Artificial Intelligence Medical Compendium

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

Showing 59,131 to 59,140 of 227,876 articles

A deep learning radiopathomic signature predicts recurrence risk of hepatocellular carcinoma after hepatectomy.

Communications biology
Accurate prediction of recurrence risk after hepatectomy still remains a clinical challenge for hepatocellular carcinoma (HCC). We develop a deep learning radiopathomic (DLRP) signature to fuse deep features of CT images and histological whole-slide-... read more 

Intelligent decision-making systems for early detection of alzheimer's disease using wearable technologies and deep learning.

Scientific reports
Intelligent decision-making systems using wearable electronics and deep learning (DL) might identify Alzheimer's disease (AD) early for treatment. These technologies can continually monitor vital signs and behavioral characteristics to identify early... read more 

Explainable artificial intelligence for sedimentary facies segmentation.

Scientific reports
Recent advances in artificial intelligence are transforming geosciences, with growing attention on explainable models to support both scientific research and practical adoption. Here, we present a general yet tailored pipeline for semantic segmentati... read more 

A systematic review of AI for predicting glaucoma progression: challenges and recommendations towards clinical implementation.

NPJ digital medicine
Glaucoma is the leading cause of irreversible blindness worldwide with heterogeneous progression rates. Artificial Intelligence (AI) may enable accurate progression predictions in clinical practice. We conducted a systematic review to survey quantita... read more 

Machine learning-enabled prediction of hemorrhagic transformation post-thrombectomy using quantitative DSA.

Scientific reports
This study aims to construct a predictive model for post-thrombectomy hemorrhagic transformation (HT) by integrating hemodynamic features derived from quantitative DSA (qDSA) with machine learning models. A retrospective analysis was conducted on pat... read more 

A comparative evaluation of parafoveal and perifoveal macular vessel density loss in glaucoma using 3 × 3 mm OCTA scans.

Scientific reports
In a prior study we demonstrated the strong performance of convolutional neural networks (CNNs) in distinguishing healthy from glaucomatous eyes and subsequent analysis suggested that CNNs rely on the vessel density (VD) of the perifoveal area for ma... read more 

Community participatory Jingchu folk pattern generation platform construction and user co-creation mechanism analysis.

Scientific reports
In the context of the digital era, the protection and inheritance of traditional cultural heritage face unprecedented opportunities and challenges. This study takes Jingchu folk patterns as the research object and constructs a community participatory... read more 

Increased cervical spinal cord signal intensity corresponds to specific cerebellar and cerebral functional changes in degenerative cervical myelopathy patients.

Scientific reports
Increased signal intensity (ISI) on T2-weighted cervical MR is common in patients with degenerative cervical myelopathy (DCM). However, the subtype-specific brain mechanisms for different ISI types remain unclear. The current study aimed to investiga... read more 

Protein buffering of aneuploidy is driven by coordinated factors identified through machine learning.

Molecular systems biology
Aneuploidy, a hallmark of cancer, alters chromosome copy numbers and with that the abundance of hundreds of proteins. Evidence suggests that levels of proteins encoded on affected chromosomes are often buffered toward their abundances observed in dip... read more