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How AI helps doctor in diagnosis revolutionizes the medical field

how-ai-helps-doctor-in-diagnosis-revolutionizes-the-medical-field
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How AI helps doctor in diagnosis revolutionizes the medical field


How AI helps doctor in diagnosis revolutionizes the medical field

How AI helps doctors in diagnosing for patient’s disease has greatly influenced positive for the healthcare industry. Business owners across various industries has leveraged AI to improve their products and services with the medical field gaining the most benefits from adopting it. Here’s a look at how AI is integrated into hospital operations and the advantages it brings for them.


How doctor uses AI to provide better diagnosis

To begin with, it is essential to have an understanding about how doctor identify the patient’s illness through which criteria. Doctor must ask the patient about the symptoms they are experiencing and their treatment history. Next, they may order for diagnostic tests such as blood test, imaging study, or biopsy for further evaluation.  

The process varies as some diseases need more tests to make use to identify the symptoms. Physician can give an evaluation about the illness after obtaining enough information and narrowing the possibilities.

They are unable to verify the accuracy of their diagnosis, though, and some of them result in the victim's demise. For a variety of reasons, some people describe their symptoms in unclear terms or keep them hidden. Furthermore, the illnesses may present with similar symptoms, making a diagnosis difficult.

The advancement of AI has led to the creation of several tools that benefit society, and doctors are no different. They can be confident in their choice to diagnose the sickness with its help.

·      AI improves the efficiency and accuracy of doctor’s judgement

AI helps doctors concentrate on symptoms that are easily overlooked because of its capacity to learn from vast amounts of data. They are able to diagnose patients with more accuracy and provide better care as a result.

As an example for its application, a group of researchers from US, France, Germany taught AI system to distinguish skin lesion. A CNN model was trained on 100,000 images to distinguish dangerous skin lesions from benign ones. It was tested against 58 dermatologists from 17 countries by classifying photos between malignant melanomas and benign moles. The result shown that they accurately detected 86.6% of skin cancers from images compare to 95% for the CNN.

It can swiftly provide suggestions regarding the types of symptoms, thus enhancing the efficiency of doctors in diagnosing more patients within a shorter timeframe.

·      Recognize symptoms at an early stage to enable timely intervention and treatment.

AI-driven recognition systems are capable of identifying preliminary indicators of diseases by analyzing a variety of data sources such as patient records, test outcomes, and monitoring equipment. They consistently track symptom progression and provide early warnings of potential complications, preventing further exacerbation.

There are many cases which healthcare provider has found out cancer in early stage thanks to AI. For instance, researcher developed AI tool to detect 15 years early signs of Parkinson’s disease in patient’s blood.

·      Provide individualized medication and treatment recommendations.

The model stores patient data from generic information, medical history, lifestyle factor, treatment response. By accessing information recording in hospital database, the model can recommend treatment personalize for each patient.

Moreover, it can propose the appropriate type of medication for each patient by considering their personalized diagnostic data and treatment history.

 

The potential of AI use in the healthcare industry

Nowadays, technological progress has significantly enhanced the efficiency of AI in delivering healthcare to millions of people worldwide. Hospitals are now adopting AI to facilitate a range of procedures, from diagnostic to administrative functions. This not only improves the patient experience but also helps in reducing the costs associated with traditionally expensive treatments.

·      Improving the efficiency of hospital process

Before receiving a check-up, sick people must go through a lengthy process, typically last more than hour. One of the primary cause is that hospital receptionists deal with long line of people while lacking man resource.

Hospitals are now utilizing AI to gather data from patients and direct it to the appropriate department for further evaluation. This approach serves to not only supply doctors with vital information but also to enhance the overall efficiency of the healthcare process.

·      Monitoring health conditions on a daily basis

With the growing popularity of fitness and health trackers, individuals are using apps to monitor their health. In order for doctor to better understand their patients' conditions, health providers are integrating artificial intelligence (AI) into their apps.

For instance, a medical tracking app would monitor a user's heartbeat and notify them and their doctor when the heartbeat exceeds safe limits.

·      Efficiency in healthcare administration

AI-powered system can automate repetitive administrative tasks such as appointment scheduling, billing, and documentation. This helps staffs to focus on complex tasks while reducing error in data entry.

The system also analyzes medical billing data to detect for error, fraudulent claims and optimizes reimbursement processes. It also accelerates revenue cycle management, reduces revenue leakage, and improves financial performance for healthcare organizations.


The difficulty in developing AI for diagnosis

Although AI has made significant contributions to various aspects of human life, creating AI systems for diagnosing illnesses presents a formidable challenge. A team of professionals with years of experience and necessary resources can cost millions to build.

In addition, medical data to train for machine learning model are hard to get for its heavy regulation. the medical data are normally unstructured, diverse and vast, not suitable for training model unless processing it first.

Integration AI solution into existing healthcare systems is often complex due to varying data standards and legacy systems. The integration is only finished when it follows the standards made by healthcare professional.

It will require a significant investment of time and resources to develop AI for diagnosis. It can be risky because creating something new costs a lot of money and does not guarantee success. Small business owners cannot take the chance of investing in a product that could cause uncertainty and give large corporations a monopoly on AI.

Although small business owners cannot afford for it by themself, they can rely on outsourcing services such as Dicom Interactive.


About Dicom Interactive

Dicom Interactive is one of the top boutique software development with offices located in Ho Chi Minh City – Vietnam and Melbourne – Australia, with over 15 years experience in the business.

We have been working on a variety of projects across the continents, with focus on education, transportation, entertainment, game, healthcare, insurance, food & beverage, automobile, and travel industry. We can help you achieve your online marketing objectives such as improving web rankings, traffic, and conversions… You can check for our Services and Portfolio here

If you need help with any of these aspects, you can contact us for a free consultation on defining your scope as well as the required workforce for your project.

 Dicom Interactive