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Tytuł:
Who Determines What Is Relevant? Humans or AI? Why Not Both?
Autorzy:
Faggioli, Guglielmo (AUTHOR)
Dietz, Laura (AUTHOR)
Clarke, Charles L. A. (AUTHOR)
Demartini, Gianluca (AUTHOR)
Hagen, Matthias (AUTHOR)
Hauff, Claudia (AUTHOR)
Kando, Noriko (AUTHOR)
Kanoulas, Evangelos (AUTHOR)
Potthast, Martin (AUTHOR)
Stein, Benno (AUTHOR)
Wachsmuth, Henning (AUTHOR)
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Źródło:
Communications of the ACM. Apr2024, Vol. 67 Issue 4, p31-34. 4p.
Periodyk
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Applying the UTAUT2 framework to patients' attitudes toward healthcare task shifting with artificial intelligence.
Autorzy:
Huang W; National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore. .; Duke-NUS Medical School, Singapore, Singapore. .
Ong WC; National Healthcare Group Polyclinics, Singapore, Singapore.
Wong MKF; School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.
Ng EYK; School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.
Koh T; National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.; Duke-NUS Medical School, Singapore, Singapore.
Chandramouli C; National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.; Duke-NUS Medical School, Singapore, Singapore.
Ng CT; National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.; Duke-NUS Medical School, Singapore, Singapore.
Hummel Y; Us2.ai, Singapore, Singapore.
Huang F; Us2.ai, Singapore, Singapore.
Lam CSP; National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.; Duke-NUS Medical School, Singapore, Singapore.; Us2.ai, Singapore, Singapore.
Tromp J; Duke-NUS Medical School, Singapore, Singapore.; Saw Swee Hock School of Public Health, National University of Singapore, National University Health System Singapore, Singapore, Singapore.
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Źródło:
BMC health services research [BMC Health Serv Res] 2024 Apr 11; Vol. 24 (1), pp. 455. Date of Electronic Publication: 2024 Apr 11.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Task Shifting*
Humans ; Cross-Sectional Studies ; Attitude ; Patient Participation
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Generative AI in healthcare: an implementation science informed translational path on application, integration and governance.
Autorzy:
Reddy S; Deakin School of Medicine, Waurn Ponds, Geelong, VIC, 3215, Australia. .
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Źródło:
Implementation science : IS [Implement Sci] 2024 Mar 15; Vol. 19 (1), pp. 27. Date of Electronic Publication: 2024 Mar 15.
Typ publikacji:
Review; Journal Article
MeSH Terms:
Implementation Science*
Artificial Intelligence*
Humans ; Ecosystem ; Clinical Decision-Making ; Delivery of Health Care
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A novel machine-learning framework based on early embryo morphokinetics identifies a feature signature associated with blastocyst development.
Autorzy:
Canosa S; Gynecology and Obstetrics 1U, Physiopathology of Reproduction and IVF Unit, Department of Surgical Sciences, S. Anna Hospital, University of Turin, Turin, Italy. .; IVIRMA Global Research Alliance, Livet, Turin, Italy. .
Licheri N; Department of Computer Science, University di Turin, Turin, Italy.
Bergandi L; Department of Oncology, University of Turin, Turin, Italy.
Gennarelli G; Gynecology and Obstetrics 1U, Physiopathology of Reproduction and IVF Unit, Department of Surgical Sciences, S. Anna Hospital, University of Turin, Turin, Italy.; IVIRMA Global Research Alliance, Livet, Turin, Italy.
Paschero C; Gynecology and Obstetrics 1U, Physiopathology of Reproduction and IVF Unit, Department of Surgical Sciences, S. Anna Hospital, University of Turin, Turin, Italy.
Beccuti M; Department of Computer Science, University di Turin, Turin, Italy.
Cimadomo D; IVIRMA Global Research Alliance, Genera, Clinica Valle Giulia, Rome, Italy.
Coticchio G; IVIRMA Global Research Alliance, 9.Baby, Bologna, Italy.
Rienzi L; IVIRMA Global Research Alliance, Genera, Clinica Valle Giulia, Rome, Italy.; Department of Biomolecular Sciences, University of Urbino 'Carlo Bo', Urbino, Italy.
Benedetto C; Gynecology and Obstetrics 1U, Physiopathology of Reproduction and IVF Unit, Department of Surgical Sciences, S. Anna Hospital, University of Turin, Turin, Italy.
Cordero F; Department of Computer Science, University di Turin, Turin, Italy.
Revelli A; Gynecology and Obstetrics 1U, Physiopathology of Reproduction and IVF Unit, Department of Surgical Sciences, S. Anna Hospital, University of Turin, Turin, Italy.; Gynecology and Obstetrics 2U, Department of Surgical Sciences, S. Anna Hospital, University of Turin, Turin, Italy.
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Źródło:
Journal of ovarian research [J Ovarian Res] 2024 Mar 15; Vol. 17 (1), pp. 63. Date of Electronic Publication: 2024 Mar 15.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Embryonic Development*
Female ; Humans ; Retrospective Studies ; Blastocyst ; Machine Learning ; Embryo Culture Techniques/methods ; Time-Lapse Imaging/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Comparison of the Capacity of Several Machine Learning Tools to Assist Immunofluorescence-Based Detection of Anti-Neutrophil Cytoplasmic Antibodies.
Autorzy:
Bertin D; Service d'Immunologie, Biogénopôle, Hôpital de la Timone, Assistance Publique-Hôpitaux de Marseille (AP-HM), 13005 Marseille, France.
Bongrand P; Laboratoire Adhésion et Inflammation, Aix-Marseille University, UM61, Campus Luminy, 13009 Marseille, France.; INSERM U1067, Campus Luminy, 13009 Marseille, France.; CNRS, U7333, Campus Luminy, 13009 Marseille, France.
Bardin N; Service d'Immunologie, Biogénopôle, Hôpital de la Timone, Assistance Publique-Hôpitaux de Marseille (AP-HM), 13005 Marseille, France.; INSERM, U1076, Campus Timone, 13005 Marseille, France.; Aix Marseille University, INSERM, INRAE, C2VN, Campus Timone, 13005 Marseille, France.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Mar 13; Vol. 25 (6). Date of Electronic Publication: 2024 Mar 13.
Typ publikacji:
Journal Article
MeSH Terms:
Antibodies, Antineutrophil Cytoplasmic*
Artificial Intelligence*
Humans ; Reproducibility of Results ; Fluorescent Antibody Technique ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Identification of Genomic Signatures for Colorectal Cancer Survival Using Exploratory Data Mining.
Autorzy:
Hummel JJ; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.
Liu D; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65212, USA.
Tallon E; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.
Snyder J; Department of Statistics, University of Missouri, Columbia, MO 65212, USA.
Warren W; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.; Division of Animal Sciences, University of Missouri, Columbia, MO 65212, USA.; Department of Surgery, University of Missouri, Columbia, MO 65212, USA.
Shyu CR; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65212, USA.
Mitchem J; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.; Department of Surgery, University of Missouri, Columbia, MO 65212, USA.; Harry S. Truman Memorial Veterans' Hospital, Columbia, MO 65212, USA.; Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63130, USA.
Cortese R; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.; Department of Pediatrics, University of Missouri, Columbia, MO 65212, USA.; Department of Gynecology, Obstetrics and Women's Health, University of Missouri, Columbia, MO 65212, USA.; Ellis Fischel Cancer Center, University of Missouri, Columbia, MO 65212, USA.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Mar 12; Vol. 25 (6). Date of Electronic Publication: 2024 Mar 12.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Colorectal Neoplasms*/pathology
Humans ; Neoplasm Recurrence, Local/pathology ; Mutation ; Genomics ; Gene Expression Regulation, Neoplastic
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective.
Autorzy:
Niño SB; Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes-Quinta da Nora, 3030-199 Coimbra, Portugal.
Bernardino J; Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes-Quinta da Nora, 3030-199 Coimbra, Portugal.; Centre for Informatics and Systems, University of Coimbra (CISUC), Pólo II, Pinhal de Marrocos, 3030-290 Coimbra, Portugal.
Domingues I; Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes-Quinta da Nora, 3030-199 Coimbra, Portugal.; Medical Physics, Radiobiology and Radiological Protection Group, Research Centre of the Portuguese Institute of Oncology of Porto (CI-IPOP), 4200-072 Porto, Portugal.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Mar 08; Vol. 24 (6). Date of Electronic Publication: 2024 Mar 08.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Algorithms*
Abdomen ; Liver/diagnostic imaging ; Tomography, X-Ray Computed/methods ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful live birth prediction: a retrospective monocentric study.
Autorzy:
Papamentzelopoulou MS; Molecular Biology Unit, Division of Human Reproduction, 1st Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, 80, Vasilissis Sofias Ave., Athens, 11528, Greece. .
Prifti IN; IVF Athens Reproduction Center V. Athanassiou, Maroussi, Greece.
Mavrogianni D; Molecular Biology Unit, Division of Human Reproduction, 1st Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, 80, Vasilissis Sofias Ave., Athens, 11528, Greece.
Tseva T; IVF Athens Reproduction Center V. Athanassiou, Maroussi, Greece.
Soyhan N; IVF Athens Reproduction Center V. Athanassiou, Maroussi, Greece.
Athanasiou A; IVF Athens Reproduction Center V. Athanassiou, Maroussi, Greece.; HUG (Hôpitaux universitaires de Genève), Rue Gabrielle-Perret-Gentil 4, Genève 14, Genève, 1211, Switzerland.
Athanasiou A; IVF Athens Reproduction Center V. Athanassiou, Maroussi, Greece.; RHNe (Réseau hospitalier neuchâtelois), Chasseral 20, La Chaux-de-Fonds, 2303, Switzerland.
Athanasiou A; IVF Athens Reproduction Center V. Athanassiou, Maroussi, Greece.; Department of Gynecology Oncology, Agios Savvas, General Anti-Cancer Hospital, Athens, Greece.
Vogiatzi P; IVF Athens Reproduction Center V. Athanassiou, Maroussi, Greece.; Andromed Health & Reproduction, Fertility Diagnostics Laboratory, Maroussi, Greece.
Konomos G; LE MONDE College, Athens, Greece.
Loutradis D; Institute of Fertility, Athens, Greece.
Sakellariou M; IVF Athens Reproduction Center V. Athanassiou, Maroussi, Greece.
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Źródło:
Reproductive biology and endocrinology : RB&E [Reprod Biol Endocrinol] 2024 Mar 05; Vol. 22 (1), pp. 27. Date of Electronic Publication: 2024 Mar 05.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Live Birth*
Pregnancy ; Female ; Humans ; Retrospective Studies ; Embryo, Mammalian ; Pregnancy, Multiple
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Critical evaluation of artificial intelligence as a digital twin of pathologists for prostate cancer pathology.
Autorzy:
Eminaga O; AI Vobis, Palo Alto, CA, 94306, USA. .
Abbas M; Department of Pathology, Prostate Center, University Hospital Muenster, Muenster, Germany. .
Kunder C; Department of Pathology, Stanford University School of Medicine, Stanford, USA.
Tolkach Y; Department of Pathology, Cologne University Hospital, Cologne, Germany.
Han R; Department of Computer Science, Stanford University, Stanford, USA.
Brooks JD; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
Nolley R; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
Semjonow A; Department of Urology, Prostate Center, University Hospital Muenster, Muenster, Germany.
Boegemann M; Department of Urology, Prostate Center, University Hospital Muenster, Muenster, Germany.
West R; Department of Pathology, Cologne University Hospital, Cologne, Germany.
Long J; Department of Pediatrics, Stanford University School of Medicine, Stanford, USA.
Fan RE; Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
Bettendorf O; Institute for Pathology and Cytology, Schuettorf, Germany. O_.
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Źródło:
Scientific reports [Sci Rep] 2024 Mar 04; Vol. 14 (1), pp. 5284. Date of Electronic Publication: 2024 Mar 04.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Prostatic Neoplasms*
Humans ; Male ; Pathologists ; Prostate ; Biopsy
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Differences in the annotation between facial images and videos for training an artificial intelligence for skin type determination.
Autorzy:
Lehner GM; Department of Dermatology and Allergology, University Hospital Augsburg, Augsburg, Germany.
Gockeln L; Department of Dermatology and Allergology, University Hospital Augsburg, Augsburg, Germany.
Naber BM; Department of Dermatology and Allergology, University Hospital Augsburg, Augsburg, Germany.
Thamm JR; Department of Dermatology and Allergology, University Hospital Augsburg, Augsburg, Germany.
Schuh S; Department of Dermatology and Allergology, University Hospital Augsburg, Augsburg, Germany.
Duttler G; GRANDEL-The Beautyness Company, Augsburg, Germany.
Rottenkolber A; GRANDEL-The Beautyness Company, Augsburg, Germany.
Hartmann D; IT Infrastructure for Translational Medical Research, University of Augsburg, Augsburg, Germany.
Kramer F; IT Infrastructure for Translational Medical Research, University of Augsburg, Augsburg, Germany.
Welzel J; Department of Dermatology and Allergology, University Hospital Augsburg, Augsburg, Germany.
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Źródło:
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) [Skin Res Technol] 2024 Mar; Vol. 30 (3), pp. e13632.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Skin*/diagnostic imaging
Humans ; Elasticity ; Face/diagnostic imaging ; Pilot Projects ; Cross-Over Studies
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Artificial intelligence assistance for fetal development: evaluation of an automated software for biometry measurements in the mid-trimester.
Autorzy:
Han X; Department of Ultrasonography, Shenzhen University General Hospital, Shenzhen, Guangdong, China.
Yu J; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China.; Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen University, Shenzhen, Guangdong, China.; Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, Guangdong, China.
Yang X; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China.; Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen University, Shenzhen, Guangdong, China.; Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, Guangdong, China.
Chen C; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China.; Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen University, Shenzhen, Guangdong, China.; Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, Guangdong, China.
Zhou H; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China.; Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen University, Shenzhen, Guangdong, China.; Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, Guangdong, China.
Qiu C; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China.; Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen University, Shenzhen, Guangdong, China.; Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, Guangdong, China.
Cao Y; Shenzhen RayShape Medical Technology Co., Ltd, Shenzhen, Guangdong, China.
Zhang T; NVIDIA, Shenzhen, China.
Peng M; NVIDIA, Shenzhen, China.
Zhu G; Department of Ultrasonography, Shenzhen University General Hospital, Shenzhen, Guangdong, China.
Ni D; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China.; Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen University, Shenzhen, Guangdong, China.; Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, Guangdong, China.
Zhang Y; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China. .; Medical Ultrasound Image Computing (MUSIC) Lab, Shenzhen University, Shenzhen, Guangdong, China. .; Marshall Laboratory of Biomedical Engineering, Shenzhen University, Shenzhen, Guangdong, China. .
Liu N; Department of Ultrasonography, Shenzhen University General Hospital, Shenzhen, Guangdong, China. .
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Źródło:
BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2024 Feb 23; Vol. 24 (1), pp. 158. Date of Electronic Publication: 2024 Feb 23.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Fetal Weight*
Pregnancy ; Female ; Humans ; Infant ; Cross-Sectional Studies ; Prospective Studies ; Reproducibility of Results ; Ultrasonography, Prenatal/methods ; Fetus/diagnostic imaging ; Fetal Development ; Gestational Age ; Software ; Biometry
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Artificial intelligence's impact on breast cancer pathology: a literature review.
Autorzy:
Soliman A; Department of Pathology, Ohio State University, Columbus, OH, USA.
Li Z; Department of Pathology, Ohio State University, Columbus, OH, USA.
Parwani AV; Department of Pathology, Ohio State University, Columbus, OH, USA. .
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Źródło:
Diagnostic pathology [Diagn Pathol] 2024 Feb 22; Vol. 19 (1), pp. 38. Date of Electronic Publication: 2024 Feb 22.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Triple Negative Breast Neoplasms*
Humans ; Reproducibility of Results ; Neural Networks, Computer ; Lymphatic Metastasis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Evaluation of an artificial intelligence-based clinical trial matching system in Chinese patients with hepatocellular carcinoma: a retrospective study.
Autorzy:
Wang K; State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, No. 1838, North Guangzhou Avenue, Baiyun District, Guangzhou, China.
Cui H; State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, No. 1838, North Guangzhou Avenue, Baiyun District, Guangzhou, China.
Zhu Y; State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, No. 1838, North Guangzhou Avenue, Baiyun District, Guangzhou, China.
Hu X; State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, No. 1838, North Guangzhou Avenue, Baiyun District, Guangzhou, China.
Hong C; State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, No. 1838, North Guangzhou Avenue, Baiyun District, Guangzhou, China.
Guo Y; State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, No. 1838, North Guangzhou Avenue, Baiyun District, Guangzhou, China.
An L; Research and Development Department, Huimei Technology Co., Ltd, Beijing, China.
Zhang Q; Research and Development Department, Huimei Technology Co., Ltd, Beijing, China.
Liu L; State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, No. 1838, North Guangzhou Avenue, Baiyun District, Guangzhou, China. .; Big Data Centre, Nanfang Hospital, Southern Medical University, Guangzhou, China. .
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Źródło:
BMC cancer [BMC Cancer] 2024 Feb 22; Vol. 24 (1), pp. 246. Date of Electronic Publication: 2024 Feb 22.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Carcinoma, Hepatocellular*/diagnosis
Carcinoma, Hepatocellular*/therapy
Liver Neoplasms*/diagnosis
Liver Neoplasms*/therapy
Patient Selection*
Humans ; China/epidemiology ; Reproducibility of Results ; Retrospective Studies ; Clinical Trials as Topic ; Hospitalization
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions.
Autorzy:
Trinkley KE; Department of Family Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. .; Adult and Child Center for Outcomes Research and Delivery Science Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. .; Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. .; Colorado Center for Personalized Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. .
An R; Brown School and Division of Computational and Data Sciences at Washington University in St. Louis, St. Louis, MO, USA.
Maw AM; Adult and Child Center for Outcomes Research and Delivery Science Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.; School of Medicine, Division of Hospital Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Glasgow RE; Department of Family Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.; Adult and Child Center for Outcomes Research and Delivery Science Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Brownson RC; Prevention Research Center, Brown School at Washington University in St. Louis, St. Louis, MO, USA.; Department of Surgery, Division of Public Health Sciences, and Alvin J. Siteman Cancer Center, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
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Źródło:
Implementation science : IS [Implement Sci] 2024 Feb 21; Vol. 19 (1), pp. 17. Date of Electronic Publication: 2024 Feb 21.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Implementation Science*
Humans ; Evidence-Based Practice
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Wyświetlanie 1-20 z 563359

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