Results 141 to 150 of about 11,478 (224)

Acute Cade Oil Poisoning in Children: Report of Two Cases [PDF]

Mohammed Amine Oulalite, Samia Berrichi, Safaa Kachmar, Ilyass Laaribi, Houssam Bkiyar   +4 more
openalex   +1 more source

Artificial Intelligence in Gastrointestinal Endoscopy: Current Advances, Clinical Integration, and Future Directions: A Narrative Review. [PDF]

Clin Exp Gastroenterol
Yagnik VD, Choudhary PR, Garg P.
europepmc   +1 more source

Addressing Ethical, Legal, and Social Issues on Artificial Intelligence Together With Patients' Perspectives: Prerequisites for Responsible Social Implementation in Endoscopy. [PDF]

Dig Endosc
Tsuji Y, Fujishiro M.
europepmc   +1 more source

Integrating Simulation-Based Instruction in Industrial Motor Control: Development and Evaluation of a CADe-SIMU-Enhanced Laboratory Manual

J. M. Ramos, Lea Gabawa
openalex   +2 more sources

Availability and use of computer-aided detection during colonoscopy: A real-world observational study at an Australian tertiary center. [PDF]

World J Gastroenterol
Rao V, Walia N, Parkash N, Wanigaratne T, Henshaw S, Chen G, Lo SW, Be KH, Robertson M, Zorron Cheng Tao Pu L.   +9 more
europepmc   +1 more source

EVALUATION OF ANTI-MICROBIAL ACTIVITY OF JUNIPER WOOD TAR (CADE OIL)

Osman Emre Özkan
openalex   +1 more source

Artificial intelligence assisted colorectal lesion detection in private practices a randomized controlled study. [PDF]

NPJ Digit Med
Lux TJ, Saßmannshausen Z, Kafetzis I, Banck M, Krenzer A, Fitting D, Sudarevic B, Troya J, Boeck W, Passek F, Heubach T, Simonis B, Heil FJ, Ludwig L, Puppe F, Zoller WG, Meining A, Hann A.   +17 more
europepmc   +1 more source

Estruturas de Mercado e o Princípio da Livre Concorrência: Bases Teóricas para a Atuação do CADE

Márcia Medeiros
openalex   +1 more source

Departamento de Estudos Econômicos do Cade: 15 anos

Nelson de Almeida Torreão Júnior, Gerson Carvalho Benia, Guilherme Mendes Resende, Ricardo Medeirosde Castro, Felipe Neiva Mundim   +4 more
openalex   +1 more source

Segmentation-Guided Hybrid Deep Learning for Pulmonary Nodule Detection and Risk Prediction from Multi-Cohort CT Images. [PDF]

Diseases
Subramanyam GK, Srinivas K, Indugu VVR, Gondi DS, Subbammagari SKG.   +4 more
europepmc   +1 more source