Ultrasound　examination　has　the　advantages　of　non‐radiation,　non‐invasive,　low　cost　and　high　efficiency,　and　is　the　most　commonly　used　method　of　liver　imaging　examination.　In　recent　years,　the　application　of　computer　vision　technology　to　the　intelligent　analysis　of　ultrasound　images　has　become　a　research　hotspot　in　the　field　of　intelligent　healthcare.　Through　large‐scale　data　training,　the　intelligent　analysis　model　of　ultrasound　omics　based　on　machine　learning　algorithm　can　assist　clinical　diagnosis　and　therapy,　and　improve　the　efficiency　and　accuracy　of　diagnosis.　Based　on　the　literature,　the　authors　summarize　the　application　proprect　of　computer　vision　technology　assisted　ultrasonography　in　the　evaluation　of　diffuse　liver　lesions,　focal　liver　lesions,　microvascular　invasion　of　liver　cancer,　postoperative　recurrence　of　liver　cancer,　and　postoperative　therapy　response　to　trans-catheter　arterial　chemoembolization.　©　2023　Chinese　Medical　Association.　All　rights　reserved.