Latest AI and machine learning research in lung cancer for healthcare professionals.
BACKGROUND: Mass spectrometry-based proteomics enables high-throughput quantification of thousands o...
BACKGROUND: Periodontitis (PD) is associated with stress granules (SGs), which are involved in cellu...
Pulmonary embolism (PE) remains a major diagnostic challenge due to its potentially life-threatening...
Phase-contrast computed tomography (PCT) of the breast has previously been shown to produce higher-q...
Here, we utilized advanced bioinformatics approaches alongside experimental validation to identify k...
OBJECTIVES: This paper presents an experimental numerical method for modeling and analyzing stochast...
Small cell lung cancer (SCLC) is the most aggressive subtype with high mortality rates due to the la...
BACKGROUND: High-throughput technologies now produce a wide array of omics data, from genomic and tr...
Objective.Accurate and personalized radiation dose estimation is crucial for effective targeted radi...
Patients with locally advanced non-small cell lung cancer (LA-NSCLC) exhibit heterogeneous prognoses...
BACKGROUND: Accurate preoperative prediction of visceral pleural invasion (VPI) in lung adenocarcino...
Texture analysis is a foundational approach in imaging studies and demonstrates excellent diagnostic...
The integration of artificial intelligence (AI) into surgical practices is advancing towards greater...
This study aimed to elucidate the toxicological effects and underlying mechanisms of the plasticizer...
Non-small cell lung cancer (NSCLC) patient management relies on molecular analysis to determine elig...
PURPOSE: This study aimed to investigate the feasibility of combining high-frequency reconstruction ...
BACKGROUND: Radiation dose reduction is essential in paediatric lung computed tomography (CT). Advan...
ETHNOPHARMACOLOGICAL RELEVANCE: Despite the fact that herbal medicine has been used for a long time,...
PURPOSE: To evaluate the impact of a new deep-learning image reconstruction (DLR) algorithm on image...
OBJECTIVES: Besides clinical examination, cranial CT plays a critical role in diagnostics in neurosu...
OBJECTIVE: Pediatric scoliosis is the most prevalent spinal disorder, often leading to abnormal curv...