PinnedSusan Ruyu QiinHealth.AIGoogle DeepMind -Improving the interpretability of “Black Box” in medical imagingThe key barrier for AI in healthcare is the “Black Box” problem. For most AI systems, the model is hard to interpret and it is difficult to…Aug 23, 20188Aug 23, 20188
Susan Ruyu QiinHealth.AIGoogle’s AI can see through your eyes what doctors can’tCan you tell from this photo if the patient is male or female?Nov 26, 2018Nov 26, 2018
Susan Ruyu QiinHealth.AIAI in Medicine — Majority decision isn’t always rightFollowing their major publication in JAMA that marked a major breakthrough in both the AI and healthcare communities, Google made some fine…Jul 17, 2018Jul 17, 2018
Susan Ruyu QiinHealth.AIMachine Learning and OCT Images — the Future of Ophthalmology“Optical coherence tomography (OCT) has become the most commonly used imaging modality in ophthalmology, with 4.39 million, 4.93 million…Dec 8, 20172Dec 8, 20172
Susan Ruyu QiinHealth.AIDeep Learning in Ophthalmology —How Google Did ItOphthalmology is arguably the best “test bed” for AI techniques within the healthcare space. The sheer volume of high quality data due and…Sep 26, 20171Sep 26, 20171
Susan Ruyu QiinHealth.AIAI & Neural Network for Pediatric CataractResearchers from China have developed an artificial intelligence (AI) platform that can diagnose congenital cataracts as accurately as…Apr 25, 2017Apr 25, 2017
Susan Ruyu QiinHealth.AIDiagnosing Dry Eyes with Computer EyesAn application of AI & Infrared Thermal Images in OphthalmologyApr 15, 20171Apr 15, 20171
