Artificial Intelligence Medical Compendium

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

Showing 70,301 to 70,310 of 234,131 articles

PathViT Model for Automated Disease Classification from Skeletal Muscle Histopathology.

The American journal of pathology
Analyzing skeletal muscle pathology from histological images is labor intensive (requiring manual cell counting, segmentation, and thresholding), time consuming, and prone to inter- and intrauser variability, influencing the accuracy and consistency ... read more 

Predicting hydrophone phase and evaluating its uncertainty using magnitude data and minimum phase approach.

Ultrasonics
Hydrophones are commonly used to measure the acoustic output of ultrasound transducers and devices. Commonly, only the magnitude response of a hydrophone is quantified, since the direct measurement of phase response requires a complicated calibration... read more 

Acoustic and machine learning methods for speech-based suicide risk assessment: A systematic review.

Journal of affective disorders
Suicide remains a public health challenge, necessitating improved detection methods to facilitate timely intervention and treatment. This systematic review evaluates the role of Artificial Intelligence (AI) and Machine Learning (ML) in assessing suic... read more 

Anterior segment optical coherence tomography in uveitis: A comprehensive review of clinical applications, diagnostic insights, and future directions.

Survey of ophthalmology
Anterior segment optical coherence tomography (AS-OCT) is emerging as an essential tool in the diagnosis and monitoring of uveitis. Offering noninvasive, high-resolution imaging, AS-OCT allows clinicians to visualize and quantify subtle changes in th... read more 

Large language models accurately extract aortic information from abdominal imaging reports in a large, real-world database.

Journal of vascular surgery
OBJECTIVE: Maintaining robust surveillance programs for abdominal aortic aneurysms (AAAs) is important, but these programs are expensive and labor-intensive, typically requiring manual data review by trained health care professionals. Studies have sh... read more 

TurkerPat: EEG-Based detection of hunger, thirst, and nicotine withdrawal.

Physiology & behavior
BACKGROUND: One of the primary objectives of neuroscience is to gather information from the brain. Therefore, brain data are crucial for understanding its secrets, and one of the most affordable methods for collecting such data is electroencephalogra... read more 

Modeling and forecasting vibrio vulnificus concentration of long-range dependence on marine environmental conditions.

Water research
Vibrio vulnificus (vvh) is an epidemiologically significant bacterium that naturally occurs in coastal waters under favorable environmental conditions and causes one of the highest mortality rates among known foodborne pathogens. Little is currently ... read more 

Machine learning-assisted dual-amplified visual platform based on fluorescent metal-organic framework and photonic crystals enables ATP detection for pathogen monitoring.

Biosensors & bioelectronics
Adenosine triphosphate (ATP), an important energy currency for maintaining life activities, has been widely regarded as a biomarker of disease diagnosis and an indicator of microbial contamination. However, most of the current ATP recognition relies ... read more