Today, healthcare has risen above stethoscopes and scans to include smart systems that can think, learn, and assist. Case in point: Artificial intelligence (AI). For those in the dark still, AI in the medical field, by helping doctors detect diseases faster, customize care plans, and predict health risks, is revolutionizing how modern medicine works.
From AI-driven imaging tools to virtual health assistants, it is, in fact, turning data into life-saving decisions. This isn’t just innovation, it’s transformation! As hospitals and clinics embrace artificial intelligence in the medical field, it is imperative that we examine its diverse impacts comprehensively. Keep reading to get the same…
Before we delve into the life-altering influences of AI in the medical field, let’s learn how traditional healthcare systems are struggling to keep up with modern demands. Here are some of the main challenges faced by providers worldwide…
Several studies indicate that almost 10-15% of medical diagnoses conducted across the globe are incorrect. These result in unwarranted treatments, causing patients more harm than good. Diagnostic errors pose as the number one cause of preventable harm in hospitals.
Around 4.5 billion people world over lack access to basic healthcare. This lack is even more prevalent in rural areas where there’s a dire shortage of doctors and hospitals.
As per a study conducted by Annals of Internal Medicine, doctors are forced to spend around 2 hours on electronic health records (EHR) and other desk work for every hour they get to spend with their patients. This is why patients often get robbed of direct care, and providers, at the same time, deal with unnecessary administrative burnout.
As per WHO, medication errors, in the form of prescription errors or dosing errors, cause harm to over 1.3 million people every year and lead to one death daily in the US. Managing vaccines, likewise, is an onerous task, resulting in outbreaks of preventable diseases.
By the end of 2025, the amount of global healthcare data is likely to reach more than 175 zettabytes. With the sheer amount of data to sort through, doctors and nurses are bound to struggle when identifying what is truly important.
There is a global shortage of healthcare workers. To make things worse, as per WHO estimates, this shortage would reach its peak, with a dearth of whopping 11 million healthcare workers by 2030.
Not only would it overburden the existing staff, leading to errors, but it would also add on to the accessibility issue. The less the number of providers, the more the number of those without basic care.
With so many challenges to come to terms with, technology had to naturally step in. Below listed are some of the most impactful ways in which artificial intelligence is transforming the medical field in 2025…
AI algorithms are surpassing human clinicians when it comes to diagnosing issues. Google’s AI model, for instance, has significantly lowered the number of wrong diagnoses and boosted detection rates in medical imaging.
In a recent study by Nature, Google’s AI detected breast cancer in mammograms more successfully and with greater accuracy than human doctors. This helped diagnose cancer earlier and save several lives.
Likewise, IBM’s Watson for Oncology has proven to be an accurate resource for cancer care. Recently, at a hospital in Bengaluru, India, Watson’s recommendations aligned with those of expert oncologists in 93% of breast cancer cases and 96% of colon cancer cases, helping improve both doctors’ decisions and patients’ results.
AI personalizes medicine by monitoring large volumes of patient information, including genetics, daily habits, and data from wearable devices. Using which, doctors are able to come up with individualized care plans that meet the needs of their patients in the best way possible, lessening side effects and improving outcomes.
With help from AI decision-making tools, for instance, doctors can instantly view current research and treatment guidelines, which helps them make more accurate decisions regarding their patients’ health.
With help from AI implants and wearables, doctors can check on their patients’ health at any given time, even when they are not physically with them. It is especially useful in taking care of people with chronic diseases such as heart failure and diabetes. For AI systems can help predict when a flare-up might occur and propose interventions before these patients become extremely sick.
For example, owing to an AI-based remote monitoring system, people at Mayo Clinic managed to decrease patient readmissions by 40%, boosting positive outcomes.
AI in healthcare automates administrative tasks like scheduling, billing, and documentation. Owing to the same, more and more healthcare organizations across the globe are implementing AI tools to automate patient scheduling and waitlist management.
AI is helping pharmacy services as well, with most of them making use of pharmacy software to handle their medications. The same goes for laboratory management software. Since it can analyze lab results more quickly and accurately, it is being largely relied upon to speed up diagnosis.
Electronic data capture (EDC) systems also make use of AI to organize and study data from clinical trials, which makes research faster and more reliable.
AI-driven telemedicine software is helping people living in rural areas get medical aid from a distance. That is to say, patients are no longer required to be physically present in a clinic to avail treatment; doctors are diagnosing and treating them online by means of telecom technology.
Additionally, with AI chatbots and virtual assistants entering the picture, practitioners are able to divert their attention from answering queries and handling triage cases to focus on more challenging tasks. If predictions are to be relied upon, by the end of 2025, AI will be used by 90% of hospitals for early diagnosis and remote patient monitoring.
AI-powered vaccine management software is capable of tracking people’s immunization data and reveal gaps therein, so outbreaks can be prevented. We have all already witnessed its groundbreaking role in vaccine creation and distribution during COVID-19, haven’t we?
Prescription assistance tools, likewise, excel in reviewing the safety of drugs, so patients receive the correct treatment timely manner. These tools, if put to action thus, can restrict a lot of preventable harm from taking place, enhancing the condition of the healthcare world over.
AI is bringing about a massive change in radiology by helping radiologists identify urgent cases and abnormalities faster. DeepMind by Google, for instance, can diagnose over 50 eye diseases from retinal scans, helping doctors discover issues early on and give patients better care.
Despite its many benefits, AI in medical field faces significant challenges. Some of them are listed below for your understanding…
When it comes to determining the future of AI in medical field, things, fortunately for some and unfortunately for others, look good so far. Here’s what experts predict for the coming years…
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Conclusion
The application of AI in healthcare is expanding, and how! As technology continues to evolve, AI in the medical field is sure to play an even greater role in establishing a more efficient and accessible healthcare system.
The extent would be so that by the end of 2025 (and beyond), AI would not just be a tool, it would be a partner in care, helping doctors make better decisions and patients get the care they need. So, what are you waiting for? Make the switch now and let Techjockey be your guide!
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