Application of artificial intelligence in chest radiograph interpretation: Is the time ripe yet?

Application of artificial intelligence in chest radiograph interpretation: Is the time ripe yet?

Saved in:

Bibliographic Details
Main Authors:	Satyavratan Govindarajan, Ramakrishnan Swaminathan
Format:	Article
Language:	English
Published:	Wolters Kluwer Medknow Publications 2024-11-01
Series:	Journal of Clinical and Scientific Research
Online Access:	https://journals.lww.com/10.4103/jcsr.jcsr_53_24
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Artificial intelligence to evaluate diagnosed COVID-19 chest radiographs
by: Bruno Takara, et al.
Published: (2022-09-01)

Diagnostic Performance of Artificial Intelligence in Chest Radiographs Referred from the Emergency Department
by: Julia López Alcolea, et al.
Published: (2024-11-01)

Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs
by: Thiago Fellipe Ortiz de Camargo, et al.
Published: (2025-02-01)

Optimizing adult-oriented artificial intelligence for pediatric chest radiographs by adjusting operating points
by: Hyun Joo Shin, et al.
Published: (2024-12-01)

Chest radiograph-based artificial intelligence predictive model for mortality in community-acquired pneumonia
by: Rayan Alsuwaigh, et al.
Published: (2021-01-01)

Clinical aspects of using artificial intelligence for the interpretation of chest X-rays
by: S. P. Morozov, et al.
Published: (2021-05-01)

An evaluation of a checklist in musculoskeletal radiographic image interpretation when using artificial intelligence
by: Laura McLaughlin, et al.
Published: (2025-06-01)

Response to “Artificial Intelligence—The Revolution Hasn’t Happened Yet”
by: Gregory Crane
Published: (2019-07-01)

GENERATION OF ARTIFICIAL CHEST RADIOGRAPHS USING GENERATIVE ADVERSARIAL NEURAL NETWORKS
by: V. A. Kovalev, et al.
Published: (2018-06-01)

Artificial intelligence in the interpretation of upper extremity trauma radiographs: a systematic review and meta-analysis
by: Matthew Mellon, BSc, et al.
Published: (2025-08-01)

Artificial intelligence and radiographer preliminary image evaluation: What might the future hold for radiographers providing x‐ray interpretation in the acute setting?
by: Clare Rainey
Published: (2024-12-01)

Exploring Radiographers' Readiness for Artificial Intelligence in Kuwait: Insights and Applications
by: Asseel Khalaf, et al.
Published: (2025-04-01)

Comparison of Artificial Intelligence-based learning with the traditional method in the diagnosis of COVID-19 chest radiographs among postgraduate radiology residents
by: Ayesha Isani Majeed
Published: (2024-06-01)

Using Artificial Intelligence for Detecting Diabetic Foot Osteomyelitis: Validation of Deep Learning Model for Plain Radiograph Interpretation
by: Francisco Javier Álvaro-Afonso, et al.
Published: (2025-08-01)

Ripe-Detection: A Lightweight Method for Strawberry Ripeness Detection
by: Helong Yu, et al.
Published: (2025-07-01)

Artificial intelligence (ChatGPT) ready to evaluate ECG in real life? Not yet!
by: Volkan Çamkıran, et al.
Published: (2025-03-01)

Thoracic Scoliosis Screening in Adolescent Patients with Chest Radiographs
by: Murat Şakir Ekşi, et al.
Published: (2019-03-01)

Epigastric pain with incidental finding on a chest radiograph
by: Sarah Bin Hariz, et al.
Published: (2021-10-01)

Detection and position evaluation of chest percutaneous drainage catheter on chest radiographs using deep learning.
by: Duk Ju Kim, et al.
Published: (2024-01-01)

Artificial intelligence for chest X-ray image enhancement
by: Liming Song, et al.
Published: (2025-02-01)

Artificial intelligence-based detection of dens invaginatus in panoramic radiographs
by: Ayse Hanne Sarı, et al.
Published: (2025-06-01)

Progress of research on artificial intelligence technology in radiographic diagnosis of periodontitis
by: HE Mengke, LU Jiawei, DUAN Hui, LUO Lijun
Published: (2025-06-01)

Review: On Segmentation of Nodules from Posterior and Anterior Chest Radiographs
by: S. K. Chaya Devi, et al.
Published: (2018-01-01)

Digital Edge Detection Based Pneumonia Detection in Chest Radiographs
by: Poola Rahul Gowtham, et al.
Published: (2024-01-01)

Chest Radiographs for Pediatric TB Diagnosis: Interrater Agreement and Utility
by: G. Kaguthi, et al.
Published: (2014-01-01)

New Approaches to AI Methods for Screening Cardiomegaly on Chest Radiographs
by: Patrycja S. Matusik, et al.
Published: (2024-12-01)

Correction: Detection and position evaluation of chest percutaneous drainage catheter on chest radiographs using deep learning.
by: Duk Ju Kim, et al.
Published: (2025-01-01)

Diagnostic Accuracy of Artificial Intelligence-assisted Chest X-ray Interpretation Tools for Screening of Tuberculosis: A Systematic Review and Meta-analysis
by: Raju Sarkar, et al.
Published: (2025-08-01)

Diagnostic utility of fiberoptic bronchoscopy in hemoptysis patients with unremarkable chest radiographs
by: Mohammad Talha, et al.
Published: (2025-08-01)

Edge-Guided DETR Model for Intelligent Sensing of Tomato Ripeness Under Complex Environments
by: Jiamin Yao, et al.
Published: (2025-06-01)

APPLICATION FUZZY MAMDANI TO DETERMINE THE RIPENESS LEVEL OF CRYSTAL GUAVA FRUIT
by: Ahmad Kamsyakawuni, et al.
Published: (2022-09-01)

Artificial Intelligence and Chest CT: A Smarter Path to Sarcopenia Detection
by: Jiwoo Park, et al.
Published: (2025-07-01)

The Effect of Simulated Dose Reduction on the Performance of Artificial Intelligence in Chest Radiography
by: Hendrik Erenstein, et al.
Published: (2025-03-01)

Segmentation of airways and soft tissues on panoramic radiographs using artificial intelligence technology
by: Aslıhan Şahan Keskin, et al.
Published: (2025-06-01)

Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures
by: Omar Musbahi, MSc, ChM, et al.
Published: (2025-06-01)

Artificial intelligence-assisted identification of condensing osteitis and idiopathic osteosclerosis on panoramic radiographs
by: Ibrahim Burak Yuksel, et al.
Published: (2025-08-01)

Assessing chest radiographic quality and the influence of COVID‐19 pathology: the Australian experience
by: Peter O'Reilly, et al.
Published: (2025-06-01)

High-risk chest radiographic features associated with COVID-19 disease severity.
by: Sean Wei Xiang Ong, et al.
Published: (2021-01-01)

Chest radiographs in acute respiratory distress syndrome: an Achilles' heel of the Berlin criteria?
by: Miguel Bardají-Carrillo, et al.
Published: (2025-04-01)

Classification of pulmonary diseases from chest radiographs using deep transfer learning.
by: Muneeba Shamas, et al.
Published: (2025-01-01)