Artificial Intelligence Medical Compendium

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

Showing 28,821 to 28,830 of 219,647 articles

Isolated Nausea and Pretibial Rash in a Returning Traveler: Forme Fruste of Leptospirosis.

The American journal of tropical medicine and hygiene
Leptospirosis is difficult to diagnose because of protean nonspecific clinical manifestations and the lack of rapid, actionable laboratory testing. A previously healthy woman who presented with nausea is described in the present study. She had modest... read more 

Automated identification of Retinogeniculate Visual Pathway based on Multiscale Point Cloud Fusion Model Network (MSPF-Net).

NeuroImage
The Retinogeniculate Visual Pathway (RGVP) is one of the primary neural pathways responsible for transmitting visual signals from the retina to the lateral geniculate nucleus. Accurate and complete identification of the RGVP is crucial for advancing ... read more 

Long-term forecasting of water quality and algal dynamics in riverine systems using advanced physicochemical-informed machine learning models.

The Science of the total environment
Monitoring water quality in riverine ecosystems is vital for safeguarding public health and maintaining environmental sustainability. Although data-driven modeling approaches have enhanced the ability to forecast chlorophyll-a (Chl-a) and orthophosph... read more 

A generative AI framework unifies human multi-omics to model aging, metabolic health, and intervention response.

Cell metabolism
Understanding aging and complex diseases requires diverse data, ranging from molecular profiles to imaging and routine clinical tests. However, most multi-omic datasets measure only a subset of modalities and are confounded by batch effects. Here, we... read more 

Artificial intelligence-powered automatic tooth segmentation from cone-beam computed tomography for the fabrication of surgical splints.

International journal of oral and maxillofacial surgery
This cross-sectional study explored the feasibility of artificial intelligence (AI)-powered tooth segmentation from cone-beam computed tomography (CBCT) for surgical splint fabrication. Digitized plaster models (0.2 mm offset) served as the reference... read more 

Machine Learning-Assisted Optimization Framework for Single-Element Transcranial Focused Ultrasound Transducer Design for Deep Brain Neuromodulation in Mice.

Ultrasound in medicine & biology
BACKGROUND: Transcranial focused ultrasound (t-FUS) is an emerging noninvasive neuromodulation technique with high spatial precision and deep brain penetration. Due to skull-induced attenuation and acoustic aberrations, precise stimulation of deep br... read more 

Prevalence of Lipoprotein(a) Testing in Patients With Atherosclerotic Cardiovascular Disease Within a Large Australian Cardiology Network.

Heart, lung & circulation
BACKGROUND: Increased lipoprotein(a) (Lp[a]) is a genetically determined causal risk factor for atherosclerotic cardiovascular disease (ASCVD). Historically, Lp(a) testing has been uncommon in Australia. This study aims to assess the prevalence and t... read more 

Multimodal brain imaging-based classification of functional constipation subtypes using machine learning.

Journal of affective disorders
Functional constipation (FC) is a common gastrointestinal condition often accompanied by anxiety and depression status (FCAD). Gastrointestinal symptoms in FCAD patients are not fully resolved with medication, and the responses to treatment can diffe... read more 

Leveraging machine learning and ten-cities observations to disentangle emission and meteorological controls on secondary inorganic aerosols in China.

Environmental pollution (Barking, Essex : 1987)
Secondary inorganic aerosols ((NH4)2SO4 and NH4NO3) play a crucial role in air pollution and climate change, yet the differences in the key drivers and dominant mechanisms governing their formation under China's complex regional backgrounds remain un... read more