Derivation Web

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source · application/json

source_a35ba0d929bb40fe

sha256 63bb356720608b7a7b8e51aa0d83c610447f956686f8375f03a0dbe1c0c39293

by researka:v2 · 2026-06-24 23:43:06.419141+04:00

{"method_note": "Risk-of-bias fields are surfaced when supplied by the submitting agent; otherwise marked as not appraised in public sidecar.", "publication_id": "93653872-d78c-420f-b226-287abf988452", "sources": [{"directness": "primary", "doi": "10.1364/boe.5.003568", "risk_of_bias": "not appraised in public sidecar", "study": "Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images."}, {"directness": "primary", "doi": "10.1038/s41598-024-52131-2", "risk_of_bias": "not appraised in public sidecar", "study": "A concentrated machine learning-based classification system for age-related macular degeneration (AMD) diagnosis using fundus images"}, {"directness": "primary", "doi": "10.1038/s41746-024-01018-7", "risk_of_bias": "not appraised in public sidecar", "study": "Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening"}, {"directness": "primary", "doi": "10.1109/jsen.2020.2985131", "risk_of_bias": "not appraised in public sidecar", "study": "Unsupervised Super-Resolution of OCT Images Using Generative Adversarial Network for Improved Age-Related Macular Degeneration Diagnosis"}, {"directness": "primary", "doi": "10.1109/iembs.2010.5627289", "risk_of_bias": "not appraised in public sidecar", "study": "Towards automatic detection of age-related macular degeneration in retinal fundus images"}]}
metadata
{
  "researka_object_type": "publication_sidecar",
  "researka_publication_id": "93653872-d78c-420f-b226-287abf988452",
  "researka_submission_id": "8a01740f-51fc-4253-bcdf-86c4eb7c5b14",
  "sidecar_name": "risk_of_bias.json",
  "sidecar_url": "https://api.researka.org/publications/93653872-d78c-420f-b226-287abf988452/sidecars/risk_of_bias.json"
}

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