How Is AI Revolutionizing Healthcare in 2024

The application of artificial intelligence (AI) is at the center of the changes occurring in almost all industries, and the healthcare sector is as well not an exception.

By 2024, AI is already at the forefront of transforming the healthcare industry in numerous aspects – from technical diagnosis and treatment solutions to streamlining administrative processes and optimizing organizational processes.

Diagnose detection and disease forecast

Another area that has probably the most extensive use of AI in healthcare today is diagnostics and imaging. As we shall shortly see, current techniques in deep learning can perform with higher accuracy than the human eye in terms of detecting and diagnosing diseases from medical scans.

For instance, AI can provide a prognosis of a likelihood of a patient developing a brain tumor if they give MRI scans of the head. They can identify signs of the diabetic retinopathy from the retinal scans and identify symptoms of breast cancer from the mammograms.

According to a prediction, as early as 2024, most specialty units and hospitals will integrate intelligent software that can prescreen scans and help physicians make faster and accurate diagnoses. AI for example can also be useful in early diagnosis of chronic diseases as it evaluates data from the patient’s genes, lifestyle and medical profile.

Personalized Treatment Recommendations

The large amount of health information currently available along with the self-learning feature of these AI systems means that the system can prescribe the most suitable medication and therapy for each patient according to the patient data.

Smart treatment recommender systems use published literature, drug repositories, and patient records to guess which medications should be given in which dosages, what severe side effects are most likely to occur and what preventive measures may be needed.

For instance, the proposed approach can consider the patient’s genetic profile and disease features to determine the optimal chemotherapy regimen. It can also evaluate the results of lifestyle and symptoms associated with diabetes to guide patients on the best diets and exercise regimen.

Thus, by the year 2024, it can be expected that at least 80% of treatment plans will incorporate AI support in order to increase the chances of success.

In the case of the healthcare sector, one area that is specifically amenable to such automation of repetitive, routine tasks is information management.

Doctors and other healthcare workers presently have to dedicate some of their time on dealing with activities such as billing insurance firms, archiving patient details, and chronicling treatment plans.

AI is a technology that seeks to make many of these monotonous tasks to be accomplished to free doctors, nurses and other hospital workers so that they can fully indulge in offering quality health care services.

The intelligent chatbots will be dealing with patient questions, patient records, and insurance claims a decade hence in 2024, all the time and all without interference from humans.

That is, using voice recognition software to generate electronic health records while doctors are interacting with patients. It will make the best use of available discrete resources in a hospital including; arranging medicine stock and even optimum scheduling of operating rooms.

AI, therefore, when incorporated in automation, will make significant reductions to the cost and time implications.

Improving Outcomes: Identification, Assessment, and Management of Patient Conditions

Smart wearable sensors and home monitoring devices being part of the Internet of Medical Things (IoMT) are already capturing huge volumes of patient health information today. This will be very useful in the next few years, wherein machine learning algorithms using this kind of data will help out a lot in terms of constant caregiving.

Using sensors and wearables, the AI nurses will track vital signs, drug usage, mobility and notify human caregivers for interferences if necessary.

Smart wristbands will monitor the heartbeat, pressure, glucose levels and other critical health indicators of the chronically ill people, with the findings helping to avert crises before they are precipitated. Wearable devices will automatically monitor cancer patients’ biomarkers and send the data to indicate the progress of the tumor and whether there is a need to change treatment protocols.

AI will help the healthcare providers specifically to ensure that they support patients anytime and any place they may be.

Revolutionized Drug Discovery

It is one of the most time-consuming and costly procedures today to find and develop new pharmaceutical drugs, which might take up to 12 years on the average. Artificial intelligence such as deep learning neural networks can be used to forecast the effectiveness of billions of drug interactions.

This means that the most promising candidates can advance quickly to an animal and human phase, thus delivering potentially life saving drugs to the market years earlier.

Major biopharmaceutical companies will leverage next-generation AI to create drugs that target specific emerging pathogen gene patterns and molecular patient signatures by 2024.

Similarly, the expense of research is set to reduce drastically as computer simulations will indicate how effective it could be to develop targeted drugs as compared to the time-consuming traditional lab tests.

Alzheimer’s, cancer, immune disorders and common genetic disorders are major focus areas in AI drug production.


In light of recent developments in artificial intelligence, the future of healthcare by 2024 will surprise you. Intelligent algorithms will help detect diseases at an earlier stage, tailor treatment plans, consider patient’s condition without in-person contact, automate hospitals, and expedite the process of drug development.

However, there remain a number of important regulatory and ethical questions to be solved in relation to AI use in healthcare, the overwhelming majority of patients and providers will receive enhanced diagnostic and treatment, life quality.

AI support will help doctors provide the population with the necessary care at the highest level of qualification and, at the same time, make essential healthcare services available and affordable to many people.

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