Artificial Intelligence Medical Compendium

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

Showing 4,821 to 4,830 of 174,202 articles

People overlook subtractive solutions to mental health problems.

Communications psychology Aug 20, 2025
To solve problems, people tend to add new components to them rather than subtract from them. Across eight experimental and naturalistic studies, we examined if more additive (to start something new or do more) than subtractive advice (to stop or do l... read more 

Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention.

Scientific reports Aug 20, 2025
In histological pathology, frozen sections are often used for rapid diagnosis during surgeries, as they can be produced within minutes. However, they suffer from artifacts and often lack crucial diagnostic details, particularly within the cell nuclei... read more 
Frozen Sections Humans Deep Learning Image Processing, Computer-Assisted Cell Nucleus

Improved Mapping Between Illuminations and Sensors for RAW Images

arXiv Aug 20, 2025
RAW images are unprocessed camera sensor output with sensor-specific RGB values based on the sensor's color filter spectral sensitivities. RAW images also incur strong color casts due to the sensor's response to the spectral properties of scene ill... read more 
Computer Vision and Pattern Recognition

A Real-Time Signal-Based Wavelet Long Short-Term Memory Method for Length-of-Stay Prediction for the Intensive Care Unit: Development and Evaluation Study.

JMIR AI Aug 20, 2025
BACKGROUND: Efficient allocation of health care resources is essential for long-term hospital operation. Effective intensive care unit (ICU) management is essential for alleviating the financial strain on health care systems. Accurate prediction of l... read more 

Improving OCR using internal document redundancy

arXiv Aug 20, 2025
Current OCR systems are based on deep learning models trained on large amounts of data. Although they have shown some ability to generalize to unseen data, especially in detection tasks, they can struggle with recognizing low-quality data. This is ... read more 
Computer Vision and Pattern Recognition Machine Learning Image and Video Processing

A study on the effectiveness of machine learning models for hepatitis prediction.

Scientific reports Aug 20, 2025
Hepatitis continues to be a major global health challenge, leading to high morbidity and mortality rates. Despite advances in diagnosis and treatment, early prediction of hepatitis outcomes remains an essential area for improvement. This study seeks ... read more 
Neural Networks, Computer Machine Learning Humans Aged Adult Algorithms Female Hepatitis Middle Aged Male Support Vector Machine

Seeing Further on the Shoulders of Giants: Knowledge Inheritance for Vision Foundation Models

arXiv Aug 20, 2025
Vision foundation models (VFMs) are predominantly developed using data-centric methods. These methods require training on vast amounts of data usually with high-quality labels, which poses a bottleneck for most institutions that lack both large-sca... read more 
Computer Vision and Pattern Recognition

Non-genetic neuromodulation with graphene optoelectronic actuators for disease models, stem cell maturation, and biohybrid robotics.

Nature communications Aug 20, 2025
Light can serve as a tunable trigger for neurobioengineering technologies, enabling probing, control, and enhancement of brain function with unmatched spatiotemporal precision. Yet, these technologies often require genetic or structural alterations o... read more 
Humans Neurons Brain Induced Pluripotent Stem Cells Robotics Graphite Animals Organoids Optogenetics Alzheimer Disease Cell Differentiation

Accurate machine learning model for human embryo morphokinetic stage detection.

Journal of assisted reproduction and genetics Aug 20, 2025
PURPOSE: The ability to detect, monitor, and precisely time the morphokinetic stages of human pre-implantation embryo development plays a critical role in assessing their viability and potential for successful implantation. Therefore, there is a need... read more 

Propagation-adaptive 4K computer-generated holography using physics-constrained spatial and Fourier neural operator.

Nature communications Aug 20, 2025
Computer-generated holography (CGH) offers a promising method to create true-to-life reconstructions of objects. While recent advances in deep learning-based CGH algorithms have significantly improved the tradeoff between algorithm runtime and image ... read more 
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