Deep learning for diabetic retinopathy screening in primary care
This reads as a clinical AI validation study with a primary-care deployment angle. Journals split into two audiences: digital medicine venues that weigh generalisability and workflow impact, and ophthalmology venues that weigh diagnostic accuracy against specialist grading. The shortlist covers both, ordered from the most selective to the most attainable.
- Reach · match 84
- Metrics Score
- 12.4
- Quartile
- Q1
- Submission → acceptance
- 126 days median
- Cost
- $3,590 indicative APC
Why it fits
A cross-specialty digital medicine readership suits a screening model evaluated where patients are first seen rather than in an eye clinic, and the journal's leading topics centre on AI and machine learning in healthcare.
Risks
- Expect close scrutiny of external validation across cameras, sites and patient populations.
- A single-centre retrospective evaluation is unlikely to be enough at this level.
Submission strategy
Lead with prospective or multi-site evidence and the effect on the primary-care referral pathway. Report against TRIPOD+AI or CONSORT-AI, and state the intended use and failure modes plainly.
Leading topics on record: Artificial Intelligence in Healthcare and Education; Machine Learning in Healthcare; Digital Mental Health Interventions
- Reach · match 79
- Metrics Score
- 3.6
- Quartile
- Q1
- Submission → acceptance
- 66 days median
- Cost
- $4,170 indicative APC
Why it fits
A flagship clinical ophthalmology audience that manages diabetic eye disease, with retinal disease among its leading topics, so the clinical relevance needs little explanation.
Risks
- The contribution has to change clinical practice, not only report model accuracy.
- Readers will compare the reference standard with specialist grading protocols.
Submission strategy
Frame the paper around the screening outcome: referable disease detected, false referrals avoided and ungradable image rates, with the model as the means rather than the subject.
Leading topics on record: Glaucoma and retinal disorders; Retinal Diseases and Treatments; Ophthalmology and Visual Impairment Studies
- Match · match 81
- Metrics Score
- 3.9
- Quartile
- Q1
- Submission → acceptance
- 152 days median
- Cost
- No APC on record
Why it fits
A broad clinical ophthalmology journal with retinal disease and glaucoma among its leading topics, and a readership used to screening programme and health-service studies.
Risks
- The median submission-to-acceptance interval is longer than the reach options, so plan the timeline accordingly.
Submission strategy
Emphasise programme-level evidence such as uptake, grading workload and cost per case detected, and keep the technical model description in the supplement.
Leading topics on record: Glaucoma and retinal disorders; Retinal Diseases and Treatments; Intraocular Surgery and Lenses
- Match · match 83
- Metrics Score
- 3.0
- Quartile
- Q1
- Submission → acceptance
- 133 days median
- Cost
- $2,500 indicative APC
Why it fits
An open access ophthalmology journal whose leading topics include retinal imaging and analysis, which is the closest topical match for an imaging model on this shortlist.
Risks
- An article processing charge applies, so confirm funding or waiver eligibility before submitting.
Submission strategy
Give the full technical account here: architecture, training data provenance, calibration and subgroup performance, with code and model availability stated.
Leading topics on record: Retinal Diseases and Treatments; Ophthalmology and Visual Impairment Studies; Retinal Imaging and Analysis
- Safety · match 72
- Metrics Score
- 1.9
- Quartile
- Q2
- Submission → acceptance
- Not enough public data
- Cost
- $2,690 indicative APC
Why it fits
An open access general ophthalmology journal that considers sound clinical and diagnostic accuracy studies without requiring a practice-changing claim.
Risks
- Lower visibility than the options above, which matters if the goal is to influence screening policy.
Submission strategy
A good fallback if the validation is single-site. Report with STARD, be explicit about the limits of generalisability, and avoid overstating clinical readiness.
Leading topics on record: Ophthalmology and Visual Impairment Studies; Glaucoma and retinal disorders; Retinal Diseases and Treatments
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Journal recommendations are informational and do not predict acceptance. Always confirm the current aims, scope, article types and charges on the journal's own site.