AI and deep learning to tackle traffic congestion

abhijit | 2nd September 2019

Introduction

Artificial intelligence is a rapidly emerging technology that has revolutionized the healthcare industry with its innovative aspects. AI enables physicians to diagnose illnesses with utmost accuracy. With the latest advancements in science and technology, researchers are exploring new ways to improve medical facilities using AI applications.

Computer-aided diagnosis (CAD), virtual assistants, and clinical decision support are some examples of how AI has transformed the healthcare sector. From hospital care to clinical research, drug development and insurance, AI applications are continuously revolutionizing the industry.

One of the major contributions of AI in the medical sector is the advent of smart decision-making techniques. It enables doctors and surgeons to take correct decisions by analyzing historical health reports of patients. They enable medical institutions to gain exceptional insights into diagnostics, care procedures, action unpredictability, and patient conclusions. Accenture predicts that the top AI applications may result in annual savings of $150 billion by 2026.

In this blog post, we will explore how AI is going to play a crucial role in transforming the healthcare industry with new technological innovations.

Advantages of Artificial Intelligence in Healthcare

Virtual Health Assistants (VHA)

As healthcare technology continues to advance, VHAs can proactively treat patients in a number of ways. For instance, VHAs enable dementia patients to stay on course with their medicines by providing expert suggestions. They enable doctors to actively interact with their patients and suggest medicine refills whenever needed. Various methodologies are being cultivated that encourage patients to be more health-conscious. Next IT, a leader in “virtual assistant technology,” developed a health care tool called Alme Health Coach. It provides healthcare professionals and their patients with an effective technique that adheres to medicines and overall compliance.

Correct Decisions

AI plays a vital role in improving the accuracy of clinical documentation and enabling radiologists to detect abnormal images. It is enabling clinicians to focus more on delivering effective patient care.

AI techniques find extensive applications in medical decision-making and other aspects of healthcare. Successful expert systems have been developed across various disciplines of medicine. During an emergency condition, AI neural networks can be helpful to treat patients instantly by analyzing their history.

Reduce Human Mistakes

Medical errors caused by humans may prove detrimental if they go undetected. Sometimes, it’s difficult to understand the magnitude of the problem. Doctors can understand many cases, which can be very exhausting as they need to study the medical history of a patient. AI as an inspector can support doctors in reducing human failure and remove tedious and time-consuming tasks.

Studies have revealed that AI and ML algorithms can enable doctors to outperform their counterparts on the diagnosis of certain illnesses. Also, it can predict certain medical conditions such as mortality or length of stay of patients.

AI-based Visual Tools

AI has the potential to detect and rectify even a single anomaly occurred due to the failure of a human eye. An AI-powered visual recognition software can use the same technique used by the specialists to diagnose diseases 5% more accurately. The tool can scan numerous clinical images and compare them to provide an accurate and quick diagnosis. Researchers believe that the accuracy gap between human and digital eye is expected to increase with further advances in AI technology.

Advancement in treatments

AI is driving progress in healthcare operations, such as explaining data to provide helpful treatment methods and monitoring them. It can immediately recognize the symptoms of various diseases, allowing quick diagnosis which reduces the patient’s wait time. A startup in San Francisco is using AI to explore how machines learn by observing doctors. Instead of analyzing the data generated by doctors, the machine can follow their procedures step-by-step. Their AI records enable doctors to formulate effective treatments for their speedy recovery.

Concluding Thoughts

AI has the potential to eliminate diagnostic challenges to avoid premature deaths in hospitals and clinics. Medical care is expected to improve with AI breaking into the field. It has the opportunity to have a large and accurate impact on doctors and patients in the healthcare sector. Since AI can aggregate and examine a large amount of different data, it can facilitate a quick and accurate diagnosis. Costs involved in healthcare may drop substantially due to advanced and more reliable diagnosis.

Diagnosis of rare diseases or detection of chronic diseases at an early stage is already possible. That is the scale of advancement expected in healthcare with AI.

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abhijit


1 Comments To “AI and deep learning to tackle traffic congestion”

    good content


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