AI in Healthcare: 6 latest trends You Must Know


AI in Healthcare: 6 latest trends You Must Know 

Healthcare is one of several areas that artificial intelligence is altering. With the aid of AI, anything from employee facial recognition to detecting the most difficult ailments is simple. AI is having an impact on all facets of healthcare and has numerous applications in the industry, which is constantly expanding. All throughout the world, homes, offices, and hospital settings now incorporate AI and robotics that help, diagnose, and treat humans.  

Precedence Research projects that by 2030, the market for artificial intelligence in healthcare will be worth around $187.95 billion. And over the next ten years, how we use AI and robotics to complement and improve present healthcare services will determine our capacity to provide more responsive healthcare with better health outcomes, while also empowering people to take greater control over their daily healthcare requirements. 

Let us first understand what is Healthcare AI is 

The healthcare sector faces challenges handling patient data in addition to treating patients. There is a requirement to speed up internal processes because there are numerous defects that cause treatment delays. 

This is when AI becomes useful. By implementing this constantly evolving technology, healthcare professionals may better manage patient data, expedite processes, increase visibility, and make choices more quickly. Serving the patients becomes quite simple with all of these efforts, so that they can offer patients excellent care at the appropriate moment. Their reputation and branding are enhanced by this. 

The analysis and processing of patient data, insurance claims, and other medical data are improved through artificial intelligence (AI) and data engineering in the healthcare sector. AI in healthcare management has demonstrated its value in increasing productivity and uniting the key players in revenue cycle management teams. By coordinating the efforts of the customer success teams, marketing and sales teams, and front-end billing teams, healthcare management can now quickly enhance business procedures. 

Latest Trends for AI in Healthcare 

  1. RPA is here to stay 

For healthcare firms looking to maximise the benefits of their digital transformation journey, Robotic Process Automation remains the top option. According to surveys, around 80% of healthcare firms use RPA solutions as their main platform for automation. 

To work around various aspects of automated workflows, the majority of CIOs are attempting to focus on a single core platform. For the majority of firms, RPA has been the best option in this regard. The need for RPA in the healthcare sector has been primarily driven by no-code or low-code build environments, excellent scaling support, integration benefit, and enterprise-grade administration. 

RPA offers the best assistance for their continual expansion as more healthcare companies look forward to incorporating the many tools of AI in healthcare. These firms' automation strategies are mostly concerned with developing around this fundamental base. 

However, according to experts, before committing to a single-core platform, CIOs should consider all of their available resources and take into account the specific demands of each firm. The present automation processes in your organisation and the objectives you hope to accomplish will determine whether or not you wish to invest in a reliable RPA procedure. 

  1. Using no-code tools, democratise AI and make it easier to use 

According to Gartner, no-code or low-code solutions will be used in 70% of new applications created by businesses by 2025, up from less than 25% in 2020. While no-code solutions, which don't involve any data science, will have the most influence on the enterprise and beyond, low-code solutions have the capacity to make programmers' jobs simpler. It's encouraging to observe a distinct movement in the application of AI from technical roles to the subject-matter experts themselves. 

Putting software in the hands of healthcare professionals in the same way that popular office applications, like Photoshop or Excel, would change AI for the better is significant. Since a medical professional—not a software professional—now controls the technology, it not only makes it more accessible, but it also permits more accurate and dependable findings. Although these changes won't happen overnight, the rise in the number of domain experts who utilise AI as their primary tool is a positive development. 

  1. Patient predictive care 

Predictive care is the one of the various trends that is most crucial for enhancing healthcare services. As the old but very relevant saying says, prevention is better than cure. For the majority of healthcare providers today, this means making an early diagnosis of a patient before a chronic ailment sets in. Negotiating this through conventional ways is difficult. 

According to statistics, chronic health problems account for the majority of fatalities worldwide. The patient's serious sickness and chronic illnesses can be identified and examined more quickly with the aid of artificial intelligence in healthcare. With such prompt steps, the risk of the patient developing chronic diseases can be greatly reduced. 

  1. Wearables using AI for proactive patient care 

When critically unwell, patients have a difficult time getting to hospitals. The cause is the absence of any signs of the body's developing medical issues. Patients with chronic ailments and disorders related to the heart in particular require rapid medical care and are unable to visit hospitals before their situation worsens. 

Patients can attend healthcare facilities well in advance with the aid of wearable AI-enabled devices. The devices attached to patients' hands can track changes in their health conditions, provide them with information about those changes, and warn them before things get worse. In some circumstances, the gadgets can also notify doctors or arrange a hospital visit. 

  1. AI aids in Mental Health 

Innovations and developments in artificial intelligence don't merely pertain to physical health. AI can also be used to identify diseases whose symptoms include a variety of mental symptoms brought on by chemical changes in our brains. Demension is one of these ailments. There are many distinct types of dementia, but Alzheimer's disease is one of the most prevalent types and is characterised by issues with reasoning, memory, and communication. These disorders exhibit a variety of mental symptoms and may progress unnoticed for decades. However, early detection of dementia is one of the best strategies to treat the condition or, in some situations, to treat the symptoms itself. 

Thanks to developments in deep learning and AI audio processing, it is now possible to analyse human voice to find early indications of dementia. In simple language, a speech-processing AI model can be trained to distinguish between healthy and dementia-related speech characteristics. These models can be used for self-checking or screening for Alzheimer's, and they can find the condition years before it becomes seriously evident. 

  1. AI for Robotic Surgery 

The medical robots from science fiction films might be soon becoming a reality. Already, robots assist surgeons in carrying out difficult operations like open-heart surgery. 

Robotic surgical suites driven by artificial intelligence allow surgeons more control, flexibility, and precision than they would otherwise have. Robotic operations thus result in fewer postoperative problems, less discomfort, and quicker recovery times. Even the next generation of doctors can now receive training from surgical robots. 

Ending Note 

Healthcare innovators are continually coming up with new applications for AI and enhancing current ones. Healthcare AI does, however, encounter several difficulties. Although AI has demonstrated its worth and potential, it is still unclear how quickly physicians and healthcare organizations will embrace the technology.  


Artificial intelligence (AI) is not going anywhere. It is necessary because to the rising tide of healthcare data, and healthcare practitioners who use AI solutions will be able to give considerably higher-quality care.