Symptoms of cardiovascular disease (CVD) or heart attack, a leading cause of premature death and disability worldwide, start in adolescence (an estimated 53% of 26–40 years Indians are already at risk). Early intervention and lifestyle change can prevent over four-fifth of CVD occurrences. Senthilkumar Thavasiappan et al show that AI-driven Nursing algorithm can be used effectively for Early Detection of Cardiovascular Health Risk among Adolescents. In a study of 1240 (17–19 years) participants in three North Kerala districts, authors found that Random Forest Classifier AI model is a promising approach in identifying the cardiovascular health risk factors among adolescents.

Hepatobiliary and abdominal conditions are best managed using percutaneous catheter drainage (PCD), an image-guided minimally invasive procedure although it requires adequate nursing care skills. Prashant Singh et al dwelt on Structured Self-Care Intervention among 80 patients (40 experimental, 40 control) undergoing PCD at ILBS Delhi. After evaluating the self-care ability and daily living activities on PCD patients, the authors found greater improvement using structured self-care ability assessment scale and Barthel index than those receiving routine care. Incorporating structured self-care education into routine nursing care may support functional independence and promote recovery among PCD patients.