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Wyszukujesz frazę ""Artificial Intelligence"" wg kryterium: Temat


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Tytuł :
Deciphering the blackbox of omics approaches and artificial intelligence in food waste transformation and mitigation.
Autorzy :
Sharma P; Department of Bioengineering, Integral University, Lucknow, India.
Vimal A; Department of Bioengineering, Integral University, Lucknow, India.
Vishvakarma R; Department of Bioengineering, Integral University, Lucknow, India.
Kumar P; Department of Fruits and Vegetable Processing Technology, Institute of Food Science and Technology, Hungrian University of Agriculture and life Sciences, Budapest, Hungary.
de Souza Vandenberghe LP; Universidade Federal do Parana, Curitiba, Brazil.
Kumar Gaur V; School of Energy and Chemical Engineering, UNIST, Ulsan 44919, Republic of Korea; Centre for Energy and Environmental Sustainability, Lucknow, India. Electronic address: .
Varjani S; Gujarat Pollution Control Board, Gandhinagar, Gujarat 382 010, India. Electronic address: .
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Źródło :
International journal of food microbiology [Int J Food Microbiol] 2022 Jul 02; Vol. 372, pp. 109691. Date of Electronic Publication: 2022 Apr 28.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Refuse Disposal*
Agriculture ; Child ; Food ; Food Supply ; Humans
Czasopismo naukowe
Tytuł :
Using machine learning techniques to predict antimicrobial resistance in stone disease patients.
Autorzy :
Tzelves L; 2nd Department of Urology, Sismanogleio General Hospital, National and Kapodistrian University of Athens, Sismanogleiou 37, Marousi, 15126, Athens, Greece.
Lazarou L; 2nd Department of Urology, Sismanogleio General Hospital, National and Kapodistrian University of Athens, Sismanogleiou 37, Marousi, 15126, Athens, Greece.
Feretzakis G; School of Science and Technology, Hellenic Open University, Patras, Greece.; Department of Quality Control, Research and Continuing Education, Sismanogleio General Hospital, Marousi, Greece.; Information Technologies Department, Sismanogleio General Hospital, Marousi, Greece.
Kalles D; School of Science and Technology, Hellenic Open University, Patras, Greece.
Mourmouris P; 2nd Department of Urology, Sismanogleio General Hospital, National and Kapodistrian University of Athens, Sismanogleiou 37, Marousi, 15126, Athens, Greece.
Loupelis E; Information Technologies Department, Sismanogleio General Hospital, Marousi, Greece.
Basourakos S; Department of Urology, New York Presbyterian Hospital/Weill Cornell Medicine, New York, NY, USA.
Berdempes M; 2nd Department of Urology, Sismanogleio General Hospital, National and Kapodistrian University of Athens, Sismanogleiou 37, Marousi, 15126, Athens, Greece.
Manolitsis I; 2nd Department of Urology, Sismanogleio General Hospital, National and Kapodistrian University of Athens, Sismanogleiou 37, Marousi, 15126, Athens, Greece. .
Mitsogiannis I; 2nd Department of Urology, Sismanogleio General Hospital, National and Kapodistrian University of Athens, Sismanogleiou 37, Marousi, 15126, Athens, Greece.
Skolarikos A; 2nd Department of Urology, Sismanogleio General Hospital, National and Kapodistrian University of Athens, Sismanogleiou 37, Marousi, 15126, Athens, Greece.
Varkarakis I; 2nd Department of Urology, Sismanogleio General Hospital, National and Kapodistrian University of Athens, Sismanogleiou 37, Marousi, 15126, Athens, Greece.
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Źródło :
World journal of urology [World J Urol] 2022 Jul; Vol. 40 (7), pp. 1731-1736. Date of Electronic Publication: 2022 May 26.
Typ publikacji :
Journal Article
MeSH Terms :
Anti-Bacterial Agents*/therapeutic use
Artificial Intelligence*
Drug Resistance, Bacterial ; Humans ; Logistic Models ; Machine Learning ; ROC Curve
Czasopismo naukowe
Tytuł :
Artificial intelligence system for identification of false-negative interpretations in chest radiographs.
Autorzy :
Hwang EJ; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.; Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Park J; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Hong W; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Lee HJ; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.; Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Choi H; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.; Department of Radiology, Chung-Ang University Hospital, 102 Heukseok-ro, Dongjak-gu, Seoul, 06973, Korea.
Kim H; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.; Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Nam JG; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.; Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Goo JM; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.; Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Yoon SH; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.; Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Lee CH; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.; Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Park CM; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea. .; Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea. .; Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea. .
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Źródło :
European radiology [Eur Radiol] 2022 Jul; Vol. 32 (7), pp. 4468-4478. Date of Electronic Publication: 2022 Feb 23.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Radiologists*
Humans ; Middle Aged ; Radiography ; Radiography, Thoracic/methods ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Artificial intelligence for prediction of treatment outcomes in breast cancer: Systematic review of design, reporting standards, and bias.
Autorzy :
Corti C; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Haematology (DIPO), University of Milan, Milan, Italy. Electronic address: .
Cobanaj M; Department of Electronics Informatics and Bioengineering, Polytechnic University of Milan, Milan, Italy.
Marian F; DaVinci Healthcare, Milan, Italy.
Dee EC; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Lloyd MR; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
Marcu S; S.A.T.E. Systems and Advanced Technologies Engineering, Venice, Italy.
Dombrovschi A; synbrAIn, Milan, Italy.
Biondetti GP; OM1, Inc., Boston, MA, USA.
Batalini F; Women's Cancer Program, Mayo Clinic Cancer Center, Phoenix, AZ, USA.
Celi LA; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Curigliano G; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Haematology (DIPO), University of Milan, Milan, Italy.
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Źródło :
Cancer treatment reviews [Cancer Treat Rev] 2022 Jul; Vol. 108, pp. 102410. Date of Electronic Publication: 2022 May 19.
Typ publikacji :
Journal Article; Review; Systematic Review
MeSH Terms :
Artificial Intelligence*
Breast Neoplasms*/therapy
Bias ; Female ; Humans ; Prognosis ; Reproducibility of Results ; Retrospective Studies ; Treatment Outcome
Czasopismo naukowe
Tytuł :
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis.
Autorzy :
van der Velden BHM; Image Sciences Institute, University Medical Center Utrecht, Q.02.4.45, P.O. Box 85500, Utrecht, GA 3508, the Netherlands. Electronic address: .
Kuijf HJ; Image Sciences Institute, University Medical Center Utrecht, Q.02.4.45, P.O. Box 85500, Utrecht, GA 3508, the Netherlands.
Gilhuijs KGA; Image Sciences Institute, University Medical Center Utrecht, Q.02.4.45, P.O. Box 85500, Utrecht, GA 3508, the Netherlands.
Viergever MA; Image Sciences Institute, University Medical Center Utrecht, Q.02.4.45, P.O. Box 85500, Utrecht, GA 3508, the Netherlands.
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Źródło :
Medical image analysis [Med Image Anal] 2022 Jul; Vol. 79, pp. 102470. Date of Electronic Publication: 2022 May 04.
Typ publikacji :
Journal Article; Review; Research Support, Non-U.S. Gov't
MeSH Terms :
Artificial Intelligence*
Deep Learning*
Humans
Czasopismo naukowe
Tytuł :
Artificial intelligence in gastrointestinal and hepatic imaging: past, present and future scopes.
Autorzy :
Gandhi D; Department of Diagnostic Radiology, University of Tennessee Health Science Center, Memphis, TN 38103, USA. Electronic address: .
Garg T; Department of Radiology, Seth GS Medical College & KEM Hospital, Acharya Donde Marg, Parel East, Parel, Mumbai, Maharashtra 400012, India.
Patel L; Division of Hospital Medicine, Abbott Northwestern Hospital, Allina Health, Minneapolis, MN 55407, USA.
Elkassem AA; Department of Radiology, University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL 35249, USA.
Bansal V; Seth GS Medical College & KEM Hospital, Acharya Donde Marg, Parel East, Parel, Mumbai, Maharashtra 400012, India.
Smith A; Department of Radiology, University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL 35249, USA.
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Źródło :
Clinical imaging [Clin Imaging] 2022 Jul; Vol. 87, pp. 43-53. Date of Electronic Publication: 2022 Apr 20.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Radiology*
Diagnostic Imaging/methods ; Forecasting ; Humans ; Machine Learning
Czasopismo naukowe
Tytuł :
Hippocampal formation-inspired probabilistic generative model.
Autorzy :
Taniguchi A; Ritsumeikan Univervsity, 1-1-1 Noji-Higashi, Kusatsu, Shiga 525-8577, Japan. Electronic address: .
Fukawa A; The Whole Brain Architecture Initiative, Nishikoiwa 2-19-21, Edogawa-ku, Tokyo, 133-0057, Japan. Electronic address: .
Yamakawa H; The Whole Brain Architecture Initiative, Nishikoiwa 2-19-21, Edogawa-ku, Tokyo, 133-0057, Japan; The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; RIKEN, 6-2-3, Furuedai, Suita, Osaka 565-0874, Japan. Electronic address: .
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Źródło :
Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2022 Jul; Vol. 151, pp. 317-335. Date of Electronic Publication: 2022 Apr 08.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Robotics*
Brain ; Entorhinal Cortex ; Hippocampus
Czasopismo naukowe
Tytuł :
Machine learning approaches and their applications in drug discovery and design.
Autorzy :
Priya S; Department of Chemistry, T. N. B. College, TMBU, Bhagalpur, India.
Tripathi G; Department of Chemistry, T. N. B. College, TMBU, Bhagalpur, India.
Singh DB; Department of Biotechnology, Siddharth University, Siddharth Nagar, India.
Jain P; National Institute of Plant Genome Research, New Delhi, India.
Kumar A; Department of Chemistry, Mahatma Gandhi Central University, Motihari, India.
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Źródło :
Chemical biology & drug design [Chem Biol Drug Des] 2022 Jul; Vol. 100 (1), pp. 136-153. Date of Electronic Publication: 2022 Apr 23.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Machine Learning*
Drug Design ; Drug Discovery/methods ; Ligands ; Molecular Docking Simulation
Czasopismo naukowe
Tytuł :
An artificial intelligence system using maximum intensity projection MR images facilitates classification of non-mass enhancement breast lesions.
Autorzy :
Wang L; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Chang L; Department of Research & Development, Yizhun Medical AI Co. Ltd., Beijing, China.
Luo R; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Cui X; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Liu H; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Wu H; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Chen Y; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Zhang Y; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Wu C; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Li F; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Liu H; Department of Research & Development, Yizhun Medical AI Co. Ltd., Beijing, China.
Guan W; Department of Pathology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
Wang D; Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai, 200092, China. .
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Źródło :
European radiology [Eur Radiol] 2022 Jul; Vol. 32 (7), pp. 4857-4867. Date of Electronic Publication: 2022 Mar 08.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Breast Neoplasms*/diagnostic imaging
Breast Neoplasms*/pathology
Breast/diagnostic imaging ; Breast/pathology ; Female ; Humans ; Magnetic Resonance Imaging/methods ; ROC Curve ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Online learning-empowered smart management for A O process in sewage treatment processes.
Autorzy :
Fan Y; National Research Base of Intelligent Manufacturing Service, School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, 400067, China. Electronic address: .
Guo Z; School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, 400067, China. Electronic address: .
Wang J; National Research Base of Intelligent Manufacturing Service, School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, 400067, China. Electronic address: .
Zhang B; National Research Base of Intelligent Manufacturing Service, School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, 400067, China. Electronic address: .
Shen Y; National Research Base of Intelligent Manufacturing Service, School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, 400067, China; Chongqing South-to-Thais Environmental Protection Technology Research Lnstitute Co. Ltd., Chongqing, 400069, China. Electronic address: .
Gao X; National Research Base of Intelligent Manufacturing Service, School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, 400067, China; Chongqing Water Group Co. Ltd., Chongqing, 400042, China. Electronic address: .
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Źródło :
Environmental research [Environ Res] 2022 Jul; Vol. 210, pp. 113015. Date of Electronic Publication: 2022 Feb 24.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Artificial Intelligence*
Education, Distance*
Intelligence ; Machine Learning ; Sewage
Czasopismo naukowe
Tytuł :
Is Artificial Intelligence (AI) a Pipe Dream? Why Legal Issues Present Significant Hurdles to AI Autonomy.
Autorzy :
Mezrich JL; Department of Diagnostic Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar St, TE2, New Haven, CT 06520.
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Źródło :
AJR. American journal of roentgenology [AJR Am J Roentgenol] 2022 Jul; Vol. 219 (1), pp. 152-156. Date of Electronic Publication: 2022 Feb 09.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Radiology*
Humans ; Liability, Legal ; Machine Learning ; Radiologists
Czasopismo naukowe
Tytuł :
Exploring the roles of artificial intelligence in surgical education: A scoping review.
Autorzy :
Bilgic E; Department of Surgery, McGill University, Montreal, Quebec, Canada.
Gorgy A; Department of Surgery, McGill University, Montreal, Quebec, Canada.
Yang A; Department of Surgery, McGill University, Montreal, Quebec, Canada.
Cwintal M; Department of Surgery, McGill University, Montreal, Quebec, Canada.
Ranjbar H; Department of Surgery, McGill University, Montreal, Quebec, Canada.
Kahla K; Department of Surgery, McGill University, Montreal, Quebec, Canada.
Reddy D; Department of Surgery, McGill University, Montreal, Quebec, Canada.
Li K; Department of Surgery, McGill University, Montreal, Quebec, Canada.
Ozturk H; Department of Surgery, McGill University, Montreal, Quebec, Canada.
Zimmermann E; Department of Surgery, McGill University, Montreal, Quebec, Canada.
Quaiattini A; Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Canada; Institute of Health Sciences Education, McGill University, Montreal, Quebec, Canada.
Abbasgholizadeh-Rahimi S; Department of Family Medicine, McGill University, Montreal, Quebec, Canada; Department of Electrical and Computer Engineering, McGill University, Montreal, Canada; Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada; Mila Quebec AI Institute, Montreal, Canada.
Poenaru D; Institute of Health Sciences Education, McGill University, Montreal, Quebec, Canada; Department of Pediatric Surgery, McGill University, Canada.
Harley JM; Department of Surgery, McGill University, Montreal, Quebec, Canada; Institute of Health Sciences Education, McGill University, Montreal, Quebec, Canada; Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada; Steinberg Centre for Simulation and Interactive Learning, McGill University, Montreal, Quebec, Canada. Electronic address: .
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Źródło :
American journal of surgery [Am J Surg] 2022 Jul; Vol. 224 (1 Pt A), pp. 205-216. Date of Electronic Publication: 2021 Nov 30.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Learning*
Humans
Czasopismo naukowe
Tytuł :
Going deep into schizophrenia with artificial intelligence.
Autorzy :
Cortes-Briones JA; Schizophrenia and Neuropharmacology Research Group, VA Connecticut Healthcare System, West Haven, CT, USA; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA. Electronic address: .
Tapia-Rivas NI; Department of Electrical Engineering, University of Chile, Santiago, Chile.
D'Souza DC; Schizophrenia and Neuropharmacology Research Group, VA Connecticut Healthcare System, West Haven, CT, USA; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, CT, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Estevez PA; Department of Electrical Engineering, University of Chile, Santiago, Chile.
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Źródło :
Schizophrenia research [Schizophr Res] 2022 Jul; Vol. 245, pp. 122-140. Date of Electronic Publication: 2021 Jun 05.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Schizophrenia*/therapy
Algorithms ; Bayes Theorem ; Humans ; Machine Learning
Czasopismo naukowe
Tytuł :
Use of artificial intelligence as an instrument of evaluation after stroke: a scoping review based on international classification of functioning, disability and health concept.
Autorzy :
Luvizutto GJ; Department of Applied Physical Therapy, Federal University of Triângulo Mineiro, Uberaba, Brazil.
Silva GF; Federal University of Triângulo Mineiro, Uberaba, Brazil.
Nascimento MR; Federal University of Triângulo Mineiro, Uberaba, Brazil.
Sousa Santos KC; Federal University of Triângulo Mineiro, Uberaba, Brazil.
Appelt PA; Federal University of Triângulo Mineiro, Uberaba, Brazil.
de Moura Neto E; Federal University of Triângulo Mineiro, Uberaba, Brazil.
de Souza JT; Department of Internal Medicine, Botucatu Medical School, Brazil.; Department of Neurology, Psychology and Psychiatry, Botucatu Medical School, Brazil.
Wincker FC; Department of Internal Medicine, Botucatu Medical School, Brazil.; Department of Neurology, Psychology and Psychiatry, Botucatu Medical School, Brazil.
Miranda LA; Department of Internal Medicine, Botucatu Medical School, Brazil.; Department of Neurology, Psychology and Psychiatry, Botucatu Medical School, Brazil.
Hamamoto Filho PT; Department of Neurology, Psychology and Psychiatry, Botucatu Medical School, Brazil.
de Souza LAPS; Department of Applied Physical Therapy, Federal University of Triângulo Mineiro, Uberaba, Brazil.
Simões RP; Department of Bioprocesses and Biotechnology, São Paulo State University, Botucatu, SP, Brazil.
de Oliveira Vidal EI; Department of Internal Medicine, Botucatu Medical School, Brazil.
Bazan R; Department of Neurology, Psychology and Psychiatry, Botucatu Medical School, Brazil.
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Źródło :
Topics in stroke rehabilitation [Top Stroke Rehabil] 2022 Jul; Vol. 29 (5), pp. 331-346. Date of Electronic Publication: 2021 Jun 11.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Stroke*
Algorithms ; Humans ; International Classification of Functioning, Disability and Health ; Muscle Spasticity
Czasopismo naukowe
Tytuł :
Improve individual treatment by comparing treatment benefits: cancer artificial intelligence survival analysis system for cervical carcinoma.
Autorzy :
Liang J; Department of Gynaecology, Shunde Hospital, Southern Medical University, Shunde, 528303, Guangdong, China.
He T; Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, 528303, Guangdong, China.
Li H; Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, 528303, Guangdong, China.
Guo X; Department of Gynaecology, Shunde Hospital, Southern Medical University, Shunde, 528303, Guangdong, China.
Zhang Z; Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, 528303, Guangdong, China. .
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Źródło :
Journal of translational medicine [J Transl Med] 2022 Jun 28; Vol. 20 (1), pp. 293. Date of Electronic Publication: 2022 Jun 28.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Carcinoma*
Humans ; Nomograms ; Prognosis ; Proportional Hazards Models
Czasopismo naukowe
Tytuł :
Exponential growth of systematic reviews assessing artificial intelligence studies in medicine: challenges and opportunities.
Autorzy :
von Groote T; Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany. .
Ghoreishi N; German Federal Institute for Risk Assessment, Berlin, Germany.
Björklund M; Library/ICT, Faculty of Medicine, Lund University, Lund, Sweden.
Porschen C; Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany.
Puljak L; Center for Evidence-Based Medicine and Healthcare, Catholic University of Croatia, Zagreb, Croatia.
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Źródło :
Systematic reviews [Syst Rev] 2022 Jun 28; Vol. 11 (1), pp. 132. Date of Electronic Publication: 2022 Jun 28.
Typ publikacji :
Letter
MeSH Terms :
Artificial Intelligence*
Medicine*
Humans ; Research ; Systematic Reviews as Topic
Opinia redakcyjna

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