Determination of oxygen r1 at 3 Tesla using samples with a concentration range of dissolved oxygen
Vatnehol, Hol, Bjørnerud et al
MAGMA (2019)
Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases
Versbraegen, Fouché, Nachtegael et al
Artif Intell Med (2019) 99, 101690
Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry
Tai, Albuquerque, Carmona et al
Artif Intell Med (2019) 99, 101704
Personalized oncology with artificial intelligence: The case of temozolomide
Houy, Le Grand
Artif Intell Med (2019) 99, 101693
Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces
Greenbaum, Jernite, Halpern et al
Int J Med Inform (2019) 132, 103981
Integrating blockchain technology with artificial intelligence for cardiovascular medicine
Krittanawong, Rogers, Aydar et al
Nat Rev Cardiol (2019)
Artificially intelligent scoring and classification engine for forensic identification
Siino, Sears
Forensic Sci Int Genet (2019) 44, 102162
SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting
Yu, Qiu, Chen et al
Bioinformatics (2019)
A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study
Peine, Hallawa, Schöffski et al
JMIR Med Inform (2019) 7, e14806
Optimizing Screening Colonoscopy: Strategies and Alternatives
Allescher, Weingart
Visc Med (2019) 35, 215-225
Artificial intelligence (AI)-An Inflection Point In the Global History and its Significance For a National Strategy
Indian J Plast Surg (2019) 52, 145-147
Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study
Arnold, Davis, Fischhoff et al
BMJ Open (2019) 9, e032187
Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging
Currie, Hawk, Rohren et al
J Med Imaging Radiat Sci (2019)
Computer algorithm can match physicians' decisions about blood transfusions
Yao, Cifuentes, Zheng et al
J Transl Med (2019) 17, 340
The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: study protocol for a randomized clinical trial
Wijnberge, Schenk, Terwindt et al
Trials (2019) 20, 582
Long non-coding RNA 2310069B03Rik functions as a suppressor of Ucp1 expression under prolonged cold exposure in murine beige adipocytes
Iwase, Sakai, Seno et al
Biosci. Biotechnol. Biochem. (2019)
Convolutional neural networks for wound detection: the role of artificial intelligence in wound care
Ohura, Mitsuno, Sakisaka et al
J Wound Care (2019) 28, S13-S24
Evaluation of an Artificial Intelligence-Based 3D-Angiography for Visualization of Cerebral Vasculature
Lang, Hoelter, Schmidt et al
Clin Neuroradiol (2019)
Choice Quality as a Function of Decision Accuracy and Search Cost
Rastgoo Sisakht, Mousavi, Negarandeh et al
Iran J Psychiatry (2019) 14, 203-210
Fungicidal Impact of Salvadora Persica L. (Miswak) Extract on Growth of Foodborne Pathogens, Aspergillus Species
Saddiq, Alkinani
Dose Response (2019) 17, 1559325819876218