Considering　the　fact　that　acute　myocardial　infarction　has　shown　a　trend　towards　younger　age　and　has　become　a　major　health　problem,　it　is　necessary　to　develop　rapid　screening　devices　to　meet　the　needs　of　community　health　care.　Herein,　we　developed　an　artificial　neural　network-assisted　solar-powered　photoelectrochemical　(SP-PEC)　sensing　platform　for　rapid　screening　of　cardiac　troponin　I　(cTnI)　protein　in　the　prognosis　of　patients　with　acute　myocardial　infarction　(AMI)　by　integrating　a　self-powered　photoelectric　signal　output　system　with　low-cost　screen-printed　paper　electrodes　functionalized　with　ultrathin　Bi2O2S　(BOS)　nanosheets.　An　integrated　solarpowered　PEC　immunoassay　with　micro-electro-mechanical　system　(MEMS)　was　constructed　without　an　excitation　light　source.　The　quantification　of　cTnI　protein　was　obtained　by　the　electrical　signal　changes　caused　by　the　electro-oxidation　process　of　H2O2,　generated　by　the　classical　split　immune　reaction,　on　the　electrode　surface.　The　test　electrodes　were　developed　as　dual　working　electrodes,　one　for　target　cTnI　testing　and　the　other　for　evaluating　light　intensity,　to　reduce　the　temporal　inconsistency　of　sunlight.　The　photoelectrodes　were　discovered　to　exhibit　satisfactory　negative　response　to　target　concentrations　in　the　dynamic　range　of　2.0　pg　mL-1-10　ng　mL-1　since　being　regressed　in　an　improved　artificial　neural　network　(ANN)　model　using　the　pooled　dataset　of　target　signals　affected　by　the　light　source.　The　difference　of　hot　electron　and　hole　transfer　behavior　in　different　thickness　of　nano-materials　was　determined　by　finite　element　analysis　(FEA),　which　provided　a　theoretical　basis　for　the　development　of　efficient　PEC　sensors.　This　work　presents　a　unique　perspective　for　the　design　of　a　revolutionary　low-cost　bioassay　platform　by　inventively　illuminating　the　PEC　biosensor＇s　component　process　without　the　use　of　light.