Forensic Psychiatry

Forensic Psychiatry

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Report Points to Microwave ‘Attack’ as Likely Source of Mystery Illnesses That Hit Diplomats and Spies (Published 2020)
Report Points to Microwave ‘Attack’ as Likely Source of Mystery Illnesses That Hit Diplomats and Spies (Published 2020)
A government-commissioned report provides the most definitive explanation yet for “Havana syndrome,” which struck scores of American employees, first in Cuba and then in China, Russia and other countries.
·nytimes.com·
Report Points to Microwave ‘Attack’ as Likely Source of Mystery Illnesses That Hit Diplomats and Spies (Published 2020)
ai genetically modified corn with phenylethylamines with the fruit body - Google Search
Genetically Boosting the Nutritional Value of Corn Could Benefit Millions | Rutgers University
Erowid Cathinone Vault
Erowid Cathinone Vault : Methcathinone FAQ
Erowid Khat (Catha edulis) Vault
Erowid Ethylcathinone Vault
Erowid Caffeine Vault
Erowid Experience Vaults : Charting the Relatively Unknown: A Study of Four Cathinones
Cathinone : a natural amphetamine
10 Tactics to Prevent AI From Taking Over and Replacing You
How To Remove My AI From Snapchat? Follow These Easy Steps
personal artificial intelligence "PAI" personal area network "PAN" - Google Search
Patient-level proteomic network prediction by explainable artificial intelligence | npj Precision Oncology
Artificial Intelligence Based Pain Assessment Technology in Clinical Application of Real-World Neonatal Blood Sampling - PMC
Artificial Intelligence Based Pain Assessment Technology in Clinical Application of Real-World Neonatal Blood Sampling - PMC
Background: Accurate neonatal pain assessment (NPA) is the key to neonatal pain management, yet it is a challenging task for medical staff. This study aimed to analyze the clinical practicability of the artificial intelligence based NPA (AI-NPA) tool ...
·ncbi.nlm.nih.gov·
Artificial Intelligence Based Pain Assessment Technology in Clinical Application of Real-World Neonatal Blood Sampling - PMC
Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs - Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu, Lun-Chi Chen, Min-Shian Wang, Shau-Hung Lin, Yu-Yi Yu, Chieh-Liang Wu, Ming-Cheng Chan, 2022
Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs - Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu, Lun-Chi Chen, Min-Shian Wang, Shau-Hung Lin, Yu-Yi Yu, Chieh-Liang Wu, Ming-Cheng Chan, 2022
Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using...
·journals.sagepub.com·
Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs - Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu, Lun-Chi Chen, Min-Shian Wang, Shau-Hung Lin, Yu-Yi Yu, Chieh-Liang Wu, Ming-Cheng Chan, 2022
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https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwjZ-ouEic-EAxX3EVkFHcsDBrYQFnoFCPUBEAE&url=https%3A%2F%2Fwww.rand.org%2Fcontent%2Fdam%2Frand%2Fpubs%2Fconf_proceedings%2FCFA500%2FCFA521-1%2FRAND_CFA521-1.pdf&usg=AOvVaw1TTG_fS9ct8-YXp4WJYRcn&opi=89978449
·google.com·
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwjZ-ouEic-EAxX3EVkFHcsDBrYQFnoFCPUBEAE&url=https%3A%2F%2Fwww.rand.org%2Fcontent%2Fdam%2Frand%2Fpubs%2Fconf_proceedings%2FCFA500%2FCFA521-1%2FRAND_CFA521-1.pdf&usg=AOvVaw1TTG_fS9ct8-YXp4WJYRcn&opi=89978449
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Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers | Radiology: Artificial Intelligence
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers | Radiology: Artificial Intelligence
The advent of deep neural networks as a new artificial intelligence (AI) technique has engendered a large number of medical applications, particularly in medical imaging. Such applications of AI must remain grounded in the fundamental tenets of science and scientific publication (1). Scientific results must be reproducible, and a scientific publication must describe the authors’ work in sufficient detail to enable readers to determine the rigor, quality, and generalizability of the work, and potentially to reproduce the work’s results. A number of valuable manuscript checklists have come into widespread use, including the Standards for Reporting of Diagnostic Accuracy Studies (STARD) (2–5), Strengthening the Reporting of Observational studies in Epidemiology (STROBE) (6), and Consolidated Standards of Reporting Trials (CONSORT) (7,8). A radiomics quality score has been proposed to assess the quality of radiomics studies (9).
·pubs.rsna.org·
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers | Radiology: Artificial Intelligence
Artificial intelligence in the diagnosis of pediatric allergic diseases - Ferrante - 2021 - Pediatric Allergy and Immunology - Wiley Online Library
Artificial intelligence in the diagnosis of pediatric allergic diseases - Ferrante - 2021 - Pediatric Allergy and Immunology - Wiley Online Library
Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines capable of learning from data and interacting with the human world. Early diagnosis and diagnostics, ...
·onlinelibrary.wiley.com·
Artificial intelligence in the diagnosis of pediatric allergic diseases - Ferrante - 2021 - Pediatric Allergy and Immunology - Wiley Online Library
Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs - Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu, Lun-Chi Chen, Min-Shian Wang, Shau-Hung Lin, Yu-Yi Yu, Chieh-Liang Wu, Ming-Cheng Chan, 2022
Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs - Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu, Lun-Chi Chen, Min-Shian Wang, Shau-Hung Lin, Yu-Yi Yu, Chieh-Liang Wu, Ming-Cheng Chan, 2022
Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using...
·journals.sagepub.com·
Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs - Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu, Lun-Chi Chen, Min-Shian Wang, Shau-Hung Lin, Yu-Yi Yu, Chieh-Liang Wu, Ming-Cheng Chan, 2022
Articles | Visual Computing for Industry, Biomedicine, and Art
Articles | Visual Computing for Industry, Biomedicine, and Art
Encompassing multidisciplinary interactions in industry, medicine and art fields research, this open access, peer reviewed journal publishes high quality ...
·vciba.springeropen.com·
Articles | Visual Computing for Industry, Biomedicine, and Art
Systematic Review of Virtual Reality Solutions Employing Artificial Intelligence Methods | Proceedings of the 23rd Symposium on Virtual and Augmented Reality