The chapter discusses the transition of traditional pathology into the digital era through the advent of digital pathology (DP), which has roots dating back to the 1960s. DP, particularly whole-slide imaging (WSI), has revolutionized the field by enabling high-resolution scanning and digital analysis of tissue sections, facilitating remote collaboration among pathologists. AI, a key component of DP, enhances diagnostic accuracy and efficiency through advanced image processing and machine learning techniques. The chapter highlights the significance of Immunoscore (IS) and Immunoscore Immune-Checkpoints (IS-IC) in cancer diagnosis and treatment, emphasizing their role in predicting immune response and stratifying patients for personalized therapies. Despite challenges such as regulatory hurdles and data quality, the integration of AI-DP into clinical practice is expected to improve diagnostic accuracy, enhance patient care, and advance precision medicine. The chapter concludes by discussing the potential of DP and AI to transform cancer diagnosis, prognosis, and treatment, ultimately improving patient outcomes.The chapter discusses the transition of traditional pathology into the digital era through the advent of digital pathology (DP), which has roots dating back to the 1960s. DP, particularly whole-slide imaging (WSI), has revolutionized the field by enabling high-resolution scanning and digital analysis of tissue sections, facilitating remote collaboration among pathologists. AI, a key component of DP, enhances diagnostic accuracy and efficiency through advanced image processing and machine learning techniques. The chapter highlights the significance of Immunoscore (IS) and Immunoscore Immune-Checkpoints (IS-IC) in cancer diagnosis and treatment, emphasizing their role in predicting immune response and stratifying patients for personalized therapies. Despite challenges such as regulatory hurdles and data quality, the integration of AI-DP into clinical practice is expected to improve diagnostic accuracy, enhance patient care, and advance precision medicine. The chapter concludes by discussing the potential of DP and AI to transform cancer diagnosis, prognosis, and treatment, ultimately improving patient outcomes.