List of real applications of artificial intelligence in medicine

Artificial intelligence is transmuting the system and methods of the healthcare industries. Artificial intelligence and healthcare have been found together for more than half a century. healthcare industries use natural language processes to classify certain data carals. natural language process is the process that allows a computer to understand spoken words and text just like humans. In the health sector, it gives effect to clinical decision support. natural language process uses algorithms that can mimic human responses to conversations and questions. This NLP, like a human, can take the form of a simulated mediator that uses algorithms to connect with members of the health plan.

Artificial intelligence can be used in clinical trials to accelerate research and validation of medical coding. This can help reduce the time to start, improve, and complete clinical training. Simply put, medical encryption is transmitting medical data about a patient in an alphanumeric code.

re is no doubt that AI has become a powerful technology. It’s getting more and more elegant at doing what humans do efficiently, like learning, reasoning, and applying logic.

With Artificial Intelligence, learning algorithms are increasingly precise and precise since they allow us to acquire knowledge about diagnoses, treatments and healthcare processes.

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Here is a list of some real-world applications of artificial intelligence in medicine that benefit both patients and physicians.

Atrial fibrillation

One of the first applications of AI in medicine is the early diagnosis of atrial fibrillation. re is a mobile app called “Kardia” that enables smartphone-based ECG monitoring and detection of atrial fibrillation. Outpatient remote ECG monitoring with Kardia is more likely to identify atrial fibrillation than routine care. Apple has also obtained FDA approval for its Apple Watch 4, which enables easy ECG acquisition and AF detection that can be shared with your doctor via smartphone.

Cardiovascular risk

According to electronic medical records, it is observed that AI has been used to predict the risk of cardiovascular disease. For example, severe coronary syndrome and heart failure.

Pulmonary medicine

development of AI applications in pulmonary medicine is on the rise. AI-based software provides a more detailed and accurate explanation and serves as a decision support tool in terms of clarifying the results of lung function tests.

Endocrinology

24-hour glucose monitoring allows patients with diabetes to view interstitial glucose readings in real time and provides information on the direction and rate of change in blood glucose levels. Medtronic has obtained FDA approval for its Guardian glucose monitoring system, which is paired with the smartphone. In 2018, the company partnered with Watson (AI developed by IBM) for its Sugar.IQ system to help its clients better prevent hypoglycemic episodes based on relentless measurements. Constant blood glucose monitoring can allow patients to optimize blood glucose control and reduce the stigma associated with hypoglycemic episodes.

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Nephrology

In clinical nephrology, AI has been applied in numerous settings. application of AI has been shown to be useful for the screening of reduced glomerular filtration rate in patients with polycystic kidney disease and to assess the risk of increased IgA nephropathy.

Gastroenterology

gastroenterology specialty benefits from a wide range of AI applications in the clinical setting. Gastroenterologists used convolutional neural networks among other deep learning carals to process endoscopy and ultrasound images and discover abnormal structures such as polyps in the colon. Artificial neural networks have also been used to determine gastroesophageal reflux disease and atrophic gastritis, as well as to project outcomes in gastrointestinal bleeding, esophageal cancer survival, inflammatory bowel disease, and metastases in colorectal cancer and squamous cell carcinoma of the esophagus. .

Apart from these, artificial intelligence also helps speed up the drug development process, virtual nursing assistants provide personalized treatment and improve gene editing.

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