Early and accurate diagnosis is much cheaper for the health system and of course, much more effective for the patient. It may cost x20 to treat a well-developed complaint compared to when first visible. A key challenge is ‘differential diagnosis’ where similar symptoms may indicate different conditi

In much of Healthcare, data is present but stranded, unloved and unused. It does not carry the burden of knowledge and decision-making it often does elsewhere. In some clinical scenarios it is more akin to a waste by product, generated by devices or stored in notes and then abandoned. It is not syst

With the advent of technologies which are actively contributing in saving lives across the globe, times are changing fast. Electronic Health Records adoption has led to 0.67 fewer deaths per 100 admissions per year in comparison with non-adopting hospitals, based on Medscape’s study on EHR adoption

Healthcare is India’s great challenge and mobile apps powered by artificial intelligence (AI) may be its best answer. For India’s rural population, accessing healthcare is a long and expensive journey which often begins all too late. Although Apollo Hospitals, India’s largest hospital chain, has rec

Inclusivity and investment as a strategy; women of color (WOC) in startups; and entrepreneurs of various backgrounds could eradicate the historical problems in medicine. Adopting the same approaches that were historically adopted to solve problems in medicine will give you the same results. Studies

Diversity is not just important for reasons of equality; it is essential to counteract potential biases in data and in human judgments. It’s well established that clinicians can be influenced by subconscious bias. Often these biases are so deep-set that we are blind to them [1]. Biases in health dat

Research has shown that, within industry, diverse teams yield better results than homogeneous ones [1,2]. This is particularly true within creative or enterprising endeavors [3,4], which is characteristic of both research and entrepreneurship in the AI Med field. A well-rounded team representing mul

An estimated 450 million people will receive an ultrasound, X-ray, CT or MRI exam in 2018. One in five of these patients will be misdiagnosed. Roughly one in four will have their diagnosis missed entirely. This represents billions in preventable costs and millions in preventable deaths. The advance