In a world that is increasingly been driven by data and analytics, companies that can capture, analyse and derive new insights are the ones that have the best opportunities to create and leverage new and existing business models. Insurance companies, which are literally “data mines” can use techniques like Deep Learning (DL) to harness the large volume of data and build consumer insights and patterns that may miss the human eye. DL methods and algorithms can help insurers today to offer a wider portfolio of products to stay relevant, deliver more personalised experience, automate underwriting and create new revenue models.
Artificial Intelligence has the potential to improve medical diagnosis and outcomes by 30-40%. Thus, AI can be a key driving factor in medical imaging diagnosis processes and enhancing care delivery. Mobiliya’s Anomaly Detection from image processing is a solution targeted to increase accuracy of regular scanning techniques like Computed Tomography (CT), Magnetic Resonance Imaging (MRI) or Electrocardiography (ECG) scans. The solution is designed to detect anomalies in ECG signals to ensure that ECG scans are completely accurate.
Classification from EEG Recordings
Mobiliya has developed an AI based solution to classify Electroencephalography (EEG) recordings to predict motor activity based on EEG inputs. This is especially critical in diagnosing life-threatening diseases like cancer, neurological disorders like Parkinsons or a Stroke and Cardiac Failure.