{"id":52695,"date":"2019-09-16T08:02:48","date_gmt":"2019-09-16T06:02:48","guid":{"rendered":"https:\/\/cms.munich-startup.net\/?p=52695"},"modified":"2020-10-07T14:11:09","modified_gmt":"2020-10-07T12:11:09","slug":"deepc-7-questions","status":"publish","type":"post","link":"https:\/\/cms.munich-startup.net\/en\/52695\/deepc-7-questions\/","title":{"rendered":"Deepc: Humans and AI as a team for better healthcare"},"content":{"rendered":"
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The Munich-based startup Deepc brings artificial intelligence (AI) and healthcare together. This enables the healthcare startup to automatically highlight abnormal findings in health data, thus supporting physicians. An interview.<\/strong><\/p>\n\n\n\n

1. Who are you and what do you do? <\/strong><\/p>\n\n\n\n

We are Franz Pfister (32, doctor, MBA, data scientist), Julia Moosbauer (25, data scientist), Paul Mayer (33, software engineer) and Michael Meyerhoff (56, long-time healthcare executive). Our Passion for Artificial Intelligence and Healthcare<\/a> and the conviction that we can sustainably improve healthcare with the help of AI brought us together as Deepc. <\/p>\n\n\n\n

We like to compare Deepc to a spelling aid that highlights anomalies (such as transposed letters or spelling errors) in hundreds of pages of text. We apply this principle to medical data: Deepc searches large volumes of health data for abnormal findings and reports them back to the doctor in real time. This supports physicians in making diagnoses.<\/p>\n\n\n\n

Detect rare diseases with the help of Deepc\u2019s AI and a good doctor<\/h2>\n\n\n\n

In our first use case, the technology is being applied to MRI and CT imaging data of the human brain. Here, we support radiologists with our AI software in their diagnostic work. Sounds exciting? It's getting even better: The initial development phase is complete, and the prototype is currently being tested at the Rechts der Isar Hospital.<\/p>\n\n\n\n

2.<\/strong> But that's been around for a long time!<\/strong><\/p>\n\n\n\n

No, absolutely not. Existing AI solutions are isolated solutions: They are limited to a few common diseases (e.g., multiple sclerosis, brain tumors, strokes). That would be as if your spelling aid could only detect comma errors! DeepC takes a generalist approach: The system can detect all diseases, especially very rare diseases (so-called orphan diseases). <\/p>\n\n\n\n

3.<\/strong> What are the three main ingredients for your recipe for success?<\/strong><\/p>\n\n\n\n