Improving the medical sector is crucial for sustaining population health. Current challenges include managing an increasing number of diseases, handling patient care, and optimizing hospital operations. Every disease needs early-stage screening for prepared treatment and actions, ensuring effective medical management for patients. The continuous development of the You Only Look Once (YOLO) algorithm opens research opportunities for its utilization in medical applications such as disease screening, surgery monitoring, patient health monitoring, food screening, and medical waste segregation. This artificial intelligence-based method does not stand alone. However, it can be integrated with the current machines in hospitals, with the Internet of Medical Things (IoMT), making a complete system for healthcare. This paper reviews previous works in implementing the YOLO model in medical applications and discusses its challenges and considerations due to actual medical situations and requirements. Our technology utilization review aligns with Sustainable Development Goal 3, concerning improved healthcare results and management towards Good Health and Well-Being.