There is a shortage of medical professionals worldwide, and experts predict it will not improve much in the coming years. The challenge is not just in the numbers, but also in the training, knowledge, and skills necessary for doctors, nurses, and other medical employees to do their jobs. In a bold move by doc.ai, the company addresses the issue of the lack of familiarity – generally it takes time for doctors to acquaint themselves with new medical technologies. The company created an artificial intelligence (AI) tech that uses natural language processing and is based on blockchain technology.
The bold idea behind the doc.ai system will allow the patient data to reflect a complete medical history.
The startup company doc.ai developed a bold idea which allows an AI agent to discuss medical conditions with patients directly without a real life doctor. The natural language processing platform will translate test results, history, and a database of symptoms and diseases into regular human language. The patient’s history will reside in a blockchain technology platform which will serve as a repository for all of the person’s tests, conditions, medications, and consultations. This would allow the data about the person to accumulate, which can then be accessed by different AI agents.
One example of how this can be used is when a test is done and a test analysis machine interprets them. This eliminates the need for the results to be interpreted elsewhere, as all the necessary information is already at hand for the test machine to create a diagnosis.
This concept of a decentralized AI will help to clear any bottlenecks and artificial instances of bureaucracy. The streamlined workflow will make the diagnosis and analysis procedures go faster.
Solving the Shortage of Doctors
Healthcare companies will see an improvement in patient care, and patients will experience a better and more knowledgeable diagnostics process. The bold idea behind the doc.ai system will allow the patient data to reflect a complete medical history. In addition, the AI portion would be able to pour through available literature for a much improved diagnosis. The ability to access test data would also be a big help in delivering a quick and accurate diagnosis. In turn, this will provide more personalized and intelligent healthcare, that other medical professionals can access for medical history and reference.
The use of blockchains would mean that the data is kept private with the patient. It does not reside in a hospital repository or clinic archive. In addition, this will also let patients get a second opinion through other professionals with an option to escalate if necessary.
The use of AI in medicine has long been anticipated, mainly due to the big amount of information available which no single person might have access to. With the use of an AI, this information can be accessed and retrieved at will. It is also expected to lessen any mistakes in diagnosis.
Recently, doc.ai had an initial sale of its Simple Agreements for Future Tokens (SAFT) to institutional and other accredited investors. A SAFT is convertible to a digital token called the NRN or “Neuron” at the launch of doc.ai. The number of NRN is proportional to the number of neurons in the human brain, which is 86 billion. One NRN is equivalent to 100 neurons, and there will be 860 million NRN to be released. About 37% of NRNs will be sold through the SAFT offering. The SAFT sale follows prescribed sales of securities and need to comply with applicable laws and regulations. The proceeds of the SAFT sales will go to the continuing development of doc.ai technology and platforms.