Artificial Intelligence Medical Compendium

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

Showing 23,741 to 23,750 of 217,366 articles

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models.

Clinical anatomy (New York, N.Y.)
The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomograp... read more 

Flatness error control technology based on random forests.

Optics letters
In a dual-beam super-resolution laser direct-writing lithography system, the flatness error of the motion stage during XY-plane scanning (small fluctuations along the Z direction) is a critical factor that degrades writing accuracy. This work present... read more 

Angle-multiplexed holography based on optical diffractive neural networks.

Optics letters
We propose an angle-multiplexed holography based on an optical diffractive neural network. The method expands the three-dimensional optical design space through a multi-level cascaded diffractive structure, offering enhanced optical field modulation ... read more 

Robust denoising of low-fluence single-shot PAM using spatial attention-enhanced deep learning.

Optics letters
Photoacoustic microscopy (PAM) enables label-free imaging of microvasculature with high optical absorption contrast and distinctive spatial resolution. However, time-resolved applications, specifically in vivo monitoring of microcirculation and high-... read more 

Ghost imaging in dynamic underwater environments by dual-measurement intensity correction.

Optics letters
A major obstacle to underwater imaging is water-column scattering, especially under dynamic or turbulent conditions. Within the framework of computational ghost imaging, the inherent averaging effect partly counteracts this scattering, and according ... read more 

Real-time Fabry-Pérot cavity length demodulation via deep learning-based compressed sensing.

Optics letters
Fiber-optic Fabry-Pérot sensors have already been applied to many applications that require fast dynamic measurement due to their superior advantages of electromagnetic interference immunity, high resolution, fast response time, etc. In order to main... read more 

Physics-driven self-supervised learning for non-modulated pyramid wavefront sensing.

Optics letters
Non-modulated pyramid wave-front sensors (PWFS) deliver high sensitivity for extreme adaptive optics (ExAO) yet suffer from severe nonlinearity. While deep learning can alleviate these issues, conventional models rely heavily on large-scale labeled d... read more 

Megahertz-rate down-sampled optical coherence tomography based on high-speed k-linear swept laser and deep learning.

Optics letters
Megahertz-rate optical coherence tomography (MHz-OCT) is an optical imaging technology that has attracted considerable attention in clinical practice. Its advantages, such as ultra-high speed, noninvasiveness, and high resolution, endow it with broad... read more 

The Role of Explanations in AI-Generated Alerts: Qualitative Study of Clinical Views on Explainable AI in Predictive Tools.

JMIR human factors
BACKGROUND: Artificial intelligence (AI)-driven clinical decision support (CDS) tools offer promising solutions for health care delivery by optimizing resource allocation, detecting deterioration, and enabling early interventions. However, adoption r... read more 

CARS-AMP: A Simple and Efficient Deep Learning Model for Antimicrobial Peptide Prediction.

Journal of chemical information and modeling
With the increase in global antibiotic resistance, there is an urgent demand for antibiotic substitutes, for which antimicrobial peptides (AMPs) have attracted a lot of attention due to their unique mechanism of action that makes it difficult for bac... read more