Artificial Intelligence to Change Healthcare in 2024

By Srikanth
8 Min Read
Machine Learning in Health Care

The prime center stage for Artificial Intelligence in the field of health is going to be 2024. It is most likely to change the way care will be delivered and redefine patient outcomes globally. Be it clinical decision support or even personalized medicine, AI applications are rapidly advancing and getting integrated into the healthcare ecosystem.


Some of the key AI trends that will make a big difference in healthcare this year are:

Growth of AI-Powered Clinical Decision Support

AI algorithms will be used more extensively to help in diagnosing diseases, evaluate outcomes after various treatments, and for personalized care plans. Machine learning techniques and deep learning are bound to evolve with time that enables real-time monitoring of health conditions and proactive intervention.

For instance, IBM Watson, with its inscribed natural language processing, is able to read through all the electronic health records and treatment guidelines at a superhuman speed, giving appropriate recommendations within seconds. It is this kind of AI-powered clinical decision support that will undergird the clinician to stay current with exponentiating medical knowledge.

Transforming Medical Imaging and Diagnostics

AI is already revealing numerous exciting opportunities for quality and productivity enhancement in the fields of medical imaging and diagnostics. In 2024, we’ll consider more acceptance initiatives of AI solutions for X-ray, CT scan, MRI, and other picture analysis modalities to pick up abnormalities and identify early signs of diseases.

For instance, VinBrain’s DrAid™ Oncology Diagnosis and Treatment (D&T) product applies deep AI techniques to screen for liver and colorectal cancers—among the deadliest and most commonly diagnosed cancers in the world. By providing support for diagnostic work to radiologists and oncologists, such AI tools will be able to improve diagnosis accuracy and turn this enhanced insight into better treatment choices.

Rise of AI Copilots and Automation

It will, therefore, embrace more fervently AI technologies that augment and support workforce shortages expected to plague healthcare organizations through 2024. AI copilots can move data in summarization of patient information, task management, and real-time decision support, which relieves an overwhelmed clinical workflow.

Further, it will amalgamate AI-driven robotic process automation of administrative workflows for prior authorizations, eligibility checks, and processing of claims in a number of areas. Automation of repetitive tasks can provide healthcare workers with more time to tend to direct patient care.

Advancing Personalized and Precision Medicine

The ability of AI to study genomic data in a patient, among other biomarkers, will be the real possibility of opening ultra-personalized therapies to the biology of each individual. Precision medicine aided by AI is supposed to be able to give better outcomes for patients and optimize the use of healthcare resources in the course of 2024 by facilitating treatments targeted at the molecular level. 

Virtualizing Care with AI Assistants

On this front, 2024 will undoubtedly see a surge in the utilization of AI-driven chatbots and virtual assistants as a way to expand access to care and allow support delivery to patients around the clock. Such AI-based agents may help triage symptoms, convey health information, and guide patients to appropriate levels of care.

Companies like Babylon Health are already leveraging conversational AI to power virtual primary care visits. In the next year, such AI enabled telehealth solutions will further evolve and proliferate in closing gaps in care delivery. changes. Tapping into AI for Mental Health

2024 is going to be an exciting time for the application of Artificial Intelligence in supporting mental health and well-being. In this respect, AI-driven therapy apps will see higher adoption for on-demand emotional support through emphatic chatbots. Such tools can deliver interventions like cognitive behavioral therapy by monitoring users for signs of depression and anxiety.

It will harness AI’s capacity for facial expression, voice pattern, and language analysis in order to flag possible mental health concerns and connect people with the appropriate and timely support. With the global mental health crisis continuing unabated, AI will have an increasingly pivotal role in the future in increasing access to care and decreasing stigma.

Stretching the Boundaries of Possibility

The future of AI in healthcare will further evolve in ways which one cannot envision, such as an e-beam system, a technique for depositing thin films of material, combined with AI, that would probably bring forward advanced medical implant regions and drug delivery systems.

One day, digital twin technology may be advanced enough to simulate the human body in a virtual environment in order to test the effect of treatments and lifestyle on health. AI might one day help us map the intricacies of the human brain and come up with new therapies against neurological conditions.

That it is responsible and ethical

Fairness, transparency, and concern regarding the protection of personal data will become more prominent with the widespread diffusion of AI in healthcare. In 2024, there will be a trend towards developing responsible AI systems, free of biases and securing the trust of clinicians and patients equally.

Activities related to the creation of governance frameworks and industry standards around AI in health will begin to ramp up. Policymakers, health systems, and technology developers will make a solemn commitment to ensure that AI works ethically to serve the betterment of health for all.

Moving into the New Age

2024 will prove the inflection point for AI in healthcare as technologies mature and go deep within industry verticals. Starting from every ward of hospitals, research labs, and even patients’ homes, AI will be making a sea change in how we are doing prevention and managing our disease diagnosis and treatment.

For example, the e beam system, a technique used to deposit thin films of material, could potentially be combined with AI to develop advanced medical implants and drug delivery systems.

While challenges remain, the potential for AI to transform health and to improve myriad lives is enormous. Now is the time for all of us—clinicians, technologists, patients, and leaders—to be good stewards of the development of AI in health devices and to ensure it serves all people responsibly and equitably as we stand on the cusp of a new era. We can create a future-that’s healthier for everyone using the power of intelligent machines.

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