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ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2026

Consensus statement on the application of artificial intelligence in osteoporosis screening and management: perspectives from the Asia-Pacific region.

Chun-Feng Huang, Wen-Hui Fang, Kun-Hui Chen, Sung-Yen Lin, Cheng-Jung Ho, Jawl-Shan Hwang, Ta-Wei Tai, Yuan-Fu Liu, Chien-An Shih, Jung-Fu Chen and 50 more

Abstract readConsensus Statement
PubMed Full text at PMC Publisher
In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Muscle mass, not fat mass, predicts vertebral fracture risk: Vietnam osteoporosis study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  3. Rethinking body composition in vertebral fracture risk assessment.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  4. Metabolic equivalents may obscure the skeletal risks of occupational physical activity.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

60 authors.

Chun-Feng HuangDepartment of Family Medicine, Chi Mei Medical Center, Tainan, Taiwan.
Wen-Hui FangDepartment of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan.
Kun-Hui ChenDepartment of Orthopedics, Taichung Veterans General Hospital, Taichung, Taiwan.
Sung-Yen LinOrthopedic Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.
Cheng-Jung HoDepartment of Orthopedics, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Jawl-Shan HwangDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Ta-Wei TaiDepartment of Orthopedics, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Yuan-Fu LiuDepartment of Orthopedics, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Chien-An ShihDepartment of Orthopedics, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Jung-Fu ChenDivision of Metabolism and Endocrinology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Shih-Te TuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Changhua Christian Hospital, Changhua, Taiwan.
Ding-Cheng ChanDepartment of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan.
Rong-Sen YangDepartment of Orthopaedics, National Taiwan University Hospital, Taipei, Taiwan.
Shau-Huai FuDepartment of Orthopaedics, National Taiwan University Hospital, Taipei, Taiwan.
Hsuan-Yu ChenDepartment of Orthopaedics, National Taiwan University Hospital, Taipei, Taiwan.
Keh-Sung TsaiSuperintendent Office, Far Eastern Polyclinic of Far Eastern Medical Foundation, Taipei, Taiwan.
Tien-Tsai ChengDivision of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung, Taiwan.
Fang-Ping ChenKeelung Osteoporosis Prevention and Treatment Center, Chang Gung Memorial Hospital, Keelung, Taiwan.
Wei-Chieh HungDepartment of Family Medicine and Community Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Yin-Fan ChangDepartment of Family Medicine, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Der-Sheng HanDepartment of Physical Medicine and Rehabilitation, National Taiwan University Hospital, BeiHu Branch, Taipei, Taiwan.
Manju ChandranOsteoporosis and Bone Metabolism Unit, Singapore General Hospital, Singapore, Singapore.
Ang Seng BinDUKE NUS Medical School, Singapore, Singapore.
Joon Kiong LeeDepartment of Orthopedics, Beacon Hospital, Petaling Jaya, Malaysia.
Swan Sim YeapDepartment of Medicine, Division of Rheumatology, Subang Jaya Medical Centre, Subang Jaya, Selangor, Malaysia.
Yoon-Sok ChungDepartment of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Republic of Korea.
Kwang-Kyoun KimDepartment of Orthopedic Surgery, Konyang University College of Medicine, Daejeon, Republic of Korea.
Peter R EbelingDepartment of Medicine, School of Clinical Sciences, Monash University, Clayton, VIC, Australia.
Unnop JaisamrarnDepartment of Obstetrics and Gynecology, Chulalongkorn University, Bangkok, Thailand.
Dipendra PandeyDepartment of Orthopedics and Trauma Surgery, National Trauma Centre, National Academy of Medical Sciences, Kathmandu, Nepal.
Serge FerrariService of Bone Diseases, Department of Medicine, Geneva University Hospital and Faculty of Medicine, Geneva, Switzerland.
Tsung-Han YangDepartment of Orthopaedics, National Taiwan University Hospital, Taipei, Taiwan.
Natthinee CharatcharoenwitthayaDivision of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand.
Akira TaguchiDepartment of Oral and Maxillofacial Radiology, Matsumoto Dental University, Shiojiri City, Japan.
Sarath LekamwasamDepartment of Medicine, University of Ruhuna, Matara, Sri Lanka.
Tuan Van NguyenCentre for Health Technologies, University of Technology Sydney, Ultimo, Australia.
E Michael LewieckiNew Mexico Clinical Research & Osteoporosis Center, Albuquerque, NM, USA.
Kenneth G SaagUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Ching-Chou TsaiDepartment of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Fernando MarínDepartment of Endocrinology, Quironsalud University Hospital, Madrid, Spain.
Satoshi MoriBone and Joint Surgery, Seirei Hamamatsu General Hospital, Hamamatsu, Japan.
Kyu Ri HwangDepartment of Obstetrics & Gynecology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
Julie Li-YuDepartment of Medicine, University of Santo Tomas Hospital, España, Manila, Philippines.
John J CareyDepartment of Medicine, University of Galway, Galway, Ireland.
David KendlerDepartment of Medicine, University of British Columbia, Vancouver, BC, Canada.
Ching Lung CheungDepartment of Pharmacology and Pharmacy, The University of Hong Kong, Pok Fu Lam, Hong Kong.
Huei-Kai HuangDepartment of Family Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
Vilai KuptniratsaikulDepartment of Rehabilitation Medicine, Mahidol University, Nakhon Pathom, Thailand.
Wing P ChanDepartment of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Siew Pheng ChanDepartment of Medicine, Division of Endocrinology, University of Malaya, Kuala Lumpur, Malaysia.
Lan T Ho-PhamBioMedicine Research Center, Pham Ngoc Thach University of Medicine, Ho Chi Minh, Vietnam.
Fen Lee HewDepartment of Medicine, Division of Endocrinology, Subang Jaya Medical Centre, Subang Jaya, Selangor, Malaysia.
Huipeng ShiNational Center for Orthopedics, Department of Orthopedics, Shanghai 6, People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yumie RheeDepartment of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.
Eugene McCloskeyDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK.
Sakae TanakaDepartment of Orthopaedics, The University of Tokyo Hospital, Tokyo, Japan.
Didier HansBone and Joint Department, Lausanne University Hospital, Lausanne, Switzerland.
John A KanisCentre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK.
Chung-Hwan Chen *Orthopedic Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.
Chih-Hsing Wu *Department of Family Medicine, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan. paulo@mail.ncku.edu.tw.ORCID http://orcid.org/0000-0002-0504-2053

Funding

National Science and Technology Council NSTC112-2314-B-006-023-MY3
6 · The paper itself

Abstract

Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due to limited access to dual-energy X-ray absorptiometry (DXA) in many areas. Artificial intelligence (AI) offers new opportunities to improve osteoporosis screening and management, but unvalidated tools pose risks of inconsistent care. This consensus was developed to provide regionally harmonized guidance on the safe, effective, and equitable use of AI in osteoporosis care. PURPOSE: The aim of this work was to establish expert consensus recommendations on the role of AI in osteoporosis screening and management in the Asia-Pacific region. Key objectives were to define appropriate applications of AI (e.g., imaging-based bone assessment and fracture risk prediction) and specify minimum standards for validation and reporting, addressing region-specific implementation challenges and ensuring that AI use aligns with clinical guidelines and ethical principles.

methodsThis consensus was developed through multidisciplinary collaboration among experts across the Asia-Pacific region. Each participant reviewed draft statements, contributed feedback during virtual meetings, and provided insights based on clinical experience and current evidence. Consensus was reached iteratively until full agreement was achieved for all statements. The process integrated global best practices and regional adaptations, drawing from peer-reviewed studies, international AI guidelines, and local fracture registry data. The final recommendations emphasize the validation, transparency, and ethical implementation of AI within regional healthcare systems, ensuring compatibility with local regulations. Ultimately, twelve consensus statements were established to guide the responsible use of AI for osteoporosis screening and management in the Asia-Pacific region.

resultsThe panel produced 12 consensus statements covering the role of AI as an adjunct for opportunistic osteoporosis screening rather than a diagnostic tool, requirements for imaging quality and AI model transparency, standards for validation and performance reporting, integration of AI with clinical risk stratification, demonstration of clinical utility in real-world settings, adherence to data protection laws and ethical AI principles, training of clinicians in AI use, strategies for implementation and monitoring (including post-market surveillance and feedback loops), and recognition of technical, clinical, and equity limitations of AI. All 12 statements give extensive recommendations for using AI to improve osteoporosis management while ensuring patient safety, accuracy, and equity.

conclusionThis first Asia-Pacific consensus on AI in osteoporosis concludes that AI, when appropriately validated and implemented, can help bridge the osteoporosis care gap by identifying high-risk patients who would otherwise remain undiagnosed, thus facilitating earlier intervention. It emphasizes that AI should complement-not replace-standard diagnostic methods and clinical judgment. The guidance emphasizes validation, transparency, and ethical oversight to facilitate early intervention while minimizing risks associated with unvalidated or premature AI adoption.

Indexed as

Artificial IntelligenceOsteoporosisAbsorptiometry, PhotonAsiaHumansMass ScreeningOsteoporotic FracturesRisk AssessmentArtificial intelligenceAsia-PacificConsensus statementFracture risk predictionOpportunistic screeningOsteoporosis screening

Identifiers

PMID42142131
PMCPMC13553678

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.