Search Results - "computer‐aided detection"

Computer aided detection for breast lesion in ultrasound and mammography

Authors: Agarwal, Richa

Contributors: University/Department: Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors

Thesis Advisors: Martí Marly, Robert, Díaz Montesdeoca, Oliver, Lladó Bardera, Xavier

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Càncer de mama, Cáncer de mama, Breast cancer, Detecció assistida per ordinador, Detección asistida por ordenador, Computer aided detection, Imatges mèdiques, Imágenes médicas, Medical imaging, Cancer imaging, 3D, Xarxes neuronals convolucionals, Redes neuronales convolucionales, Convolutional neural netwoks, Ultrasons, Ultrasonidos, Ultrasounds, Mamografia, Mamografía, Mammography, ABUS, Deep learning, Aprenentatge profund, Aprendizaje profundo

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/670295

Performance of Computer‐Aided Detection Software in Tuberculosis Case Finding in Township Health Centers in China

Authors: Xuefang Cao Boxuan Feng Bin Zhang et al.

Source: Chronic Dis Transl Med
Chronic Diseases and Translational Medicine, Vol 11, Iss 2, Pp 140-147 (2025)

Subject Terms: Medicine (General), R5-920, tuberculosis, case finding, chest X‐ray, Original Article, computer‐aided detection, artificial intelligence

Access URL: https://doaj.org/article/ec4e3f60ca834e9a976e890ad11039ba

A public benchmark for human performance in the detection of focal cortical dysplasia

Authors: Lennart Walger Matthias H. Schmitz Tobias Bauer et al.

Source: Epilepsia Open
Epilepsia Open, Vol 10, Iss 3, Pp 778-786 (2025)
Epilepsia open 10(3), 778-786 (2025). doi:10.1002/epi4.70028

Subject Terms: Male, Adult, human performance, diagnostic imaging [Malformations of Cortical Development], computer‐aided detection, artificial intelligence, Magnetic Resonance Imaging, diagnosis [Malformations of Cortical Development], reader study, Focal Cortical Dysplasia, Benchmarking, Humans, Female, Original Article, ddc:610, Neurology. Diseases of the nervous system, RC346-429

Access URL: https://pubmed.ncbi.nlm.nih.gov/40167314
https://doaj.org/article/5e20f184f5d14b218036bb109ddaf5e4
https://pub.dzne.de/record/279188

AI-CAD enhances pulmonary TB detection and yield in active case finding

Authors: A. Frederick R. Kubendiran T. Neelagandan et al.

Source: IJTLD Open, Vol 2, Iss 10, Pp 577-582 (2025)

Subject Terms: tuberculosis, tamil nadu, india, artificial intelligence, computer-aided detection, chest x-ray, Diseases of the respiratory system, RC705-779

File Description: electronic resource

Relation: https://www.ingentaconnect.com/contentone/iuatld/ijtldo/2025/00000002/00000010/art00004; https://doaj.org/toc/3005-7590

Access URL: https://doaj.org/article/586c9799873d46369060f182b5447842

Case-level detection of mammographic masses

Authors: Tortajada Giménez, Meritxell

Contributors: University/Department: Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors

Thesis Advisors: Martí Marly, Robert, Freixenet i Bosch, Jordi

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Mamografia digital, Mamografía digital, Full-field digital mammography (FFDM), Massa mamària, Masa mamaria, Breast masses, Diagnòstics assistits per ordinador, Diagnósticos asistidos por ordenador, Computer aided detection (CAD), Millora perifèrica, Mejora periférica, Peripheral enhancement, Densitat mamària, Densidad mamaria, Breast density

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/620783

Challenges in Implementing Endoscopic Artificial Intelligence: The Impact of Real‐World Imaging Conditions on Barrett's Neoplasia Detection: The Impact of Real‐World Imaging Conditions on Barrett's Neoplasia Detection

Authors: M. R. Jong T. J. M. Jaspers C. H. J. Kusters et al.

Source: United European Gastroenterol J

Subject Terms: Barrett's esophagus, esophageal adenocarcinoma, computer aided detection, deep learning systems, endoscopy, artificial intelligence, Luminal

Access URL: https://pubmed.ncbi.nlm.nih.gov/40116287

Evaluation of Artificial Intelligence: Computer-aided Detection of Colorectal Polyps

Authors: Yuya Hiratsuka Takashi Hisabe Kensei Ohtsu et al.

Source: J Anus Rectum Colon
Journal of the Anus, Rectum and Colon, Vol 9, Iss 1, Pp 79-87 (2025)

Subject Terms: adenoma detection rate, RC799-869, Original Research Article, Diseases of the digestive system. Gastroenterology, artificial intelligence, adenoma miss rate, computer-aided detection

Access URL: https://doaj.org/article/df3c0afc9be24b81b9f4ef293204c483

Advancements in Clinical Evaluation and Regulatory Frameworks for AI-Driven Software as a Medical Device (SaMD)

Authors: Shiau-Ru Yang Jen-Tzung Chien Chen-Yi Lee

Source: IEEE Open J Eng Med Biol
IEEE Open Journal of Engineering in Medicine and Biology, Vol 6, Pp 147-151 (2025)

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, computer-aided triage (CADt), Computer applications to medicine. Medical informatics, R858-859.7, Medical technology, AI/ML, computer-aided detection (CADe), R855-855.5, Software as a medical device (SaMD), Article, computer-aided diagnosis (CADx)

Access URL: https://pubmed.ncbi.nlm.nih.gov/39698124
https://doaj.org/article/acbd70ac7a224ec6a08fc9ce0bbe555d

Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review

Authors: Keerthi A. S. Pillai Preena K. P. Madhu S. Nair

Source: IEEE Access, Vol 13, Pp 12468-12482 (2025)

Subject Terms: machine learning, computer aided detection, convolutional neural networks, magnetic resonance imaging, deep learning, Cerebral aneurysms, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Access URL: https://doaj.org/article/bb16f5504d61450fb1159e9d3fc6af50

Strengthening the TB response with artificial intelligence and the right to health

Authors: B. Citro S. Zaidi J. Malar et al.

Source: IJTLD Open, Vol 2, Iss 9, Pp 548-551 (2025)

Subject Terms: tuberculosis, ai, computer-aided detection, community-led monitoring, chatbots, gpt-4, Diseases of the respiratory system, RC705-779

File Description: electronic resource

Relation: https://www.ingentaconnect.com/contentone/iuatld/ijtldo/2025/00000002/00000009/art00009; https://doaj.org/toc/3005-7590

Access URL: https://doaj.org/article/8acaf4fbe9bb4dbdb6bd23e997c1f045

Performance of chest X-ray with computer-aided detection powered by deep learning-based artificial intelligence for tuberculosis presumptive identification during case finding in the Philippines

Authors: Nichel Marquez Erwin John Carpio Mary Rosary Santiago et al.

Source: BMC Global and Public Health, Vol 3, Iss 1, Pp 1-14 (2025)

Subject Terms: Tuberculosis, Computer-aided detection, Chest X-ray, Precision–recall curve, Receiver operating curve, Public aspects of medicine, RA1-1270

File Description: electronic resource

Relation: https://doaj.org/toc/2731-913X

Access URL: https://doaj.org/article/07947ed18fd64b1d8681cfaa12099187

Reproducibility and interpretability in radiomics: a critical assessment

Authors: Aydın Demircioğlu

Source: Diagnostic and Interventional Radiology, Vol 31, Iss 4, Pp 321-328 (2025)

Subject Terms: computer-aided detection, deep learning, interpretability, radiomics, reproducibility, statistics, Medical physics. Medical radiology. Nuclear medicine, R895-920

File Description: electronic resource

Relation: https://doaj.org/toc/1305-3825; https://doaj.org/toc/1305-3612

Access URL: https://doaj.org/article/fdf3ee2447954e8e89d89455986e456e

Artificial Intelligence in Diagnostic Imaging: Enhancing Accuracy and Efficiency

Authors: The Science Post

Subject Terms: Artificial Intelligence, Diagnostic Imaging, Deep Learning, Convolutional Neural Networks (CNN), Radiology, Computer-Aided Detection (CAD)

Diagnostic Accuracy of Artificial Intelligence-assisted Chest X-ray Interpretation Tools for Screening of Tuberculosis: A Systematic Review and Meta-analysis

Authors: Raju Sarkar Medha Wadhwa Dhaval Parmar et al.

Source: Journal of Clinical and Diagnostic Research, Vol 19, Iss 8, Pp LC01-LC07 (2025)

Subject Terms: tuberculosis screening, sensitivity and specificity, computer aided detection, Medicine, infectious diseases

Access URL: https://doaj.org/article/09e9481871924e5c8024cb412b30c25d

Editorial: Artificial intelligence in radiology and radiation oncology

Authors: Curtise K. C. Ng Vincent W. S. Leung

Source: Frontiers in Radiology, Vol 5 (2025)

Subject Terms: Medical physics. Medical radiology. Nuclear medicine, medical imaging, R895-920, deep learning, radiation oncology, artificial intelligence, image synthesis, computer-aided detection

Access URL: https://doaj.org/article/768ae44a9c484ceb993c0c7549c9ff5b

Detection of focal cortical dysplasia: Development and multicentric evaluation of artificial intelligence models

Authors: Lennart N. Kersting Lennart Walger Tobias Bauer et al.

Source: Epilepsia
Epilepsia 66(4), 1165-1176 (2025). doi:10.1111/epi.18240

Subject Terms: Male, Adult, 0301 basic medicine, Adolescent, Focal Cortical Dysplasia, Young Adult, 03 medical and health sciences, methods [Magnetic Resonance Imaging], Imaging, Three-Dimensional, 0302 clinical medicine, Artificial Intelligence, Humans, ddc:610, Child, Retrospective Studies, diagnostic imaging [Malformations of Cortical Development], computer‐aided detection, lesion detection, Magnetic Resonance Imaging, Malformations of Cortical Development, model comparison, epilepsy, Female, MRI, Research Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/39739580
https://pub.dzne.de/record/278020

Misdiagnosis in breast imaging: a statement paper from European Society Breast Imaging (EUSOBI)—Part 1: The role of common errors in radiology in missed breast cancer and implications of misdiagnosis

Authors: Thomassin-Naggara, Isabelle Kilburn-Toppin, Fleur Athanasiou, Alexandra et al.

Source: European Radiology, 35, 5, pp. 2387-2396

Subject Terms: Artificial intelligence, COMPUTER-AIDED DETECTION, SELF-REPORTED REACTIONS, Misdiagnosis, Breast Neoplasms, PHYSICIANS, Medical Imaging - Radboud University Medical Center, MRI, Mammography, Ultrasonography, Humans, Diagnostic Errors, 2ND VICTIM, Science & Technology, WOMEN YOUNGER, MALPRACTICE CLAIMS, DIAGNOSTIC ERRORS, Radiology, Nuclear Medicine & Medical Imaging, 3202 Clinical sciences, 1103 Clinical Sciences, PERFORMANCE, SCREENING MAMMOGRAPHY, Europe, Nuclear Medicine & Medical Imaging, EUSOBI Board, Female, Life Sciences & Biomedicine, MAMMOGRAPHY INTERPRETATION

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/39545978
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/320798
https://lirias.kuleuven.be/handle/20.500.12942/753930
https://doi.org/10.1007/s00330-024-11128-1
https://repository.ubn.ru.nl//bitstream/handle/2066/320798/320798.pdf
https://hdl.handle.net/2066/320798
https://hdl.handle.net/11573/1727621
https://doi.org/10.1007/s00330-024-11128-1

Impact of Using an AI-CAD Tool in Radiology Training

Authors: Beatriz Rodrigues Leite Sippo Rossi Tariq Osman Andersen

Source: Adjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction. :1-5

Subject Terms: Human-AI Collaboration, Artificial Intelligence, Resident Training, Computer-Aided Detection, Radiology

SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease

Authors: Yuhuan Lu Guanghua Tan Bin Pu et al.

Source: IEEE Journal of Biomedical and Health Informatics. 28:6105-6116

Subject Terms: Heart Defects, Congenital, Heart, Computer-aided detection and diagnosis, Ultrasonography, Prenatal, Semantics, Fetus, Fetal Heart, Deep Learning, Pregnancy, Machine learning, Ultrasound, Image Interpretation, Computer-Assisted, Humans, Female, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/38985556

The performance of computer-aided detection for chest radiography in tuberculosis screening: a population-based retrospective cohort study

Authors: Henan Xin Wei Wang Xiaomeng Wang et al.

Source: Emerging Microbes and Infections, Vol 14, Iss 1 (2025)

Subject Terms: Pulmonary tuberculosis, screening, computer-aided detection, chest radiography, early finding, Infectious and parasitic diseases, RC109-216, Microbiology, QR1-502

File Description: electronic resource

Relation: https://doaj.org/toc/2222-1751

Access URL: https://doaj.org/article/e23aa026e6ab415c96997cd92a197326