Tuesday, August 16, 2022

Tech for Healthcare – How Artificial Intelligence is Aiding Service Delivery in Medicine

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Author(s): Sandeep Trivedi, https://orcid.org/0000-0002-1709-247X, Member IEEE

The idea of machines taking over our jobs is a concern that has been around for decades. But in the past few years, we’ve begun to shift from the fantasy of robots doing everything for us to a reality where we’re using computers to make our lives easier. Artificial Intelligence (AI) has proven essential in several industries, from manufacturing to healthcare. The possibilities are endless, and it’s time we started exploring just how the technology can transform our world.

Artificial intelligence is a branch of computer science that deals with computers being able to perform tasks typically associated with human intelligence. It includes the ability to learn, reason, plan, and solve problems. Artificial Intelligence is gaining momentum in all the major industries, and in medicine, it is paving the way for new discoveries.

In healthcare, it has provided a way for individuals who are struggling with their health to have better access to care or a more personalized type of care. In this article, we will see how it can help improve the current medical practice and prevent fatal mistakes. We will also see some use cases of AI in medicine.

Healthcare is becoming more efficient with AI

Artificial Intelligence has been making waves in the healthcare industry over the past few years, bringing a number of developments to medicine that are changing how we see and experience medical care. While healthcare has been and still is a very traditional profession, it is becoming increasingly more efficient through the use of artificial intelligence.

In terms of efficiency, AI can help hospitals save time and money by automating tasks that would otherwise eat up an employee’s day. For example, an AI system can read through thousands of articles about cancer treatment in order to find any relevant information regarding a specific case. This saves hours for doctors who would otherwise have to go through this research themselves, allowing them more time with patients or other important tasks within their practice.

AI is Enhancing Technology to Improve patient outcomes

The use of artificial intelligence has not only helped to improve the quality of patient outcomes, but it has also helped to reduce costs. As an example, Dr. Kang Zhang and his colleagues created an artificial intelligence system that can analyze eye scans and flag any conditions that may affect vision in an effort to help doctors diagnose diabetic retinopathy, a condition that can cause blindness in diabetes patients. The system serves as the first line of defence for signs of diabetic blindness.

“In some situations, physicians cannot consider all the possibilities,” Dr Zhang explained. “This system can spot-check and make sure the physician didn’t miss anything.” The team has improved on their earlier method for diagnosing medical conditions by creating a system that can identify patterns in text, not just images.

Artificial Intelligence is being used in other medical devices too. Pacemakers can now be programmed using Machine Learning algorithms that adjust their pace or rhythm as needed; hearing aids have been improved using many different types of machine learning algorithms; even stents themselves have been made more effective through the use of algorithmic modelling techniques such as deep learning neural networks (DNN).

Artificial Intelligence is Changing the Way Medication is Created

The AI revolution is also improving medication development. It can be used to model how drugs interact with the body and identify potential side effects before they are tested on humans. It can help identify the best dosage and delivery system or even suggest combinations of medications that could work together better than they would alone.

The use of AI in drug creation is an extension of its role in drug discovery. Companies have been using machines to screen potential drugs for years now, calculating their interactions with several chemicals per second. The information generated by this process helps researchers understand how a drug works and what kind of side effects it might have. Drug companies can then use this information to create safer medications for humans.

While computer simulations can’t yet predict all possible interactions, they’ve already become an integral part of the drug development process by identifying certain high-risk groups who need special consideration when taking a new medication. In 2021, researchers used machine learning techniques to analyze weighted features for toxic hepatitis after acetaminophen poisoning —acetaminophen common ingredient in over-the-counter pain relievers like Tylenol, which is often prescribed for headaches and other general aches and pains.

Prediction of preterm birth.

Preterm birth, which occurs before 37 weeks of pregnancy, is a leading cause of infant mortality and is associated with an increased risk of respiratory distress, cerebral palsy and developmental delay.

Preterm birth is often attributed to multiple factors including patient-specific characteristics such as age, ethnicity and socioeconomic status (SES), as well as pregnancy factors such as advanced maternal age at delivery or the presence of comorbidities during gestation such as obesity or diabetes mellitus type 2 (DM2).

Artificial intelligence can help predict preterm birth with high accuracy by analyzing data from millions of pregnancies stored in electronic medical records (EMR). This will allow doctors to intervene earlier and prevent the development of complications that would lead to preterm birth. It also reduces costs because less time is spent on unnecessary tests and procedures.

Automating and scrutinizing processes to reduce human error

Many tasks in healthcare require manual data entry or analysis. However, these tasks can be a major source of errors, as they are done by fallible human beings. Data-entry errors often lead to the wrong medicines being given to patients, while incorrect analytical conclusions are used to make decisions that can endanger patients’ lives. Every year hundreds of thousands of people die from preventable hospital errors. This means that a significant portion of the world’s population has been exposed to life-threatening risks due to human error.

However, Artificial Intelligence is helping hospitals prevent fatal mistakes by automating data analysis, data entry and several other manual tasks. This not only helps hospitals cut costs by simplifying their operations but also helps doctors treat patients more effectively and efficiently. With increased efficiency and accuracy, doctors will be able to spend more time attending to patients rather than waiting for lab results or inputting patient information into a database.

The technology can also help healthcare providers spot and stop deadly medical errors before they happen, which can ultimately save lives. The medical coding system uses natural language processing to analyze the medical records of patients who have been discharged from the hospital. If the AI detects that a patient has experienced a medical error, such as the wrong prescription or missed diagnosis, it will alert the hospital administrator so they can take necessary actions and prevent further harm to their patients.

An end to “one size fits all” medicine with personalized care

AI systems are able to make personalized recommendations based on individual patient data—something no human could do alone due to limited time and knowledge. During a doctor’s appointment, patients fill out forms with all kinds of information: where they live; whether or not there are allergies; previous injuries or surgeries; etc.

This data allows computers to analyze what they know about certain diseases while taking into account various lifestyle factors so they can create personalized health plans specifically tailored towards your needs instead of just general guidelines which may not be perfect for all patient body types.

Final thoughts

The healthcare sector is one of the fastest-growing, as well as one of the most lucrative, areas for artificial intelligence. While the technology is still developing, it has already been shown to be a valuable tool for healthcare practitioners. AI won’t replace human medical professionals in the near future, but it will help them make more informed decisions when diagnosing and treating diseases.

The rapid pace at which AI is advancing in medicine is truly remarkable. It’s not that long ago that some of us were writing off this technology as science fiction, but now we are looking forward to seeing what new discoveries will come from its use in healthcare.

Although it is still developing, it holds great potential to improve the diagnosis and treatment of many diseases. We can’t wait to see what new discoveries will be made in the exciting field of AI medicine.

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