By: Syed Raiyan Ali – syedraiyanali@gmail.com, Department of computer science and Engineering( Data Science ), Student of computer science and Engineering( Data Science ), Madanapalle Institute Of Technology and Science, 517325, Angallu , Andhra Pradesh.
ABSTRACT –
As the Health Care systems all around the world are grappling with escalating costs, limited access, and the increase demand for personalized care assistance, Artificial Intelligence is emerging as a transformation force. This article Transforming Health care with AI : Current Applications and Future Trends, provides a comprehensive examination of impacts of AI on Health Care. We have many applications of AI in Health Care like advance diagnostics, personalize treatment plans, AI powered wearable by observing them all we can reshape the patient care system, improve the operational efficiency and many life saving solutions. It also explore the future tends, including the AI powered robotic surgery, remote monitoring, while addressing ethical considerations, regulations and societal implications of AI adoption. Through a balance analysis of AI capabilities and its limitations, this article shows the potential of AI in health care and its future trajectory.
KEYWORDS – Health Care, Artificial Intelligence, Transformation, Application, Future Trends
INTRODUCTION:
As the global healthcare faces significant chalanges such as the increasing cost of healt care assistance, limited acces care, and the very demanding personalize treatment, AI offers very inovative and life saving solutions that could transform these obstacles into opportunities[1].
These actions ultimately result in an overall improvement in healthcare service quality and functioning.The article explores existing uses of artificial intelligence in the medical field by providing authentic illustrations about its usages for enhancing patient outcomes as well as improving operational efficiencies within the industry[2]. An example would be effective diagnostic tools that identify diseases at a level never seen before while just as importantly there are AI-enabled wearable gadgets designed specifically to monitor patients’ health status throughout the day, every day, and these are two areas where huge strides have been made with regard to AI research in recent years.
Additionally, we will examine the moral implications and legal structures that need to be maneuvered to make responsible use of AI innovations. [3]. In so doing, this article investigates how artificial intelligence can be used within healthcare settings as an opportunity for determining ways to fully exploit its powers for those who engage in research, practice medicine or build tools aimed at improving people’s lives.
CURRENT APPLICATIONS OF AI IN HEALTHCARE:
MEDICAL IMAGING AND DIAGNOSTICS:
[3]The use of AI in medical imaging and diagnosis has greatly improved its accuracy and effectiveness. Machine learning algorithms design sophisticated analytical approaches that efficiently scrutinize complicated medical images like MRIs or CT scans looking for peculiarities with an astonishing amount of accuracy. Google’s DeepMind, for instance, has succeeded in creating artificial intelligence models that can detect eye diseases as well as breast cancer with an accuracy comparable to an expert radiologist (Vaughan). Furthermore, these AI tools not only play a significant role in helping identify early signs of diseases but also help reduce the burden on health practitioners resulting into faster and more precise diagnoses.
PREDICTIVE ANALYTICS AND RISK ASSESSMENT:
The advent of predictive analytics has revolutionized the methodology utilized by health care professionals towards disease pandemics due to its predictive capabilities as well as its assessment of patient risk factors[4]. Using past patient data in their predictive analytical models like projecting hospital re-admittance rates or estimating disease progression, they can formulate better educated decisions regarding expected future events. Subsequently, hospitals take on such knowledge with an aim to avert issues and enhance treatment for patients. For instance, AI-generated predictive algorithms can identify individuals who have a high likelihood of getting chronic conditions before they start presenting signs thereby allowing timely and suitable intervention and improving patients’ health care systems.
PERSONALIZED MEDICINE:
Personalized medicine has made leaps and bounds that involve AI technology which takes into account every patient’s genetic endings, ways of living including environmental factors that have an impact on their health[5]. Huge lots of DNA can be scanned by such computer programs to come up with optimal medicine for unique individuals. In particular, oncologists augment positive outcomes for their patients through individualizing therapies through use AI rendering it as advantageous in oncology. Additionally, Artificial Intelligence (AI) enables us to understand complex relations within biology thereby devising more focused and effective cure plans.
DRUG DISCOVERY AND DEVELOPMENT:
The time it takes and the money involved in the procedures of drug discovery and development cannot be overemphasized plus mentioned.[6] Identifying potential drug candidates or estimating their probable effectiveness is helping by AIs that have sifted through large volumes of data thus streamlining these processes. For example, Atomwise and Insilico Medicine use such technologies for accelerating drug discovery targeting so that new medications can reach the market more quickly than would ever have been possible by human intuition from outside alone. Moreover, AI algorithms that are able to make predictions about clinical trials’ outcomes can play a role in better resource managements aimed at increasing the acuracy.
FUTURE TRENDS IN AI HEALTHCARE:
AI IN GENOMICS AND PRECISION MEDICINE
As genomic sequencing prices keep declining, AI has become more relevant in decoding genomic information. With its algorithms, AI may locate pathogenic genetic alterations and propose personalized remedies leading to successful treatment outcomes[7]. This precision medicine strategy is crucial for multifaceted disorders such as cancers and strange hereditary malformations because patient prognosis can be improved greatly if the medications are specific to them .
AI-DRIVEN ROBOTICS IN SURGERY:
In the medicinal domain, AI empowered apparatuses are going to transform everything, as they will facilitate concentration on what is happening during surgery for doctors. Furthermore, these high-tech robots provide instant feedback to physicians and minimize the risks involved with delicate treatments. Therefore, it is plausible that patients will take little time to recuperate from their ailments and have better health status; there will also be a shorter duration spent in hospitals. Surgery has always been considered dangerous; however, AI in surgical robots can simplify this process and ensure its safety.
MENTAL HEALTH AND WELL-BEING:
In the field of mental health, artificial intelligence is advancing rapidly by recognizing indications of disorders using the features like speech patterns, facial expressions and social media activities. AI tools can make easy for early precautions and personalized treatment options that will enhance management and care for individuals with mental health challenges. This is quite necessary because it provides scalable ways for addressing the ever-rising need for mental health services[8].
ETHICAL CONSIDERATIONS AND CHALLENGES:
When AI becomes common in healthcare many things related to ethics also follow. This entails privacy over a persons’ data, biases within algorithms as well as equitable access to healthcare services driven by AI among other concerning issues that require attention. For this reason it is very important to have and come up with all-embracing plans for governing AI use in healthcare and develop enough regulations governing its usage. Therefore, it is vital to address these challenges so that the AI technologies do not discriminate patients rather than promote any unequal treatment patterns in medical practices across different people or places.
The figure below shows the current and future Trends and applications of AI in Healthcare.
CONCLUSION:
Absolutely redefining, Artificial intelligence is transforming healthcare by providing innovative answers to some of its greatest challenges. For instance, current applications of AI have significantly impacted the diagnosis processes and the adaptation of treatments on patients’ individual needs, as well as improving hospitals’ effective operations, improving hospital operations, and transforming patient care entirely. In the near future, however, AI promises much more revolutionary things in genomics, robotic surgery, remote monitoring and even in mental health care.
Despite this, realising AI’s full possibilities in medicine has roadblocks ahead, the cause of which include; moral factors like data safety, system prejudices together with fair accessibility, hence placing the responsibility on data scientists. Therefore it becomes essential that the people who generate software aimed at helping them and their health professionals meet in an attempt to work hand-in-hand against IDC would repair these deficiencies (ASD 2018) canlıbahissiteleri. To fully comprehend the largeness of what we mean by bringing artificial tastes into health care, one would wonder why there are still jokes about doctors being more concerned about treating their patients’ bills first before they could look at them or listen to them (the root cause).
AI may revolutionize healthcare by improving patient experiences, increasing efficiency, and encouraging the kind of innovation that has historically been inaccessible. A human-centric approach to AI integration means that we avoid some of its challenges and instead move towards a future where humans are supported by advanced machines. This future would require ongoing ethical adherence, constant research into new discoveries, as well as careful execution of these strategies if we want to use AI in transforming healthcare completely.
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Cite As
Ali S. R. (2024) Transforming Health care with AI: Current Applications and Future Trends, Insights2Techinfo, pp.1