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Artificial intelligence's contribution to early pulmonary lesion detection in chest X-rays: insights from two retrospective studies on a Czech population.

• Authors : Černý M; Kvak D; Schwarz D

Subjects: Artificial Intelligence* ; Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/diagnostic imaging ; Radiography, Thoracic*

• Source: Casopis lekaru ceskych [Cas Lek Cesk] 2024; Vol. 162 (7-8), pp. 283-289.Publisher: Ceskoslovenska Lekarska Spolecnost Country of Publication: Czech Republic NLM ID: 0004743 Publication Model: Print Cited Medium: Print

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Tuberculosis detection in chest radiograph using convolutional neural network architecture and explainable artificial intelligence.

• Authors : Nafisah, Saad I. (AUTHOR); Muhammad, Ghulam (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; CHEST X rays; ARTIFICIAL intelligence

• Source: Neural Computing & Applications. Jan2024, Vol. 36 Issue 1, p111-131. 21p.

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Can Artificial Intelligence Substitute Right-Heart Catheterization With Chest X-Rays?

• Authors : Higaki A

Subjects: Artificial Intelligence* ; Radiography, Thoracic*; Cardiac Catheterization

• Source: The Canadian journal of cardiology [Can J Cardiol] 2021 Aug; Vol. 37 (8), pp. 1298. Date of Electronic Publication: 2021 Mar 09.Publisher: Elsevier Country of Publication: England NLM ID: 8510280 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1916-7075

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Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study.

• Authors : Jiao Z; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Choi JW

Subjects: Artificial Intelligence* ; Prognosis* ; Radiography, Thoracic*

• Source: The Lancet. Digital health [Lancet Digit Health] 2021 May; Vol. 3 (5), pp. e286-e294. Date of Electronic Publication: 2021 Mar 24.Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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A classical–quantum convolutional neural network for detecting pneumonia from chest radiographs.

• Authors : Kulkarni, Viraj (AUTHOR); Pawale, Sanjesh (AUTHOR); Kharat, Amit (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; CHEST X rays; QUANTUM computing

• Source: Neural Computing & Applications. Jul2023, Vol. 35 Issue 21, p15503-15510. 8p.

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An explainable transfer learning framework for multi-classification of lung diseases in chest X-rays.

• Authors : Patel, Aryan Nikul; Murugan, Ramalingam; Srivastava, Gautam

Subjects: LUNG diseases; X-rays; COMPUTER-aided diagnosis

• Source: Alexandria Engineering Journal; Jul2024, Vol. 98, p328-343, 16p

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Potencial de YOLO para detectar nódulos pulmonares en rayos x de tórax.

• Authors : Cruz Corzo, Hanlert¹ ; Pérez Díaz, Marlen² ; López Cabrera, José Daniel³

Subjects: CHEST X rays; PULMONARY nodules; ARTIFICIAL intelligence

• Source: Ingeniería Electrónica. Automatica y Comunicaciones. 2023, Vol. 44 Issue 1, p1-16. 16p.

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New Artificial Intelligence Research from Medical University of Silesia Outlined (Measurement of Cardiothoracic Ratio on Chest X-rays Using Artificial Intelligence-A Systematic Review and Meta-Analysis)

• Source: Obesity, Fitness & Wellness Week. September 14, 2024, 2682

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Mejora del diagnóstico médico de radiografías de tórax usando aprendizaje profundo con aumento gradual de iteraciones.

• Authors : Hernández-Trinidad, Arón; Pérez Careta, Eduardo; Hernández Rayas, Angelica

Subjects: ARTIFICIAL intelligence; AUTOMATIC classification; IMAGE processing

• Source: DYNA - Ingeniería e Industria; Sep2022, Vol. 97 Issue 5, p522-527, 6p

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Lung Ultrasound: COVID-19's Silver Lining.

• Authors : Pichamuthu, Kishore¹

Subjects: *COVID-19; *CHEST X rays; *LUNGS

• Source: Indian Journal of Critical Care Medicine. Jan2021, Vol. 25 Issue 1, p8-9. 2p.

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