Deep learning for pancreatic diseases based on endoscopic ultrasound: A systematic review

M Yin, L Liu, J Gao, J Lin, S Qu, W Xu, X Liu… - International Journal of …, 2023 - Elsevier
Background and aims Endoscopic ultrasonography (EUS) is one of the main examinations
in pancreatic diseases. A series of the studies reported the application of deep learning (DL) …

“KAIZEN” method realizing implementation of deep-learning models for COVID-19 CT diagnosis in real world hospitals

N Okada, Y Umemura, S Shi, S Inoue, S Honda… - Scientific Reports, 2024 - nature.com
Numerous COVID-19 diagnostic imaging Artificial Intelligence (AI) studies exist. However,
none of their models were of potential clinical use, primarily owing to methodological defects …

[HTML][HTML] A Cross-Sectional Multivariable Analysis of the Quality of Hemodialysis Patients' Life in Lahore City, Pakistan

G Islam, GH Shah, N Saeed, JA Jones, I Karibayeva - Healthcare, 2025 - mdpi.com
Background/Objectives: Chronic kidney disease (CKD) is a severe health problem with dire
consequences for the quality of life of millions of individuals and their families around the …

Valor pronóstico de la extensión del parénquima pulmonar afectado en la neumonía COVID-19: estimación visual versus cuantificación automática por inteligencia …

IS Aguadero, AE Casajús, AP Nuin, M Vidorreta… - Radiología, 2024 - Elsevier
Objetivo Comparar el impacto pronóstico de la extensión de la enfermedad pulmonar en
tomografía computarizada (TC) valorada de forma visual por un radiólogo experto y de …

[HTML][HTML] Integrated model for COVID-19 diagnosis based on computed tomography artificial intelligence, and clinical features: a multicenter cohort study

Y Kataoka, Y Kimura, T Ikenoue… - Annals of …, 2022 - ncbi.nlm.nih.gov
Background We developed and validated a machine learning diagnostic model for the novel
coronavirus (COVID-19) disease, integrating artificial-intelligence-based computed …

Development and external validation of a deep learning-based computed tomography classification system for COVID-19

Y Kataoka, T Baba, T Ikenoue, Y Matsuoka… - Annals of Clinical …, 2022 - jstage.jst.go.jp
Development and external validation of a deep learning-based computed tomography
classification system for COVID-19 Page 1 ORIGINAL ARTICLE Development and external …

[PDF][PDF] Applications Used in the Clinical and Public Health Response to COVID-19

S Mann, CT Berdahl, L Baker, F Girosi - 2022 - rand.org
This study was prepared for the Patient-Centered Outcomes Research Institute (PCORI)
Emerging Technology and Therapeutics Report series. This study, on the use of artificial …

[PDF][PDF] PERSEPSI IBU HAMIL TERHADAP SENAM HAMIL DI KOTA PALEMBANG

M Fadilah, MPC Randana - 2023 - scholar.archive.org
Aktivitas fisik yang teratur selama kehamilan memiliki berbagai manfaat untuk ibu dan janin
seperti mengurangi gejala depresi, risiko lebih rendah untuk kenaikan berat badan berlebih …

PERSEPSI IBU HAMIL TERHADAP SENAM HAMIL DI KOTA PALEMBANG

MPC Randana, M Fadilah - Siklus: Journal Research …, 2023 - ejournal.poltekharber.ac.id
Kematian ibu dalam satu tahun masa kehamilan yang disebabkan oleh komplikasi akibat
mengandung diartikan sebagai kematian terkait kehamilan. Hal ini dapat dipicu karena …

[HTML][HTML] Integrated Model for COVID-19 Diagnosis Based on Computed Tomography AI, and Clinical Features: A Multicenter Cohort Study

Y Kataoka, Y Kimura, T Ikenoue, Y Matsuoka… - 2021 - europepmc.org
Background: We developed and validated a machine learning diagnostic model for novel
coronavirus (COVID-19) disease, integrating artificial-intelligence-based computed …