Spend on health-care averages to around 10 percent of global GDP. As with services with high-demand, there are huge opportunities to apply technology to innovate and streamline current processes.

Artificial intelligence (AI) in healthcare uses algorithms and software to approximate human cognition in the analysis of complex medical data. The primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes. AI programs have been developed and applied to practices such as diagnosis processes, treatment protocol development, drug development, personalized medicine and patient monitoring and care, among others. Medical institutions such as The Mayo Clinic, Memorial Sloan Kettering Cancer Center and National Health Service, multinational technology companies such as IBM and Google and startups such as Welltok and Ayasdi, have created solutions currently used in the industry. Healthcare remains the top area of investment in AI as measured by venture capital deal flow. Wikipedia

Gaia Chatbot for Mental Health Self-Assessment


Science Direct - Artificial Intelligence in Medicine

Annals of Internal Medicine

Artificial Intelligence has to and will redesign healthcare

GE Healthcare’s comprehensive portfolio of health analytics solutions help transform data into actionable insights

Tech startup Artelus is wielding the power of AI to transform healthcare in India Bengaluru startup Artelus offers advanced screening tools to enable burdened healthcare professionals to service the increasing patient load with accurate diagnosis and preventative care.