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Tytuł:
Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A systematic review.
Autorzy:
Farah L; Groupe de Recherche et d'accueil en Droit et Economie de la Santé (GRADES) Department, University Paris-Saclay, Orsay, France; Innovation Center for Medical Devices, Foch Hospital, 40 Rue Worth, 92150 Suresnes, France. Electronic address: .
Davaze-Schneider J; Pharmacy Department, Georges Pompidou European Hospital, AP-HP, 20 Rue Leblanc, 75015 Paris, France.
Martin T; Groupe de Recherche et d'accueil en Droit et Economie de la Santé (GRADES) Department, University Paris-Saclay, Orsay, France; Pharmacy Department, Georges Pompidou European Hospital, AP-HP, 20 Rue Leblanc, 75015 Paris, France.
Nguyen P; Pharmacy Department, Georges Pompidou European Hospital, AP-HP, 20 Rue Leblanc, 75015 Paris, France.
Borget I; Groupe de Recherche et d'accueil en Droit et Economie de la Santé (GRADES) Department, University Paris-Saclay, Orsay, France; Department of Biostatistics and Epidemiology, Gustave Roussy, University Paris-Saclay, 94805 Villejuif, France; Oncostat U1018, Inserm, University Paris-Saclay, Équipe Labellisée Ligue Contre le Cancer, Villejuif, France.
Martelli N; Groupe de Recherche et d'accueil en Droit et Economie de la Santé (GRADES) Department, University Paris-Saclay, Orsay, France; Pharmacy Department, Georges Pompidou European Hospital, AP-HP, 20 Rue Leblanc, 75015 Paris, France.
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Źródło:
Artificial intelligence in medicine [Artif Intell Med] 2023 Jun; Vol. 140, pp. 102547. Date of Electronic Publication: 2023 Apr 23.
Typ publikacji:
Systematic Review; Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Technology Assessment, Biomedical*/methods
Humans ; Algorithms ; Delivery of Health Care ; Cost-Benefit Analysis
Czasopismo naukowe
Szczegóły
Tytuł:
Open Data and transparency in artificial intelligence and machine learning: A new era of research.
Autorzy:
Rodgers CM; F1000, London, UK.
Ellingson SR; UK College of Medicine, Markey Cancer Center, Lexington, Kentucky, USA.
Chatterjee P; Universidad Tecnologica Nacional Facultad Regional Buenos Aires, Buenos Aires, Autonomous City of Buenos Aires, Argentina.; Universidad de la Republica Uruguay, Montevideo, Montevideo Department, Uruguay.
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Źródło:
F1000Research [F1000Res] 2023 Apr 12; Vol. 12, pp. 387. Date of Electronic Publication: 2023 Apr 12 (Print Publication: 2023).
Typ publikacji:
Editorial
MeSH Terms:
Artificial Intelligence*
Machine Learning*
Humans ; Reproducibility of Results ; Health Facilities ; Industry
Opinia redakcyjna
Szczegóły
Tytuł:
Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review.
Autorzy:
Adli HK; Faculty of Data Science & Computing, University Malaysia Kelantan, City Campus, Kota Bharu 16100, Kelantan, Malaysia.
Remli MA; Institute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, City Campus, Kota Bharu 16100, Kelantan, Malaysia.
Wan Salihin Wong KNS; Institute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, City Campus, Kota Bharu 16100, Kelantan, Malaysia.
Ismail NA; Faculty of Data Science & Computing, University Malaysia Kelantan, City Campus, Kota Bharu 16100, Kelantan, Malaysia.
González-Briones A; Grupo de Investigación BISITE, Departamento de Informática y Automática, Facultad de Ciencias, University of Salamanca, Instituto de Investigación Biomédica de Salamanca, Calle Espejo 2, 37007 Salamanca, Spain.
Corchado JM; Grupo de Investigación BISITE, Departamento de Informática y Automática, Facultad de Ciencias, University of Salamanca, Instituto de Investigación Biomédica de Salamanca, Calle Espejo 2, 37007 Salamanca, Spain.
Mohamad MS; Health Data Science Lab, Department of Genetics and Genomics, College of Medical and Health Sciences, United Arab Emirates University, Al Ain 17666, United Arab Emirates.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Apr 05; Vol. 23 (7). Date of Electronic Publication: 2023 Apr 05.
Typ publikacji:
Systematic Review; Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Agriculture*
Technology ; Databases, Factual ; Image Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Development, validation, and feature extraction of a deep learning model predicting in-hospital mortality using Japan's largest national ICU database: a validation framework for transparent clinical Artificial Intelligence (cAI) development.
Autorzy:
Ishii E; Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan.
Nawa N; Department of Medical Education Research and Development, Tokyo Medical and Dental University, Tokyo, Japan.
Hashimoto S; Department of Anesthesiology and Intensive Care Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Shigemitsu H; Institute of Global Affairs, Tokyo Medical and Dental University, Tokyo, Japan.
Fujiwara T; Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan. Electronic address: .
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Źródło:
Anaesthesia, critical care & pain medicine [Anaesth Crit Care Pain Med] 2023 Apr; Vol. 42 (2), pp. 101167. Date of Electronic Publication: 2022 Oct 24.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Deep Learning*
Humans ; Hospital Mortality ; Japan/epidemiology ; Intensive Care Units
Czasopismo naukowe
Szczegóły
Tytuł:
Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health.
Autorzy:
Onno J; Faculty of Pharmacy, University of Montréal, Montréal, Canada; OBVIA, Observatoire sur les impacts sociétaux de l'intelligence artificielle et du numérique, Québec, Canada.
Ahmad Khan F; OBVIA, Observatoire sur les impacts sociétaux de l'intelligence artificielle et du numérique, Québec, Canada; Departments of Medicine & Epidemiology, Biostatistics & Occupational Health, McGill University, Montréal, Canada.
Daftary A; School of Global Health & Dahdaleh Institute of Global Health Research, York University, Canada; Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu Natal, South Africa.
David PM; Faculty of Pharmacy, University of Montréal, Montréal, Canada; OBVIA, Observatoire sur les impacts sociétaux de l'intelligence artificielle et du numérique, Québec, Canada. Electronic address: .
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Źródło:
Social science & medicine (1982) [Soc Sci Med] 2023 Jun; Vol. 327, pp. 115949. Date of Electronic Publication: 2023 May 03.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Tuberculosis*/diagnostic imaging
Tuberculosis*/prevention & control
Humans ; Computers
Czasopismo naukowe
Szczegóły
Tytuł:
A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations.
Autorzy:
Agrawal A; New Delhi operations, Teleradiology Solutions, Delhi, India.
Khatri GD; Nuclear Medicine, Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.
Khurana B; Emergency Radiology, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Sodickson AD; Emergency Radiology, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Liang Y; Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Dreizin D; Trauma and Emergency Radiology, Department of Diagnostic Radiology and Nuclear Medicine, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA. .
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Źródło:
Emergency radiology [Emerg Radiol] 2023 Jun; Vol. 30 (3), pp. 267-277. Date of Electronic Publication: 2023 Mar 13.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Radiology*/education
Humans ; United States ; Motivation ; Radiologists ; Surveys and Questionnaires
Czasopismo naukowe
Szczegóły
Tytuł:
Artificial intelligence's interpretation of the neuroanatomical aspect of Peter Paul Rubens's copy of "The Battle of Anghiari" by Leonardo da Vinci.
Autorzy:
Keshelava G; Clinic Helsicore, Georgia.
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Źródło:
Perception [Perception] 2023 Jun; Vol. 52 (6), pp. 432-435. Date of Electronic Publication: 2023 Mar 22.
Typ publikacji:
Historical Article; Journal Article
MeSH Terms:
Artificial Intelligence*
Paintings*
Humans ; History, 16th Century ; History, 15th Century ; Neuroanatomy
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis-Review of literature and in vitro case study.
Autorzy:
Ampadi Ramachandran R; Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL, USA. .
Chi SW; Department of Civil, Materials, and Environmental Engineering, University of Illinois Chicago, Chicago, IL, USA.
Srinivasa Pai P; Department of Mechanical Engineering, NMAM IT, Nitte, Karnataka, India.
Foucher K; Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA.
Ozevin D; Department of Civil, Materials, and Environmental Engineering, University of Illinois Chicago, Chicago, IL, USA.
Mathew MT; Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL, USA.; Department of Biomedical Sciences, University of Illinois at Rockford, Rockford, IL, USA.
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Źródło:
Medical & biological engineering & computing [Med Biol Eng Comput] 2023 Jun; Vol. 61 (6), pp. 1239-1255. Date of Electronic Publication: 2023 Jan 26.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Hip Prosthesis*
Humans ; Machine Learning ; Prosthesis Failure
Czasopismo naukowe
Szczegóły
Tytuł:
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT.
Autorzy:
Lecler A; Department of Neuroradiology, Foundation Adolphe de Rothschild Hospital, 75019 Paris, France; Université Paris Cité, 75006 Paris, France. Electronic address: .
Duron L; Department of Neuroradiology, Foundation Adolphe de Rothschild Hospital, 75019 Paris, France.
Soyer P; Université Paris Cité, 75006 Paris, France; Department of Radiology, Hopital Cochin, AP-HP, 75014 Paris, France.
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Źródło:
Diagnostic and interventional imaging [Diagn Interv Imaging] 2023 Jun; Vol. 104 (6), pp. 269-274. Date of Electronic Publication: 2023 Feb 28.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Radiology*
Humans ; Radiography ; Radiologists ; Communication
Czasopismo naukowe
Szczegóły
Tytuł:
Artificial intelligence-assisted smartphone-based sensing for bioanalytical applications: A review.
Autorzy:
Yang Y; School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, Jiangsu Province, China.
Xu F; School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, Jiangsu Province, China.
Chen J; School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, Jiangsu Province, China.
Tao C; School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, Jiangsu Province, China.
Li Y; School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, Jiangsu Province, China.
Chen Q; College of Ocean Food and Biological Engineering, Jimei University, Xiamen, 361021, Fujian Province, China.
Tang S; School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, Jiangsu Province, China. Electronic address: .
Lee HK; School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, Jiangsu Province, China; Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore, 117543, Singapore. Electronic address: .
Shen W; School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, Jiangsu Province, China. Electronic address: .
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Źródło:
Biosensors & bioelectronics [Biosens Bioelectron] 2023 Jun 01; Vol. 229, pp. 115233. Date of Electronic Publication: 2023 Mar 17.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Biosensing Techniques*
Humans ; Smartphone ; Algorithms ; Software
Czasopismo naukowe
Szczegóły
Tytuł:
The potential role of machine learning in modelling advanced chronic liver disease.
Autorzy:
D'Amico G; Gatroenterology Unit, Azienda Ospedaliera Ospedali Riuniti Villa Sofia-Cervello, Palermo, Italy; Gastroenterology Unit, Clinica La Maddalena, Palermo, Italy. Electronic address: .
Colli A; Department of Transfusion Medicine and Haematology Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Malizia G; Gastroenterology Unit, Clinica La Maddalena, Palermo, Italy.
Casazza G; Department of Clinical Sciences and Community Health - Laboratory of Medical Statistics, Biometry and Epidemiology 'G.A. Maccacaro', Università degli Studi di Milano, Milan, Italy; Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
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Źródło:
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver [Dig Liver Dis] 2023 Jun; Vol. 55 (6), pp. 704-713. Date of Electronic Publication: 2022 Dec 30.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Liver Diseases*/diagnostic imaging
Humans ; Machine Learning ; Neural Networks, Computer ; Algorithms
Czasopismo naukowe
Szczegóły
Tytuł:
Validity and reliability of a mobile digital imaging analysis trained by a four-compartment model.
Autorzy:
Graybeal AJ; School of Kinesiology & Nutrition, College of Education and Human Sciences, University of Southern Mississippi, Hattiesburg, MS, USA.
Brandner CF; School of Kinesiology & Nutrition, College of Education and Human Sciences, University of Southern Mississippi, Hattiesburg, MS, USA.
Tinsley GM; Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.
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Źródło:
Journal of human nutrition and dietetics : the official journal of the British Dietetic Association [J Hum Nutr Diet] 2023 Jun; Vol. 36 (3), pp. 905-911. Date of Electronic Publication: 2022 Dec 07.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Body Composition*
Male ; Female ; Humans ; Absorptiometry, Photon/methods ; Cross-Sectional Studies ; Reproducibility of Results ; Adipose Tissue ; Electric Impedance
Czasopismo naukowe
Szczegóły
Tytuł:
Symbolic knowledge extraction for explainable nutritional recommenders.
Autorzy:
Magnini M; Department of Computer Science and Engineering (DISI), Alma Mater Studiorum - Università di Bologna, via dell'Università 50, Cesena (FC), 47522, Italy. Electronic address: .
Ciatto G; Department of Computer Science and Engineering (DISI), Alma Mater Studiorum - Università di Bologna, via dell'Università 50, Cesena (FC), 47522, Italy. Electronic address: .
Cantürk F; Department of Computer Science, Özyeğin University, Nisantepe Mah. Orman Sok. No:34-36 Alemdağ, Çekmeköy, Istanbul 34794, Türkiye. Electronic address: .
Aydoğan R; Department of Computer Science, Özyeğin University, Nisantepe Mah. Orman Sok. No:34-36 Alemdağ, Çekmeköy, Istanbul 34794, Türkiye; Interactive Intelligence, Delft University of Technology, Mekelweg 4, Delft 2628 CD, the Netherlands. Electronic address: .
Omicini A; Department of Computer Science and Engineering (DISI), Alma Mater Studiorum - Università di Bologna, via dell'Università 50, Cesena (FC), 47522, Italy. Electronic address: .
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Źródło:
Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2023 Jun; Vol. 235, pp. 107536. Date of Electronic Publication: 2023 Apr 05.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Algorithms*
Neural Networks, Computer ; Machine Learning ; Knowledge Bases
Czasopismo naukowe
Szczegóły
Tytuł:
Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI).
Autorzy:
Topff L; Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands. .; GROW School for Oncology and Reproduction, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands. .
Groot Lipman KBW; Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands.; GROW School for Oncology and Reproduction, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.; Department of Thoracic Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands.
Guffens F; Department of Radiology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium.
Wittenberg R; Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands.
Bartels-Rutten A; Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands.
van Veenendaal G; Aidence, Amsterdam, The Netherlands.
Hess M; Aidence, Amsterdam, The Netherlands.
Lamerigts K; Aidence, Amsterdam, The Netherlands.
Wakkie J; Aidence, Amsterdam, The Netherlands.
Ranschaert E; Department of Radiology, St. Nikolaus Hospital, Hufengasse 4-8, 4700, Eupen, Belgium.; Ghent University, C. Heymanslaan 10, 9000, Ghent, Belgium.
Trebeschi S; Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands.
Visser JJ; Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015, GD, Rotterdam, The Netherlands.
Beets-Tan RGH; Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands.; GROW School for Oncology and Reproduction, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, The Netherlands.; Institute of Regional Health Research, University of Southern Denmark, Campusvej 55, 5230, Odense, Denmark.
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Corporate Authors:
ICOVAI, International Consortium for COVID-19 Imaging AI
Źródło:
European radiology [Eur Radiol] 2023 Jun; Vol. 33 (6), pp. 4249-4258. Date of Electronic Publication: 2023 Jan 18.
Typ publikacji:
Multicenter Study; Journal Article
MeSH Terms:
Artificial Intelligence*
COVID-19*
Humans ; Reproducibility of Results ; Tomography, X-Ray Computed ; Algorithms ; Retrospective Studies
Czasopismo naukowe
Szczegóły
Tytuł:
The usefulness of artificial intelligence for safety assessment of different transport modes.
Autorzy:
Tselentis DI; Faculty of Technology, Policy, and Management, Safety and Security Science Section, Delft University of Technology, Jaffalaan 5, Delft 2628 BX, the Netherlands. Electronic address: .
Papadimitriou E; Faculty of Technology, Policy, and Management, Safety and Security Science Section, Delft University of Technology, Jaffalaan 5, Delft 2628 BX, the Netherlands.
van Gelder P; Faculty of Technology, Policy, and Management, Safety and Security Science Section, Delft University of Technology, Jaffalaan 5, Delft 2628 BX, the Netherlands.
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Źródło:
Accident; analysis and prevention [Accid Anal Prev] 2023 Jun; Vol. 186, pp. 107034. Date of Electronic Publication: 2023 Mar 28.
Typ publikacji:
Review; Journal Article
MeSH Terms:
Artificial Intelligence*
Accidents, Traffic*/prevention & control
Humans ; Bayes Theorem ; Transportation ; Neural Networks, Computer
Czasopismo naukowe
Szczegóły
Tytuł:
Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel.
Autorzy:
Dreizin D; Department of Diagnostic Radiology and Nuclear Medicine, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA. .
Staziaki PV; Cardiothoracic Imaging, Department of Radiology, Larner College of Medicine, University of Vermont, Burlington, VT, USA.
Khatri GD; Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.
Beckmann NM; Memorial Hermann Orthopedic & Spine Hospital, McGovern Medical School at UTHealth, Houston, TX, USA.
Feng Z; Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Liang Y; Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Delproposto ZS; Division of Emergency Radiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
Klug M; Sheba Medical Center, Ramat Gan, Israel.
Spann JS; Department of Radiology, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL, USA.
Sarkar N; University of Maryland School of Medicine, Baltimore, MD, USA.
Fu Y; Health Sciences and Human Services Library, University of Maryland, Baltimore, Baltimore, MD, USA.
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Źródło:
Emergency radiology [Emerg Radiol] 2023 Jun; Vol. 30 (3), pp. 251-265. Date of Electronic Publication: 2023 Mar 14.
Typ publikacji:
Review; Journal Article
MeSH Terms:
Artificial Intelligence*
Radiology*
Humans ; Cross-Sectional Studies ; Neural Networks, Computer ; Algorithms
Czasopismo naukowe
Szczegóły
Tytuł:
Assessing protein homology models with docking reproducibility.
Autorzy:
Plonski AP; University of Colorado Denver, United States.
Reed SM; University of Colorado Denver, United States. Electronic address: .
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Źródło:
Journal of molecular graphics & modelling [J Mol Graph Model] 2023 Jun; Vol. 121, pp. 108430. Date of Electronic Publication: 2023 Feb 11.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Proteins*/chemistry
Protein Binding ; Reproducibility of Results ; Binding Sites ; Protein Conformation ; Ligands
Czasopismo naukowe
Szczegóły
Tytuł:
Chatting or cheating? The impacts of ChatGPT and other artificial intelligence language models on nurse education.
Autorzy:
Choi EPH; School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong. Electronic address: .
Lee JJ; School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.
Ho MH; School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.
Kwok JYY; School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.
Lok KYW; School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong.
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Źródło:
Nurse education today [Nurse Educ Today] 2023 Jun; Vol. 125, pp. 105796. Date of Electronic Publication: 2023 Mar 15.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Education, Nursing*
Humans ; Educational Status ; Language
Czasopismo naukowe
Szczegóły
Tytuł:
Artificial intelligence-powered software detected more than half of the liver metastases overlooked by radiologists on contrast-enhanced CT.
Autorzy:
Nakai H; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: .
Sakamoto R; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan; Preemptive Medicine and Lifestyle Disease Research Center, Kyoto University Hospital, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: .
Kakigi T; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: .
Coeur C; AI digital division - Guerbet, 15 Rue des Vanesses, Villepinte 93420, France. Electronic address: .
Isoda H; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan; Preemptive Medicine and Lifestyle Disease Research Center, Kyoto University Hospital, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: .
Nakamoto Y; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: .
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Źródło:
European journal of radiology [Eur J Radiol] 2023 Jun; Vol. 163, pp. 110823. Date of Electronic Publication: 2023 Apr 07.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Liver Neoplasms*/diagnostic imaging
Liver Neoplasms*/secondary
Humans ; Tomography, X-Ray Computed/methods ; Software ; Radiologists ; Retrospective Studies
Czasopismo naukowe
Szczegóły
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