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Artificial Intelligence in Renal Mass Characterization: A Systematic Review of Methodologic Items Related to Modeling, Performance Evaluation, Clinical Utility, and Transparency.
In AJR. American journal of roentgenology
Kocak Burak, Kaya Ozlem Korkmaz, Erdim Cagri, Kus Ece Ates, Kilickesmez Ozgur
artificial intelligence (AI), machine learning, radiomics, renal cell carcinoma, renal mass
Deciphering High-order Structural Correlations within Fluxional Molecules from Classical and Quantum Configurational Entropy.
In Journal of chemical theory and computation
Topolnicki Rafał, Brieuc Fabien, Schran Christoph, Marx Dominik
In Science and engineering ethics
Hubbard Ryan, Greenblum Jake
Artificial intelligence (AI), Biomedical, Decision-making, Ethics, Surrogate
Image-based state-of-the-art techniques for the identification and classification of brain diseases: a review.
In Medical & biological engineering & computing ; h5-index 32.0
Haq Ejaz Ul, Huang Jianjun, Kang Li, Haq Hafeez Ul, Zhan Tijiang
Brain diseases, Brain imaging scan, Computed tomography, Deep learning, Machine learning, Magnetic resonance imaging, Segmentation techniques
In Nanoscale ; h5-index 139.0
Kim Hyojin, Han Jinkyu, Han T Yong-Jin
The Diabits App for Smartphone-Assisted Predictive Monitoring of Glycemia in Patients With Diabetes: Retrospective Observational Study.
In JMIR diabetes
Kriventsov Stan, Lindsey Alexander, Hayeri Amir
artificial intelligence, blood glucose predictions, digital health, machine learning, mobile phone, type 1 diabetes