Latest AI and machine learning research in lung cancer for healthcare professionals.
OBJECTIVES: To estimate the impact of a continuous dose reduction and quality improvement program on...
➢ Computed tomography (CT) remains the gold standard for bone imaging, but radiation risks, especial...
This article presents the design of a graphene-based microstrip patch antenna, operating frequency r...
The origin recognition complex (ORC) is a DNA-binding complex composed of six subunits involved in D...
ObjectivesTo evaluate the application of different tube voltages and image-reconstruction algorithms...
BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide. This study ...
BACKGROUND: Lung cancer, especially small-cell lung cancer (SCLC), is a widespread and deadly diseas...
BACKGROUND: Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy characterized b...
OBJECTIVES: To compare image quality and radiation dose between deep learning reconstruction (DLIR) ...
Rapid technological advances in radiation oncology, including artificial intelligence (AI), online a...
The incidence of thyroid cancer has risen in recent decades, largely due to the widespread use of in...
BACKGROUND AND OBJECTIVES: Stereotactic body radiotherapy (SBRT) has emerged as an effective treatme...
Artificial intelligence (AI) can transform osteoporosis (OP) screening, but its application in high-...
Neoadjuvant therapy (NAT) has demonstrated considerable effectiveness in treating locally advanced n...
The primary leading reason for cancer death is non-small-cell lung cancer (NSCLC) still up to date g...
Whole-body MRI (WB-MRI) has evolved over the past 2 decades as a noninvasive imaging technique for d...
OBJECTIVE: This study evaluated the predictive performance of 2 novel 2.5-dimensional (2.5D) deep le...
IMPORTANCE: Cancer antigen 19-9 (CA19-9) is used to assess treatment response among patients with pa...
BACKGROUND: Clinical competency-based education (CBE) has emerged as a critical strategy to enhance ...
BACKGROUND: Cancer heterogeneity results in patients with the same diagnosis responding differently ...
Minimally invasive spine surgery (MISS), supported by advancements in endoscopic systems, tubular re...