Medicine and healthcare is a revolutionary and promising industry for implementing the data science solutions. Data analytics is moving the medical science to a whole new level, from computerizing medical records to drug discovery and genetic disease exploration. And this is just the beginning. Heal
In the broad sweep of AI’s current worldly ambitions, machine learning healthcare applications seem to top the list for funding and press in the last three years. Since early 2013, IBM’s Watson has been used in the medical field, and after winning an astounding series of games against with worl
It’s safe to say there are too many manual processes in medicine. While in training, Dr. Ed Corbett hand wrote lab values, diagnoses, and other chart notes on paper. Dr. Ed Corbett always knew this was an area in which technology could help improve his workflow and hoped it would also improve pat
Machine learning is the key to enabling Artificial Intelligence and the future of healthcare is data-driven. Big data and machine learning have a tremendous potential in the healthcare field. All these technologies are not only improving treatment and diagnosis options, they also have the potential
Many of today’s headlines are talking about how machine learning and artificial intelligence are transforming industry. The healthcare sector is one of the major industries affected by this trend, in large part because organizations are recognizing the need for improved data processing and analysi
As entrepreneurs, it’s our job to evolve and adapt to a changing market. Artificial Intelligence (AI) and machine learning initiatives are creating new opportunities for innovators to offload labor-intensive research and analysis to the cloud.
We’ve reached a significant point in time where the interest in Artificial Intelligence (AI), machine learning and deep learning have gained huge amounts of traction – why? We are moving into an era where science fiction is now becoming fact and reality.
Crucial time and tremendous amounts of resources are lost every day in the world’s healthcare systems. Misdiagnoses cost unnecessary additional tests, result in delayed treatment plans and diminished survival or remission rates from what would have transpired had it been caught and identified corr