AI is one of the disruptive modern technologies that has taken over almost every industry, including healthcare. Today, AI in healthcare is fundamentally transforming the delivery of healthcare services.
We saw the ultimate use of artificial intelligence during the COVID-19 pandemic. While everyone was dealing with this difficult time, the integration of AI in healthcare contributed to diagnosis, prediction, and treatment.
AI implementation has the potential to analyze clinical characteristics, epidemiological characteristics, etc., using the vast data of clinical cases. In addition to this, today we have AI-powered mobile applications that are also helpful to patients in either gathering information about diseases or connecting with their required doctors.
The rise of AI in healthcare is at a growing pace. If we look at the statistics, there are several interesting facts to know. Let’s have a glimpse of some statistics around it first before we discuss the topic: how the rise of AI in healthcare is empowering patients and transforming care.
AI in Healthcare: Statistics 2024
The global market value for AI in healthcare reached $22.4 billion between 2020 and 2023, a 233% rise.
As per Fortune Business Insight data, the market size is expected to rise from USD 27.69 billion in 2024 to USD 490.96 billion by 2032.
Approximately 80% of pathologists think that the use of artificial intelligence will help in boosting life expectancy.
Moreover, there is rapid growth in the adoption of AI-powered software solutions across the healthcare sector.
Now, let’s have an in-depth discussion on our major concern- how AI is transforming healthcare delivery and patient care.
How AI is Empowering Patients and Transforming Care
Well, the applications of artificial intelligence in the healthcare industry are many. There are several ways where this technology is playing a crucial; role in empowering patient care. Hence, let’s have a look into some of its roles:
1. AI in genomic medicine
When genotype analysis is incorporated with one or several types of AI such as machine learning, adaptive AI, and deep learning, among others, it becomes easy to predict and even prescribe custom medication.
By using big data such as tissues, AI systems can be used to track the threats posed by new diseases such as COVID-19. This is because the ML algorithms are capable of predicting simple phenotypes to complex ones such as disease resistance.
They stand out in recognizing genetic factors connected with certain characteristics or conditions. For instance, deep neural networks have recently been used to accurately predict autism spectrum disorder (ASD) from genomics data only.
Therefore, it can be applied in the formulation of treatments and therapies that are personalized according to the patient’s genetic structure.
As a result, AI solutions in healthcare might vary, for instance, analyze the patient’s genetic data to predict the likelihood of the development of certain diseases, including cancer or heart diseases.
In addition, AI assists healthcare providers in identifying the most appropriate medicine as well as the ideal doses for each patient. In short, it enables providing services that include the offering of individualized medicine.
2. AI assistance in treatment
The second cognitive and quite obvious function of AI in the framework of the healthcare industry is its function as an assistant to the treatment process. It has been seen that the integration of artificial intelligence in patient handling for different diseases can be made easier.
For instance, AI can also learn to interpret diagnostic imaging including X-rays, CT scans, and MR scans for purposes of diagnosing diseases. This can also translate to more appropriate and early identification of diseases hence providing better results to the patients.
Additionally, in oncology, it can distinguish various cancers in molecular subtypes, which the diagnosis, prognosis, and treatment can, therefore, be enhanced. Logistic regression and traditional algorithms such as Support vector machines, and k nearest neighbors tend to be very erroneous and overlook critical biological features.
Hence, AI systems are quite effective in observing patients’ states and signs, which may be useful for doctors to predict some dangerous changes. This can help prevent complications and ensure that patients receive timely interventions.
3. Predictive Analysis
AI can enhance the healthcare industry by enhancing the predictive model’s performance. Using big data, they can easily seek out patterns and enhance the probable outcomes as well.
By having an AI app development company by your side, you can develop applications to perform predictive analysis.
This can help in giving the right kind of interventions to the patients in need as well as minimizing costs to the health sector. However, the strengths of information and human intervention act as the key to the success of Predictive Analytics in Public Health.
There are several machine learning algorithms in operation today and lots of healthcare providers are using them to come up with predictive models. ML models can help identify patients who are at risk of chronic diseases or hospital readmission.
4. Drug information and consultation encompassed the largest share of AI applications.
AI applied with technology such as NLP, ML, and data analytics, can give practitioners timely and accurate information. This leads to the improvement of the decision-making power of the healthcare providers. In some instances, it even yields the right of the healthcare providers to seek the opinion of the patients in the management of any disease.
McKinsey noted that it is expected that AI will make a positive value to healthcare system within the United States of America. AI can help in decision-making, discovery of data, and clinical trials and research.
Today, AI-powered software solutions are fast in accessing drug information, making evidence-based decisions, and responding to numerous simple inquiries through IVRs.
Get assistance from the best healthcare app development company to develop AI-driven Chatbot applications. This kind of chatbot solution decreases the burden of the healthcare providers to be available to answer 24/7 and provides customized suggestions to the patients.
5. AI in Virtual Assistance
Virtual health assistants are transforming healthcare. These AI-powered tools can help patients with tasks like identifying symptoms, providing medical advice, scheduling appointments, and monitoring vital signs.
The best part AI-powered virtual assistants are always available and can help triage patients. The National Health Service (NHS) has successfully tested a similar app in north London. Intelligent speakers can also benefit elderly and chronically ill patients who may have difficulty using smartphone apps.
Overall, virtual health assistants have the potential to significantly improve the quality, efficiency, and cost of healthcare delivery.
The Closing Note
The use of AI in the development of healthcare apps is transforming the experience of patients. Thus, relying on a reliable mobile app development company in India that has worked on AI-based projects prior becomes essential.
AI focuses on patients and is changing how care is delivered. Whether it is about patient-specific approaches to healthcare management, the integration of AI is useful for both patients and healthcare service providers. The use of AI-powered software solutions
- allowing doctors to keep track of patients’ conditions from a distance
- offering virtual consultations in which information is shared
- increasing the efficacy of healthcare management
Therefore, with the future advancements in AI technology, there will be other great innovations that will help to improve the care of patients as well as enhance their health status.
