Follow Us











Startup Sectors

Women in tech







Art & Culture

Travel & Leisure

Curtain Raiser

Wine and Food


This is a user generated content for MyStory, a YourStory initiative to enable its community to contribute and have their voices heard. The views and writings here reflect that of the author and not of YourStory.

How AI Can Help To Change Traditional Medical Diagnosis Systems

How AI Can Help To Change Traditional Medical Diagnosis Systems

Tuesday August 13, 2019,

6 min Read

Artificial Intelligence is in demand as per the recent investigation the state of AI has created an enormous stride over the past decade and many firms targeted it on its measuring system. It's been attention-grabbing to understand however AI has re-risen up after a long stretch of neglecting to fulfill needs. Power-assisted by the energy of cloud computing and massive knowledge, AI is creating associate degree insurrection faster than we'd ever envision. we tend to see it where these days from Google Photos to Amazon's Alexa to the self-driving capability of a Tesla. 

AI is also now stretching its way of getting implemented towards the medical industry. Artificial intelligence (AI) is finding various applications across the various spectrum of tending and is geared up to remodel the manner we tend to diagnose and treat sickness. 

Now just let us see that what is AI 

What is AI? 

Artificial intelligence means that it uses the specific sets algorithms to coach computers for finishing specific tasks by processing oversize quantity information and by recognizing specific patterns within the data. These algorithms create it doable for the machined to find out from expertise, work out the computer file Associate in Nursing method it and perform tasks in a virtually human-like manner. It so allows the machines to mimic the psychological feature functions typical to the human mind like problem-solving, reasoning and learning. 

Applications of AI 

AI is the simulation of human intelligence processes by machines these processes embody learning, reasoning, and self-correction a number of the applications of AI embody professional systems, speech recognition, and machine vision. 

AI has already entered our day to day lives in such a way that we tend to don't even notice it from chat bots on eCommerce websites to voice assistants on our smartphones, AI consultants are rapidly creating machines learn what humans do and enabling them to try to those tasks a lot of effectively within the Medical industry too, AI tools have found varied applications across the various stages. 

AI In Medical Diagnosis 

As we have seen applications of AI so now we will see how AI will be helpful for the Medical diagnosis system the AI helps the medical practitioners by providing the healthcare professionals an insight into the day to day patterns and needs of the people they care for. This enables them to provide better guidance, feedback, and support to their patients. The data generated and collected is not computable by humans in isolation. The use of AI algorithms by custom software development companies to make sense of the vast data not only saves precarious human time and efforts but also makes the process more efficient. Software development companies can create dashboards that can present the data visually that can save a ton of time from manual data-crunching. 

Benefits Of Using AI In Medical Diagnosis 

1) Early Detection of Diseases 

There is a number of consumer wearable combined with the computation power of AI which enabled doctors to better monitor the patient and detect the potentially life-threatening episodes at an earlier, more treatable stage. Here are some applications of the same that are currently being used in the healthcare space. 

Detection of Cardiac conditions: Fitness and other health wearable devices can be used to detect not just the heart rate but also monitor the patient's ECG. This is instrumental in the detection and earlier diagnosis of underlying cardiac conditions. 

Detection of breast cancer: AI is getting used presently to analyze mammography. it's been discovered that the associate analysis rate is thirty times quicker than that of an individual's and has an accuracy of ninety nine %. This not solely reduces the probabilities of possible misdiagnosis, it conjointly reduces the necessity to perform invasive biopsies to succeed in the diagnosing. 

Infection trend prediction: Sepsis is one in every one of the leading causes of hospital deaths within the USA and therefore the identification doesn't sometimes happen till the event of organ failure.

Application of AI within the detection of infection will go a protracted means in decreasing the patient death rate. Work is presently afoot to develop a PC formula that analyzes the patient vital organ and metabolic levels from the patient's EHRs to notice if they need a chance of obtaining an infection. 

Disease prevalence trends: The patient's square measure more and more looking forward to searching engines like Google to envision their symptoms on-line before paying a visit to the doctor. the utilization of AI to observe this search and draw conclusions from it will result in early intervention in attainable sickness eruption within the population. Google had tried to try to do this with Google respiratory disorder trends back in 2008 however failing thanks to an absence of efficient knowledge and various inconsistencies. With progress in computing and AI within the last decade, this will communicate be a giant plus within the early detection of infectious diseases and preventing their outbreaks. 

2) Efficient Diagnosis 

AI helps the doctors to provide an efficient medical diagnosis in which they use both structured and unstructured data for obtaining its results. The structured information includes genomic studies, pictures (radio diagnostic and pathological), readings and recordings type medical devices, etc. This information is then clustered using machine learning techniques to infer designation and attainable illness outcomes. 

The unstructured information may be within the kind of the physician's notes, patient medical records within the kind of EHRs, research laboratory reports, discharge summaries, etc. AI makes use of the language process for extracting the relevant info from the sets of unstructured information so as to help in clinical deciding, alerting treatment arrangements, watching adverse reactions, etc. The use of AI will facilitate in developing with the designation in a very simpler manner by victimization each structured and unstructured information at a way quicker rate. The most important advantage of AI for reaching a designation is that each one its choices area unit is exclusively evidence-based and freed from psychological feature bias which can lead to a person's designation. Let's take a glance at the applications of AI within the designation of diseases.