This review discusses recent technological advancements in SPECT and SPECT/CT imaging, focusing on hardware and software improvements, their clinical impact, and future directions. SPECT/CT is a hybrid imaging technique that combines the functional information from SPECT with the anatomical details from CT, enhancing diagnostic accuracy and clinical outcomes. Key advancements include the use of more sensitive detector materials such as semiconductor detectors (e.g., CZT) and improvements in detector design, signal amplification, and collimator technology. These innovations have led to shorter scanning times, improved image quality, and reduced patient discomfort. Software techniques, including iterative reconstruction algorithms and resolution-recovery methods, have also enhanced image quality and quantitative analysis. Additionally, the integration of artificial intelligence (AI) in SPECT and SPECT/CT imaging is improving diagnostic efficiency and accuracy. The review highlights the clinical applications of these advancements in cardiology, oncology, musculoskeletal imaging, neurology, and infectious diseases, demonstrating their significant impact on diagnostic and therapeutic outcomes. Future directions include further refinement of hardware and software technologies, the development of more accurate quantitative methods, and the integration of AI to enhance diagnostic capabilities. Overall, these advancements are strengthening the role of SPECT/CT in diagnostic imaging and improving patient care.This review discusses recent technological advancements in SPECT and SPECT/CT imaging, focusing on hardware and software improvements, their clinical impact, and future directions. SPECT/CT is a hybrid imaging technique that combines the functional information from SPECT with the anatomical details from CT, enhancing diagnostic accuracy and clinical outcomes. Key advancements include the use of more sensitive detector materials such as semiconductor detectors (e.g., CZT) and improvements in detector design, signal amplification, and collimator technology. These innovations have led to shorter scanning times, improved image quality, and reduced patient discomfort. Software techniques, including iterative reconstruction algorithms and resolution-recovery methods, have also enhanced image quality and quantitative analysis. Additionally, the integration of artificial intelligence (AI) in SPECT and SPECT/CT imaging is improving diagnostic efficiency and accuracy. The review highlights the clinical applications of these advancements in cardiology, oncology, musculoskeletal imaging, neurology, and infectious diseases, demonstrating their significant impact on diagnostic and therapeutic outcomes. Future directions include further refinement of hardware and software technologies, the development of more accurate quantitative methods, and the integration of AI to enhance diagnostic capabilities. Overall, these advancements are strengthening the role of SPECT/CT in diagnostic imaging and improving patient care.