Artificial Intelligence Medical Compendium

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

Showing 2,521 to 2,530 of 167,235 articles

Artificial intelligence in orthopedics: fundamentals, current applications, and future perspectives.

Military Medical Research
Conventional diagnostic and therapeutic approaches in orthopedics are frequently time intensive and associated with elevated rates of diagnostic error, underscoring the urgent need for more efficient tools to improve the current situation. Recently, ... read more 

Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelectronic interfaces. However, most systems remain limited to physical stimuli or electroactive small molecules, lacking the ability to transduce biologi... read more 

Deep Learning Reconstruction for T2 Weighted Turbo-Spin-Echo Imaging of the Pelvis: Prospective Comparison With Standard T2-Weighted TSE Imaging With Respect to Image Quality, Lesion Depiction, and Acquisition Time.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
PURPOSE: In pelvic MRI, Turbo Spin Echo (TSE) pulse sequences are used for T2-weighted imaging. However, its lengthy acquisition time increases the potential for artifacts. Deep learning (DL) reconstruction achieves reduced scan times without the deg... read more 

Generating targeted and tailored health communication narratives with AI.

Risk analysis : an official publication of the Society for Risk Analysis
Customized narratives are effective tools to promote risk prevention behaviors in populations. However, the development of such narratives is resource-intensive. Advances in generative artificial intelligence (AI) offer promising solutions to these c... read more 

Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.

The Analyst
Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for preventing the progression of diabetes to complications. In this study, gas chromatography-mass spectrometry (GC-MS) analysis and statistical methods wer... read more 

Respiratory viral infections: when and where? A scoping review of spatiotemporal methods.

Journal of global health
BACKGROUND: Respiratory viral infections pose a substantial disease burden worldwide. Spatiotemporal techniques help identify transmission patterns of these infections, thereby supporting timely control and prevention efforts. We aimed to synthesise ... read more 

Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable.

Endocrinology and metabolism (Seoul, Korea)
Artificial intelligence (AI) is increasingly being explored as a complementary tool to traditional fracture risk assessment methods. Conventional approaches, such as bone mineral density measurement and established clinical risk calculators, provide ... read more 

Characterizing ssRNA and dsRNA electrophoretic behavior: empirical insights with neural network-aided predictions.

The Analyst
RNA-based therapeutics are currently at the forefront of the biopharmaceutical industry because of their safety, efficacy, and shortened time from disease discovery to therapy development. Microfluidic electrophoresis provides a great analytical plat... read more 

Colorimetric detection of bisphenol A in water: a smartphone-based sensor using inverse opal molecularly imprinted photonic crystal hydrogel.

The Analyst
Molecularly imprinted photonic crystal hydrogel (MIPCH) serves as a highly effective platform for the sensitive and selective detection of various analyte molecules. In this study, we present a smartphone-based inverse opal MIPCH (IOMIPCH) sensor des... read more