volume":"22","author":"Liang","year":"2020","journal-title":"Med Ultrason"},{"key":"10.1016\/j.slast.2024.100149_bib0035","doi-asserted-by":"crossref","first-page":"e5022","DOI":"10.1002\/nbm.5022","article-title":"MRI scarcity in low- and middle-income countries","volume":"36","author":"Jalloul","year":"2023","journal-title":"NMR Biomed"},{"key":"10.1016\/j.slast.2024.100149_bib0036","article-title":"Deep learning-based screening tool for rotator cuff tears on shoulder radiography","author":"Iio","year":"2023","journal-title":"J Orthop Sci"},{"key":"10.1016\/j.slast.2024.100149_bib0037","article-title":"Re-tear after arthroscopic rotator cuff tear surgery: risk analysis using machine learning","author":"Shinohara","year":"2023","journal-title":"J Shoulder Elb Surg"},{"key":"10.1016\/j.slast.2024.100149_bib0038","first-page":"1","article-title":"Explainable human-in-the-loop healthcare image information quality assessment and selection","author":"Li","year":"2023","journal-title":"CAAI T Intell Techno"},{"key":"10.1016\/j.slast.2024.100149_bib0039","doi-asserted-by":"crossref","DOI":"10.3390\/s22030807","article-title":"Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion","volume":"22","author":"Jabeen","year":"2022","journal-title":"Sensors-Basel"},{"key":"10.1016\/j.slast.2024.100149_bib0040","doi-asserted-by":"crossref","DOI":"10.3390\/diagnostics13010101","article-title":"D(2)BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI Scans","volume":"13","author":"Hamza","year":"2022","journal-title":"Diagnostics"},{"key":"10.1016\/j.slast.2024.100149_bib0041","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1177\/2472630320958376","article-title":"Detection of COVID-19 from Chest X-Ray Images Using Convolutional Neural Networks","volume":"25","author":"Sekeroglu","year":"2020","journal-title":"Slas Technol"},{"key":"10.1016\/j.slast.2024.100149_bib0042","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.slast.2021.10.011","article-title":"COVID-19 detection using chest X-ray images based on a developed deep neural network","volume":"27","author":"Mousavi","year":"2022","journal-title":"Slas Technol"},{"key":"10.1016\/j.slast.2024.100149_bib0043","first-page":"237","article-title":"Predicting rotator cuff tear severity using radiographic images and machine learning techniques","author":"Cho","year":"2021","journal-title":"Association for Computing Machinery"},{"key":"10.1016\/j.slast.2024.100149_bib0044","article-title":"Distance-Entropy: An Effective Indicator for Selecting Informative Data","volume":"12","author":"Li","year":"2021","journal-title":"Front Plant Sci"},{"key":"10.1016\/j.slast.2024.100149_bib0045","first-page":"309","author":"Li","year":"2022","journal-title":"Disturbed-entropy: a simple data quality assessment approach"},{"key":"10.1016\/j.slast.2024.100149_bib0046","first-page":"8798","article-title":"Semisupervised few-shot remote sensing image classification based on KNN distance entropy","volume":"15","author":"Chao","year":"2022","journal-title":"IEEE J Stars"},{"key":"10.1016\/j.slast.2024.100149_bib0047","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1007\/s00256-002-0536-6","article-title":"Trabecular microstructure and surface changes in the greater tuberosity in rotator cuff tears","volume":"31","author":"Jiang","year":"2002","journal-title":"Skeletal Radiol"},{"key":"10.1016\/j.slast.2024.100149_bib0048","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.jse.2003.12.016","article-title":"Association of osteopenia of the humeral head with full-thickness rotator cuff tears","volume":"13","author":"Meyer","year":"2004","journal-title":"J Shoulder Elb Surg"},{"key":"10.1016\/j.slast.2024.100149_bib0049","doi-asserted-by":"crossref","first-page":"2077","DOI":"10.1016\/j.arthro.2021.01.059","article-title":"Greater Tuberosity Bone Mineral Density and Rotator Cuff Tear Size Are Independent Factors Associated With Cutting-Through in Arthroscopic Suture-Bridge Rotator Cuff Repair","volume":"37","author":"Lee","year":"2021","journal-title":"Arthroscopy"},{"key":"10.1016\/j.slast.2024.100149_bib0050","first-page":"e13425","article-title":"Data and domain knowledge dual-driven artificial intelligence: Survey, applications, and challenges","author":"Nie","year":"2023","journal-title":"Expert Syst"},{"key":"10.1016\/j.slast.2024.100149_bib0051","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1177\/2472630319890316","article-title":"CURATE.AI: Optimizing Personalized Medicine with Artificial Intelligence","volume":"25","author":"Blasiak","year":"2020","journal-title":"Slas Technol"},{"key":"10.1016\/j.slast.2024.100149_bib0052","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1177\/2472630320982260","article-title":"AI in Process Automation","volume":"26","author":"Undey","year":"2021","journal-title":"Slas Technol"}],"container-title":["SLAS Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2472630324000311?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2472630324000311?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T05:05:48Z","timestamp":1747285548000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2472630324000311"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":52,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["S2472630324000311"],"URL":"https:\/\/doi.org\/10.1016\/j.slast.2024.100149","relation":{},"ISSN":["2472-6303"],"issn-type":[{"value":"2472-6303","type":"print"}],"subject":[],"published":{"date-parts":[[2024,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Machine-learning models for diagnosis of rotator cuff tears in osteoporosis patients based on anteroposterior X-rays of the shoulder joint","name":"articletitle","label":"Article Title"},{"value":"SLAS Technology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.slast.2024.100149","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Authors. Published by Elsevier Inc. on behalf of Society for Laboratory Automation and Screening.","name":"copyright","label":"Copyright"}],"article-number":"100149"}}