Výsledky vyhledávání - "Ultrasound, artificial intelligence"

International multicenter validation of AI-driven ultrasound detection of ovarian cancer

Autoři: Filip Christiansen Emir Konuk Adithya Raju Ganeshan a další

Zdroj: Nat Med

Témata: Ovarian Neoplasms, Adult, Middle Aged, Ultrasound, artificial intelligence, Sensitivity and Specificity, Article, Deep Learning, Aged Artificial Intelligence Deep Learning Female Humans Middle Aged Neural Networks, Computer* Ovarian Neoplasms* / diagnostic imaging Retrospective Studies Sensitivity and Specificity Ultrasonography* / methods, Artificial Intelligence, Humans, Female, Neural Networks, Computer, Ultrasonography, Retrospective Studies, Aged

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39747679
https://pergamos.lib.uoa.gr/uoa/dl/object/3489361

Thyroid Nodule Characterization: Overview and State of the Art of Diagnosis with Recent Developments, from Imaging to Molecular Diagnosis and Artificial Intelligence

Autoři: Castiglione, D.

Témata: ultrasound, thyroid nodules, ultrasound, artificial intelligence, thyroid nodules, thyroid imaging reporting and data system, thyroid cancer, fine-needle aspiration biopsy, thyroid cancer, fine-needle aspiration biopsy, thyroid imaging reporting and data system, artificial intelligence, Settore MED/36 - Diagnostica Per Immagini E Radioterapia

Přístupová URL adresa: https://hdl.handle.net/10447/649398

Advanced Application of Artificial Intelligence for Pelvic Floor Ultrasound in Diagnosis and Treatment

Autoři: Enze Qu, MD, Xinling Zhang, MD

Zdroj: Advanced Ultrasound in Diagnosis and Therapy, Vol 7, Iss 2, Pp 114-121 (2023)

Témata: pelvic floor ultrasound|artificial intelligence|female pelvic floor dysfunction, Medical technology, R855-855.5, Medicine

Relation: http://www.journaladvancedultrasound.com:81/fileup/2576-2516/PDF/1682659396393-62711428.pdf; https://doaj.org/toc/2576-2516; https://doaj.org/article/334f90fb953f4a4dab244e7b0cdbfe9d

Dostupnost: https://doi.org/10.37015/AUDT.2023.230021
https://doaj.org/article/334f90fb953f4a4dab244e7b0cdbfe9d

Point-of-Care Ultrasound: New Concepts and Future Trends

Autoři: Yaoting Wang MD Huihui Chai a další

Zdroj: Advanced Ultrasound in Diagnosis and Therapy, Vol 5, Iss 3, Pp 268-276 (2021)

Témata: ultrasound|point-of-care ultrasound|specialty ultrasound|artificial intelligence|5g network|application, Medical technology, R855-855.5, Medicine

Relation: http://www.journaladvancedultrasound.com:81/fileup/2576-2516/PDF/1630472737039-1665407001.pdf; https://doaj.org/toc/2576-2516; https://doaj.org/article/96b45bc3e5e64afd83806453f16f4f53

Dostupnost: https://doi.org/10.37015/AUDT.2021.210023
https://doaj.org/article/96b45bc3e5e64afd83806453f16f4f53

Artificial Intelligence in Prenatal Ultrasound: Clinical Application and Prospect

Autoři: Yang, MM Xia Yuan, MM Ying Wen, BM Huaxuan a další

Zdroj: Advanced Ultrasound in Diagnosis and Therapy, Vol 7, Iss 2, Pp 82-90 (2023)

Témata: Medical technology, Medicine, ultrasound|artificial intelligence|prenatal diagnosis, R855-855.5, 3. Good health

Přístupová URL adresa: https://doaj.org/article/03d1d6e6be804044b64316fe7d690f32

International multicenter validation of AI-driven ultrasound detection of ovarian cancer

Autoři: Christiansen, F Konuk, E Ganeshan, A a další

Témata: Ultrasound, artificial intelligence, MED/40 - GINECOLOGIA E OSTETRICIA, Settore MEDS-21/A - Ginecologia e ostetricia, info:eu-repo/semantics/article

URL: https://hdl.handle.net/10281/533622
info:eu-repo/semantics/altIdentifier/pmid/39747679
info:eu-repo/semantics/altIdentifier/wos/WOS:001388159800001
journal:NATURE MEDICINE

Guidance for reporting artificial intelligence technology evaluations for ultrasound scanning in regional anaesthesia (GRAITE-USRA): an international multidisciplinary consensus reporting framework.

Autoři: Zhang X Ferry J Hewson DW a další

Korporace: Zhang X Ferry J Hewson DW a další

Zdroj: Anaesthesia [Anaesthesia] 2025 Dec; Vol. 80 (12), pp. 1528-1539. Date of Electronic Publication: 2025 Sep 18.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 0370524 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2044 (Electronic) Linking ISSN: 00032409 NLM ISO Abbreviation: Anaesthesia Subsets: MEDLINE

Výrazy ze slovníku MeSH: Artificial Intelligence* , Anesthesia, Conduction*/methods , Anesthesia, Conduction*/standards , Ultrasonography, Interventional*/methods , Ultrasonography, Interventional*/standards, Humans ; Delphi Technique ; Consensus

Predicting Perinatal Morbidity in Fetal Growth Restriction: Evidence, Challenges, and Opportunities.

Autoři: Post SE Blue NR

Zdroj: Clinical obstetrics and gynecology [Clin Obstet Gynecol] 2025 Dec 01; Vol. 68 (4), pp. 571-578. Date of Electronic Publication: 2025 Oct 07.

Způsob vydávání: Journal Article; Review

Informace o časopise: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0070014 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-5520 (Electronic) Linking ISSN: 00099201 NLM ISO Abbreviation: Clin Obstet Gynecol Subsets: MEDLINE

Výrazy ze slovníku MeSH: Fetal Growth Retardation*/diagnosis , Fetal Growth Retardation*/diagnostic imaging, Humans ; Female ; Pregnancy ; Ultrasonography, Prenatal ; Risk Assessment ; Artificial Intelligence ; Biomarkers/blood ; Ultrasonography, Doppler ; Infant, Newborn

Radiology of COVID-19 - Imaging the pulmonary damage.

Autoři: Sohail S; Radiology Department, Dow University of Health Sciences, Civil Hospital Karachi.

Zdroj: JPMA. The Journal of the Pakistan Medical Association [J Pak Med Assoc] 2020 May; Vol. 70(Suppl 3) (5), pp. S60-S63.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Pakistan Medical Association Country of Publication: Pakistan NLM ID: 7501162 Publication Model: Print Cited Medium: Internet ISSN: 0030-9982 (Print) Linking ISSN: 00309982 NLM ISO Abbreviation: J Pak Med Assoc Subsets: MEDLINE

Výrazy ze slovníku MeSH: Betacoronavirus* , Pandemics* , Radiography, Thoracic*, Coronavirus Infections/*diagnostic imaging , Lung/*diagnostic imaging , Pneumonia, Viral/*diagnostic imaging, COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/pathology ; Humans ; Lung/pathology ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/pathology ; Radiographic Image Interpretation, Computer-Assisted ; SARS-CoV-2 ; Tomography, X-Ray Computed ; Ultrasonography