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Decoding the Future Trajectory of Healthcare with AI

Healthcare with AI, AI-powered healthcare, healthcare AI solutions, impact of artificial intelligence on healthcare, Wellbeing Monitoring Assistant

Artificial Intelligence (AI) is becoming more powerful and capable of mimicking human reasoning in a more contextual and relevant manner. It is already well known that AI-based tools and software applications have already made inroads into every sector including the IT industry and digital interfaces. While the huge impact of AI in driving automation and reducing human errors has proved to be highly effective for many industries, AI is slowly taking over all kinds of shortcomings where the human role proved to be insufficient.

In the healthcare sector, AI-powered intelligent systems and solutions are already paving the way for faster and more timely care and more data-driven decision-making. But the healthcare AI solutions are still at their budding stage and there are miles to go for these solutions to mature and prove themselves as irreplaceable components of modern healthcare. Looking at the future, we would like to assess the real trajectory of AI-powered intelligent healthcare in the years to come.

Where The Changes are Already Visible?

The impact of artificial intelligence on the healthcare ecosystem is shaped by two AI subset technologies, namely, machine studying (ML) and natural language processing (NLP). Wearable health gadgets and electronic medical records (EMR) have emerged as the two important facets of AI implementation in the healthcare sector.

Thanks to the precise data collected by connected healthcare devices and medical record systems, AI-powered healthcare decision-making has gotten a huge boost. This further promotes personalized healthcare for the patients based on individual patient information and data-driven insights on the patient cases. AI-powered solutions like IBM Watson are allowing medical staff to use cognitive experience for analyzing healthcare data.

On the other front, the DeepMind Wellbeing from Google is paving the way for greater data-centric collaboration with medical researchers, clinical staff, and medical experts for deeper analysis of healthcare data for the purpose of research and medical treatment.

Leading healthcare organizations around the world are trying to utilize AI power and expertise to solve an array of crucial medical issues and challenges that most facilities face. Most of the leading tech companies including Google, IBM, and Microsoft are already coming up with AI-based healthcare systems. Microsoft has already revealed its plan to come up with AI-based healthcare instruments to deal with the major challenges in the healthcare industry.

The Important AI Breakthroughs In The Healthcare Sector

As of now the importance of AI in the healthcare sector is limited to three major areas, namely, diagnostics, patient engagement, and digital healthcare services. The incorporation of AI healthcare assistants like Docus in such areas is coming with the following breakthrough benefits for the entire sector.

Robotic Healthcare

Robots for medical treatment and care remain to be the most catchy value proposition of AI. Robots are already being used in some surgeries where precision is more in demand. Robots are also being used to take care of medical inventory, sanitization of healthcare facilities, and provide timely assistance to medical staff. Intelligent AI-powered robots are emerging as helping hands of doctors and medical staff.

As the Coronavirus pandemic spread all over the country and created severe panic over the transmission of the disease from hospitals and clinics, robots are playing better roles in the sanitization of the facilities and preventing human contact to a great extent in many US and Chinese healthcare facilities.

Prevision-driven medical treatment

All over the world, leading healthcare facilities are working on precision drugs that can quickly provide remedies to diseases and healthcare challenges. But for precision-driven drugs, doctors and researchers need to analyze individual patient data and this is where AI plays a great role.

The medical information such as the real-time physical condition of the patient, medical knowledge on multiple aspects, and predictive insights based on relevant patient data, all of these help to create the right treatment plan and effective medicines.

Wellbeing Monitoring Assistant

One of the greatest outcomes of AI in the healthcare sector is the emergence of a virtual medical assistant, these go hand-in-hand with the growing trend of well-being monitoring assistants. This is a data-driven approach to provide assistance and guidance on health and well-being. Some firms with well-being expertise have now come up with their own  AI-powered well-being assistants to provide guidance on taking care of health problems as diagnosed from individual symptoms and other data-driven insights on the person’s health condition.

Precise and Detailed Medical Imaging

AI is now widely being utilized for medical imaging and delivers medical images with precise details. Thanks to these doctors and researchers getting more precise data on various health conditions is becoming easier than ever before.

In US healthcare facilities, AI is being utilized in medical operations and the precise imaging output of internal organs and conditions along with analysis are helping doctors and surgical staff to deal with the medical condition more appropriately.

The challenges for AI in the medical business

In spite of the era-defining benefits and the huge impact that AI already unleashed in the healthcare sector, utilizing the full potential of AI in the sector and making AI a trade component in the medical business will not be so easy. How AI-based value additions with modern healthcare devices and systems can bring a bigger impact is something we will continue to see in the months and years to come. It also shows how various medical equipment manufacturers actually can integrate AI for a more precise evaluation of patient conditions remains a key aspect of a medical business.

Getting over these challenges needs technical expertise and a changing mindset that can easily welcome AI-based medical facilities and processes in care facilities. Though the time has yet not come when intelligent robots can take care of various day-to-day medical tasks on a large scale, already in the field of medical equipment and home cars connected to medical gadgets made huge inroads.   

On top of everything, healthcare is an emerging sector where time plays a crucial role and hence any solution that cannot help speed up the process is going to be useless. This is exactly why AI-based medical care processes and facilities always stay ahead of others in terms of efficiency. AI in the healthcare sector can deliver very precise and data-driven predictive analysis that further can guide doctors and caregivers to take the right course of treatment for medical cases where fast-paced treatment is crucial.

As the situation stands now, healthcare facilities just cannot jump on the AI bandwagon overnight and declare their facilities as AI-ready. They need time to incorporate AI into their medical processes and gradually they can introduce AI-based tools and equipment that are capable of working side by side with the regular medical staff.


From all the big advantages and trends corresponding to AI in the healthcare sector we have discussed so far, we can easily see a bright way forward for the entire sector. AI in the healthcare sector has come with great value addition and over time it has outgrown its earlier capabilities. As the AI power in every sector explodes with new promises and capabilities, the future of healthcare is intertwined with this technology.

Olivia SmithAuthor Bio: Olivia Smith is the senior developer at CMARIX TechnoLabs Pvt. Ltd., a react native development company with years of experience. She loves to write on react native technical blogs and she believes in spreading tech trends. She is an avid reader and loves thinking out of the box to promote new technologies.


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