Artificial intelligence or AI is a fast-growing network in the world, constantly improvising and evolving according to the needs. AI attempts to mimic the capabilities of human intelligence.Cognitive learning theory in the classroom it can demonstrate higher cognitive processes like learning, reasoning, problem solving, planning and manipulation. AI has already slipped into our daily lives, in ways which we can’t avoid it.Cognitive learning theory in the classroom virtual assistants like amazon’s alexa and apple’s siri, your google suggestions are popular AI clouds.

One of the major fields AI is venturing into is the field of medicine, since in today’s world medicine also relies on large amounts of data.Cognitive learning theory in the classroom ranging from early and accurate diagnosis to compatible treatment, AI has managed to help us in every way possible. Although, it does raise questions on data security and privacy invasion, since medical records and data are highly sensitive.Cognitive learning theory in the classroom

Researches from all over the world are working towards the detection, treatment and prevention of this deadly disease. Scientists are developing AI that helps to diagnose a wide range of cancer like breast cancer, skin cancer and lung cancer.Cognitive learning theory in the classroom an algorithm is developed using “deep learning”, which enables the computer system to imitate the brain’s neural networks.

Scientists have been able to develop an AI that can detect breast cancer in women by screening the mammogram, decreasing the risk of wrong diagnosis and even predicting the cancer five years in advance.Cognitive learning theory in the classroom highly trained radiologists are required to read the scans to diagnose and detect, even then some patterns in the tissues are hard to catch by the naked eye.Cognitive learning theory in the classroom statistics have proved that AI is able to detect as accurately as any radiologist, sometimes even better diagnoses are provided by AI.

Researchers have developed an AI to identify depression in children.Cognitive learning theory in the classroom some of us might wonder, if little children suffer from depression? Well they do, and in their cases it is very hard to read the symptoms and catch the condition.Cognitive learning theory in the classroom the AI was able to identity speech patterns and detect depression with 80% accuracy. The speed and efficiency of the algorithm used impressed the researchers.Cognitive learning theory in the classroom

FNDA, a biotechnology firm in boston, developed an AI that can identify potential genetic disorders from scanning the photographs of people. Yaron gurovich and his team developed the neural network called deepgestalt.Cognitive learning theory in the classroom they have also launched an app face2gene powered by the algorithm, which is available on smartphones. The app is now working on the accuracy of identification of genetic syndromes in non-caucasian faces.Cognitive learning theory in the classroom

The system is as good as the data you provide it. Scientists develop sophisticated algorithms, in order to comprehend large amounts of data that provide insight into diagnostic patterns that are rather difficult for human beings to identify.Cognitive learning theory in the classroom it is through practice that AI learns to make precise diagnosis, figure out the associations, analyse the data and produce a favourable outcome.Cognitive learning theory in the classroom

Even though AI has the capacity to revolutionise the medical field, it faces certain obstacles. To name a few, data sharing and regulations. For an AI to develop and function at its best it needs training with as many data as possible.Cognitive learning theory in the classroom to execute the AI in real life, it has to meet safety standards and clear strict regulations. The first FDA-approved deep-learning clinical platform is the artery’s medical-imaging cloud AI, which helps to diagnose cardiac diseases.Cognitive learning theory in the classroom