Artificial Intelligence Medical Compendium

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

Showing 4,201 to 4,210 of 173,705 articles

Nanopore sequencing of intact aminoacylated tRNAs.

Nature communications
The intricate landscape of tRNA modification presents persistent analytical challenges, which have impeded efforts to simultaneously resolve sequence, modification, and aminoacylation state at the level of individual tRNAs. To address these challenge... read more 

Early photoreceptor assessment as a predictor for visual acuity gain after vitrectomy for macula-off retinal detachment.

International journal of retina and vitreous
BACKGROUND: Visual recovery after macula-off rhegmatogenous retinal detachment (RRD) remains limited in many cases, largely due to photoreceptor damage. This study aimed to assess the predictive value of early outer retinal findings on optical cohere... read more 

Intelligent resource allocation in internet of things using random forest and clustering techniques.

Scientific reports
The Internet of Things has proliferated, and the number of devices integrated into intelligent networks has made resource management and allocation one of the most critical challenges. The intrinsic constraints of IoT devices, such as energy consumpt... read more 

Advanced algorithms for UAV tracking of targets exhibiting start-stop and irregular motion.

Scientific reports
This study presents breakthrough mathematical formulations for UAV tracking that achieve 56.1% HOTA accuracy for targets with start-stop and irregular motion-a 65% improvement over traditional Kalman Filter approaches. Unmanned aerial vehicles face s... read more 

Investigating potential biomarkers associated with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis using Mendelian randomization and transcriptomic analysis.

Arthritis research & therapy
BACKGROUND: Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is an autoimmune disorder characterized by multi-organ involvement. Early identification and accurate diagnosis of AAV is crucial for improving prognosis. However, res... read more 

Neural radiance fields assisted by image features for UAV scene reconstruction.

Scientific reports
With the rapid advancement of Unmanned Aerial Vehicle applications, vision-based 3D scene reconstruction has demonstrated significant value in fields such as remote sensing and target detection. However, scenes captured by UAVs are often large-scale,... read more 

Resilience and Brain Changes in Long-Term Ayahuasca Users: Insights From Psychometric and fMRI Pattern Recognition.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Ayahuasca is an Amazonian psychedelic brew that contains dimethyltryptamine (DMT) and beta carbolines. Prolonged use has shown changes in cognitive-behavioral tasks, and in humans, there is evidence of changes in cortical thickness and an... read more 

An effective flowchart for multimodal brain tumor binary classification with ranked 3D texture features.

Scientific reports
Brain tumors have complex structures, and their shape, density, and size can vary widely. Consequently, their accurate classification, which involves identifying features that best describe the tumor data, is challenging. Using classical 2D texture f... read more 

PROCC: a predictive score to identify KRAS wild type metastatic colorectal cancer patients who are likely to obtain survival benefit from panitumumab treatment.

British journal of cancer
BACKGROUND: Practice guidelines recommend panitumumab with chemotherapy to treat KRAS wild-type (WT) metastatic colorectal cancer (mCRC) patients. However, not all patients respond to this therapy. We propose a score termed "PROCC" to identify likely... read more 

Integrating Patient Perspectives Into the Digital Health Technology Readiness Framework: Delphi Study.

Journal of medical Internet research
BACKGROUND: Digital health technologies-including mobile applications, telemedicine platforms, artificial intelligence, and eHealth tools-are transforming health care delivery by enhancing access, personalization, and efficiency. However, traditional... read more