Personal healthcare experiences often spark pioneering cures, and Pinaki Dasgupta, CEO of Hindsait, is no exception. After two immediate family members weathered serious health issues, Dasgupta brought his digital expertise in manufacturing to the healthcare industry. His cloud-based startup is designed to help insurance companies and healthcare organizations reduce costs while boosting patient health by replacing manual reporting, preauthorization, and audits with AI-based automation. Pinaki Dasgupta, CEO of startup Hindsait, is convinced that using AI to augment people will revolutionize healthcare decision-making through evidence-based care. At last official count, healthcare spending in the U.S. alone totaled almost 18 percent of the country's gross national product (GDP), an astounding amount.

A new report has proposed AI and Machine learning as a potential cure to the "Ransomware pandemic" making its way through the healthcare sector. The Institute of Critical Infrastructure Technology (ICIT) recently released a report called "How to Crush the Health Sector's Ransomware Pandemic". James Scott, senior fellow at ICIT and the author of the paper offers a plain solution to the worrying rash of cyber-attack on hospitals and healthcare providers that have held patient safety to ransom. He notes the proliferation of not only dynamic and adaptive malware, but the sheer number of adversaries that can find their way around defences no matter how resilient or well-resourced. But against this gloomy landscape, says Scott in a defiantly optimistic tone, what if healthcare organisations could use machine learning to overcome these threats?