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It noted that the algorithm to detect arrythmia uses a fixed deep neural network (a computational model made up of multiple processing layers) and that the training of the system is adequate."}]}},"provenance":{"kind":"legacy_record","basis":"Editorial assignment.","record_fields":["evidence"],"source_refs":[]},"review_state":"record_mapped","coverage":"partial"},"sources[].upstream_sources":{"state":"unresolved","provenance":{"kind":"curatorial","basis":"Editorial assignment.","record_fields":[],"source_refs":[]},"reason":"This is an explicit unresolved assignment: the sources on record do not settle this question.","review_state":"not_assessed","coverage":"partial"},"strategic_assessments[]":{"state":"unresolved","review_state":"not_assessed","coverage":"partial","family":"strategic assessments"},"summary":{"state":"value_present","value":{"kind":"record_fields","fields":{"summary":"NICE found that Zio XT, a patch worn for up to 14 days with ECGs analyzed by a deep neural network, diagnoses more arrhythmias than 24-hour Holter monitoring at likely neutral or lower cost.","account":"Zio XT, from iRhythm Technologies, is a single-lead ECG patch worn for up to 14 days. Its ZEUS software uses a fixed deep neural network to flag arrhythmias, and company technicians check the results before a report goes to the clinician. The National Institute for Health and Care Excellence (NICE) recommended Zio XT in guidance published on 1 December 2020. The committee concluded that Zio XT increases diagnostic yield compared with 24-hour Holter monitoring. In three of four comparative studies, the yield over total wear time was higher. The evidence included a UK randomized trial in 116 people after stroke or transient ischemic attack. Clinical experts credited the gain mainly to the longer wear time. NICE's assessors found that the network was trained on a large dataset and raised no concerns. NICE judged that Zio XT was likely to be cost neutral or cost saving and asked NHS users to collect more evidence. 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