The boom in the emergence of AI and other innovative technologies in the healthcare space comes with a new risk: the expense of human contact.

Researchers are looking into whether live and automated text messaging augmented by AI can help treat or ward off postpartum depression for women in Kenya.

A Harvard undergrad has created a computer program that can improve the treatment of tuberculosis, an infectious disease with unique challenges thanks to its shapeshifting ability to resist drugs.

Blockchain technology is already expected to have a major impact in the healthcare space, and the wearables sector could do with an injection of the technology, as well, writes Lucas Mearian for ComputerWorld.

A machine-learning algorithm has surpassed four commonly used methods for catching sepsis early in hospital patients, giving clinicians up to 48 hours to intervene before the condition has a chance to begin turning dangerous.  

Cardio-oncology has emerged as an area of rapid growth in the medical community in recent years, owing in large part to an increasing population of cancer survivors.

Healthcare technology moves at lightning speed, with AI and machine learning at the forefront of innovation. Right alongside these new discoveries is blockchain technology, which was popularized through the rise of cryptocurrency, and is seeing its own emergence in healthcare.

Supplementing standard physicals with Abbott’s high-sensitivity troponin-I blood test could boost the accuracy of CVD prediction in middle-aged patients, according to research published in Circulation April 29.