Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 46,021 to 46,030 of 224,055 articles

Quantitative evaluation of a deep learning-based noise reduction algorithm in digital radiography using noise power spectrum analysis.

Journal of applied clinical medical physics
BACKGROUND: Recently, deep learning (DL)-based noise reduction (DLNR) has been introduced in clinically used digital radiography (DR) systems, reporting superior performance over conventional algorithms. However, DLNR algorithms often operate as "bla... read more 

Stunning Intricacies of RNA Editing Complexes RECC, RESC, and REH2C: Functional Organization, Developmental Regulation, and Evolutionary History in Kinetoplastid Protists.

Wiley interdisciplinary reviews. RNA
RNA metabolism in kinetoplastid protists (Kinetoplastea), including trypanosomes and Leishmania, involves unique post-transcriptional mitochondrial RNA editing that creates translatable mRNAs through uridine (U) insertions and deletions (U-indels) di... read more 

Alcohol Policies in the Association of Southeast Asian Nations Region-Challenges, Opportunities and Moving Forward.

Drug and alcohol review
The Association of Southeast Asian Nations (ASEAN) region saw an increase in alcohol-attributable deaths attributed to the rise in consumption over the past decade. Rapid economic transition underscores the importance of understanding the multifacete... read more 

An overview of artificial intelligence applications in dentistry.

General dentistry
Artificial intelligence (AI) is a rapidly growing sector of technology in a variety of industries, especially healthcare. This literature review will explore the potential of AI systems to revolutionize the field of dentistry as well as their current... read more 

Inverse design method of optical devices for generating target near-fields via physics-informed neural networks.

Optics letters
We propose a method for inverse design of optical devices to generate target near-fields using physics-informed neural networks (PINNs). A finite-difference Helmholtz equation is embedded in the loss function, so the predicted field satisfies the wav... read more 

Unlocking closely spaced wavelength multiplexing by disrupting topological protection in non-Hermitian metasurfaces.

Optics letters
Wavelength-multiplexed metasurfaces enable precise, independent light control at multiple wavelengths within a single platform, demonstrating significant potential for compact applications in imaging, optical communications, and information processin... read more 

Predicting early discontinuation of adalimumab in patients with rheumatoid arthritis using machine learning: A specialty pharmacy-based approach.

Journal of managed care & specialty pharmacy
BACKGROUND: Patients with rheumatoid arthritis (RA) prescribed adalimumab often discontinue treatment within 6 months because of a perceived lack of benefit. Specialty pharmacies are well-positioned to intervene early, but identifying patients at hig... read more 

Machine Learning in Assessing Intraoperative Blood Loss: A Systematic Review and Meta-Analysis.

International nursing review
AIM: To evaluate the value of machine learning in assessing intraoperative blood loss by comparing associated outcomes with those of the gold standard. BACKGROUND: Intraoperative bleeding is a leading cause of death in surgical patients and may be pr... read more 

The potential of artificial intelligence in clinical trials.

European journal of clinical investigation
BACKGROUND: Clinical trials are an important part of evidence generation in medicine but remain burdened by escalating costs, inefficiencies and manual processes. Artificial intelligence (AI) has emerged as a promising approach to address these limit... read more