With　the　development　of　medical　big　data　and　artificial　intelligence　technology,　the　research　on　Alzheimer＇s　disease　(AD)　based　on　structural　magnetic　resonance　imaging　(sMRI)　using　convolutional　neural　networks　(CNN)　has　gradually　become　one　of　the　hotspots　in　neuroscience.　To　further　promote　the　application　of　3D　CNN　in　neuroimaging　research,　the　research　progress　of　sMRI　analysis　based　on　3D　CNN　in　AD　classification　was　reviewed.　First,　the　development　of　the　machine　learning　technology　applied　to　AD　classification　was　reviewed.　Then,　the　change　of　3D　CNN　architecture　and　the　research　progress　of　its　application　in　AD　classification　were　introduced　from　the　perspective　of　methods.　Finally,　the　existing　challenges　and　future　development　direction　of　the　application　of　3D　CNN　in　the　AD　research　field　were　discussed.　It　is　expected　that　this　technology　can　provide　more　accurate　and　effective　help　for　early　diagnosis　of　AD.　©　2021,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.