Leveraging artificial intelligence for advancements in reproductive health.

We are writing to address the growing interest in the role of artificial intelligence (AI) within healthcare, particularly in the field of reproductive health. As technology continues to evolve, AI offers an unprecedented opportunity to transform how we diagnose, treat, and improve access to reproductive services, especially in underserved communities. AI-driven tools, supported by machine learning and big data analytics, are already demonstrating their potential in enhancing outcomes in reproductive health.

Number of Prescription Medications and Overall Survival in Metastatic Castrate-Resistant Prostate Cancer.

Assessment of comorbid diseases is essential to clinical research and may risk-stratify patients for mortality independent of established methods such as the Charlson Comorbidity Index (CCI). In a retrospective study of U.S.

Computer Assisted Nodule Analysis and Risk Yield is Associated With Occult Lymph Node Status in Clinical Stage I-IIA Lung Adenocarcinoma Undergoing Resection.

Background: Current staging work-up does not capture all occult lymph node (OLN) disease. We sought to determine if Computer Assisted Nodule Analysis and Risk Yield (CANARY) analysis could help distinguish OLN status in early-stage lung adenocarcinoma.

Methods: Retrospective review of resected lung cancer patients from 2016 to 2021 was performed.

The comprehensive role of dual-energy CT in gout as an advanced diagnostic innovation.

Gout is a common and growing health concern globally, marked by the deposition of monosodium urate (MSU) crystals in joints and soft tissues. While diagnosis relies on synovial fluid analysis, it is limited by technical difficulties and a notable rate of false negatives. Over the past decade, dual-energy computed tomography (DECT) has emerged as a highly sensitive and less-invasive modality for detecting MSU crystals.