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Automated landmark localization can achieve nearly identical classification accuracy for skeletal malocclusion as traditional manual methods, streamlining craniofacial assessments.
Forget static predictions: OcularChat brings clinically meaningful dialogue and reasoning to AI-powered AMD diagnosis, outperforming existing models and impressing ophthalmologists.
CT-Bench reveals that even state-of-the-art multimodal models struggle with lesion understanding in CT scans, highlighting the need for specialized datasets and fine-tuning to bridge the gap between AI and radiologist performance.
