Introduction to the special issue on artificial intelligence in musculoskeletal radiology

Introduction to the special issue on artificial intelligence in musculoskeletal radiology

Bibliographic Details
Main Authors:	Chang, C.Y (Author), Link, T.M (Author)
Format:	Article
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2022
Subjects:	artificial intelligence Artificial Intelligence diagnostic imaging human Humans musculoskeletal system Musculoskeletal System radiography Radiography radiology Radiology
Online Access:	View Fulltext in Publisher

Similar Items

Artificial Intelligence: Radiology practiced by Radiologists: Chronicle of an announced death?
by: Ángeles Franco-López
Published: (2018-10-01)

Ethical issues on artificial intelligence in radiology: how is it reported in research articles? The current state and future directions
by: Tomasz Piotrowski, et al.
Published: (2021-06-01)

Interventional radiology and artificial intelligence in radiology: Is it time to enhance the vision of our medical students?
by: Pierre Auloge, et al.
Published: (2020-11-01)

Artificial Intelligence in Radiology: Hype or Hope?
by: Erik Ranschaert
Published: (2018-11-01)

Artificial Intelligence for the Future Radiology Diagnostic Service
by: Seong K. Mun, et al.
Published: (2021-01-01)

Clinical applications of AI in MSK imaging: a liability perspective
by: Gowda, V., et al.
Published: (2022)

Artificial Intelligence in Radiology—Ethical Considerations
by: Adrian P. Brady, et al.
Published: (2020-04-01)

An evaluation of information online on artificial intelligence in medical imaging
by: Crowley, C., et al.
Published: (2022)

Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States
by: Filippo Pesapane, et al.
Published: (2018-08-01)

Artificial intelligence in musculoskeletal ultrasound imaging
by: YiRang Shin, et al.
Published: (2021-01-01)

Artificial intelligence and radiology: Combating the COVID-19 conundrum
by: Mayur Pankhania
Published: (2021-01-01)

Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey
by: Cherry Sit, et al.
Published: (2020-02-01)

Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol
by: Brendan Kelly, et al.
Published: (2020-12-01)

Current status of MSK radiology training: an international survey by the European Society of Musculoskeletal Radiology (ESSR) Young Club
by: Domenico Albano, et al.
Published: (2021-09-01)

An Important and Often Ignored Turnaround Time in Radiology – Clinician Turnaround Time: Implications for Musculoskeletal Radiology
by: Michael Mayer, et al.
Published: (2019-08-01)

Artificial intelligence in diagnostic imaging: impact on the radiography profession
by: Hardy, Maryann L., et al.
Published: (2020)

Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement
by: J. Raymond Geis, et al.
Published: (2019-10-01)

Automated acceptance criteria for the American College of Radiology (ACR) mammographic accreditation phantom images
by: Peng, Jinghong P.
Published: (2007)

Impact of artificial intelligence on radiology: a EuroAIM survey among members of the European Society of Radiology
by: European Society of Radiology (ESR)
Published: (2019-10-01)

Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo
by: Gabriela Irene Garcia Brandes, et al.

Artificial Intelligence in Radiology: An Exciting Future, but Ethically Complex
by: Adrian P. Brady
Published: (2021-04-01)

A Study of Dentists’ Knowledge about Dental Radiology Principles
by: S Haghanifar, et al.
Published: (2015-09-01)

Artificial Intelligence and the Challenge for Rural Medicine
by: James Denvir
Published: (2019-10-01)

Big data, artificial intelligence, and structured reporting
by: Daniel Pinto dos Santos, et al.
Published: (2018-12-01)

Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence
by: Thomas C. Kwee, et al.
Published: (2021-06-01)

Automated Radiology Alert System for Pneumothorax Detection on Chest Radiographs Improves Efficiency and Diagnostic Performance
by: Cheng-Yi Kao, et al.
Published: (2021-06-01)

Artificial intelligence abstracts from the European Congress of Radiology: analysis of topics and compliance with the STARD for abstracts checklist
by: Thomas Dratsch, et al.
Published: (2020-04-01)

Helpful Signs in the Imaging Diagnosis of Hereditary Musculoskeletal Disease
by: Charlotte Vanhoenacker, et al.
Published: (2017-12-01)

The Relationship of Stress Levels to Wellness Practices Among U.S. Radiologic Technology Program Directors
by: Pennington, Jesse D.
Published: (2013)

Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence
by: Comeau, D., et al.
Published: (2022)

An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs
by: Elif Bilgir, et al.
Published: (2021-08-01)

Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science
by: Jong Hyo Kim
Published: (2019-03-01)

Association of Musculoskeletal and Radiological Features with Clinical and Serological Findings in Systemic Sclerosis: A Single-Centre Registry Study
by: Nasrin Azarbani, et al.
Published: (2020-01-01)

Artificial intelligence in healthcare in developing nations: The beginning of a transformative journey
by: Abhishek Mahajan, et al.
Published: (2019-01-01)

Patients’ perception of care during special radiological examinations
by: Anthony C. Ugwu, et al.
Published: (2009-08-01)

Automated analysis of mammography phantom images
by: Brooks, Kenneth W.
Published: (2007)

Capability of contrast enhanced magnetic resonance tomography in accurate grading of chondrosarcoma
by: A. V. Fedorova, et al.
Published: (2018-09-01)

ARTIFICIAL INTELLIGENCE: NATURAL LANGUAGE PROCESSING FOR PEER-REVIEW IN RADIOLOGY
by: S. P. Morozov, et al.
Published: (2018-12-01)

Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System
by: Esposito A, et al.
Published: (2021-03-01)

Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening
by: Xue-Fang Cao, et al.
Published: (2021-03-01)