https://www.selleckchem.com/products/gdc-0994.html
using self-supervision with an AUC of 0.7467 (95% CI, 0.7239-0.7695). At very low shots (n = 1, the traditional approach had performance close to chance, with an AUC of 0.5178 (95% CI, 0.4909-0.5447) compared with the best low-shot method (AUC, 0.5778 [95% CI, 0.5512-0.6044]). These findings suggest the potential benefits of using low-shot methods for AI retinal diagnostics when a limited number of annotated training retinal images are available (eg, with rare ophthalmic diseases or when addressing potential AI bias). These findings
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