Artificial intelligence (AI) in medicine combines computer science and robust/large datasets to enable solving issues that cannot be otherwise answer by physicians. The holistic approach that was prevalent at the end of the last century in most area of medicine, including prevention, diagnosis, and therapy, has been progressively challenged by the need of providing data to justify unbiased decisions in most areas of medicine. The development of large medical data set was initially limited by the reduced capability of computers to handle large set of variables for statistical calculation. As hardware and computational sciences have developed, it is now common medical practice to use real time software algorithms that estimate the most appropriate therapy for cancer patients. This approach is often based on machine learning processes using large library of data that physicians can use in their practice to compute individual medical and molecular information for their patients.
Similar requirements aiming justifying rating decisions based on reliable statistics rather than expert decision may be required in insurance medicine. As such, we initiated a program for data analysis using the SEER database for patients with cancer. The goal was to provide for everyone with history of cancer an accurate appraisal of the risk of death over 10 years based on the available medical parameters, then to derive from this evaluation a personalized rating supported by strong statistical analyses. Interestingly, individual risk estimation using this approach was often shown to be more inclusive, offering more insurance options for people with history of cancer.
Taking advantaged of working both at the hospital and in a reinsurance company, I will organize this presentation using breast cancer as an example to show how both areas can nowadays use AI to define individual patient risk and use this information to optimize therapy at the time of diagnosis and to select the most appropriate rating few years later at the time when patient survivors may want to resume normal life and get access to insurance protection for business or real estate projects.
Hotel Almere is located alongside the highway A6, near the cities Amsterdam, Utrecht and Hilversum.
Almere Parkwijk and Almere Centrum train stations are only a few minutes away by car from the hotel. From these stations you can travel to the hotel by bus or taxi. From both Almere Parkwijk and Almere Centrum Stations you can take bus M5 and get off at bus stop Walt Disneyplantsoen. From this stop it is about a 10-minute walk to Hotel Almere.
From the A27 towards Hilversum/Huizen, take exit 36 towards Almere Stad. At the end of the exit, turn left towards Almere Haven/Almere Stad (N305). Just before Almere you drive under the viaduct of the A6 motorway, still in the direction of Almere Stad. The road is now called Veluwedreef. At the 2nd traffic light, turn left onto the Veluwezoom. You will find Hotel Almere on your right.
From the A1 in the direction of Amersfoort, take the A6 in the direction of Almere. On the A6, take exit 5 (Almere Stad). At the end of the exit, turn left towards Almere Stad (S103 Veluwedreef). At the 2nd traffic light, turn left onto the Veluwezoom. You will find Hotel Almere on your right.
From the A6 towards Almere, take exit 5 (Almere Stad). At the end of the exit, turn left at the traffic light in the direction of Almere Stad (S103 Veluwedreef). At the 1st traffic light, turn left onto the Veluwezoom. You will find Hotel Almere on your right.