The Inclusion of AI in Healthcare Sector

Table of Contents

• Meeting Alexa
• Embracing Automation
• Revolution in AI Healthcare
• Closing Thoughts
• References

Diseases are ever-evolving, and each year, we encounter new types that affect the body in unique ways. AI has come into the world to leave its impact and also strengthen its fields more and more everyday in healthcare too.

The world has recently recovered from the devastating COVID-19 pandemic, which claimed countless lives and highlighted the invaluable efforts of medical personnel. During this crucial period, AI proved its importance as physical interactions were replaced by virtual consultations – a necessity of the time. Without AI, the impact could have been far more severe.

If AI had not been invented at that time, we would undoubtedly have suffered much more than we have. Over time, AI has simplified processes such as scheduling appointments and managing medical setups, making them more accessible than ever before. 

Meeting Alexa

Alexa has made life easier for patients and healthcare workers. For instance, if a stroke patient feels the need to perform any kind of activity but is unable to do so, they can request Alexa to call their family members

Healthcare workers, who often have tight schedules and back-to-back appointments, can rely on Alexa to help them stay on track and manage their time effectively.

Embracing Automation

With AI, hospital management can now efficiently track and access patient data. They simply need to enter prompts, input the data, and the system assigns unique codes, enabling them to retrieve all the information with a single click. Technology has truly streamlined these processes.

Revolution in AI Healthcare

AI has helped revolutionize healthcare in several ways:

Diagnosis and Imaging

Pathologists can leverage AI to analyze tissue samples, improving the accuracy of disease diagnoses such as cancer and hepatitis. AI algorithms can also analyze medical images like X-rays, MRIs, and CT scans, identifying patterns and detecting anomalies, enabling early disease detection.

Personalized Treatment Plans

AI excels at analyzing patients’ progression and enables personalized treatment plans tailored to individual needs.

Chatbots for Patients Knowledge

AI chatbots can provide information about patients’ conditions, answer questions about illnesses, and promote better health literacy. They can also assist with post-discharge follow-up, monitoring patient progress, and addressing concerns.

Application in Genomic Medicine

AI helps analyze genomic datasets, identifying genomic markers of diseases and guiding personalized treatment plans based on an individual’s genetic makeup.

Robotics in Surgery

AI-powered robots are increasingly assisting surgeons in complex surgical procedures, enhancing precision and reducing the risk of errors.

Closing Thoughts

It is crucial to keep in mind that, while AI holds great potential, ethical considerations and regulatory compliance must be taken into account. These are important to ensuring responsible and practical implementation in healthcare.

The healthcare industry is undergoing a rapid transformation due to the great potential of artificial intelligence (AI) to improve patient care, diagnosis, and therapies. Large volumes of medical data can be analyzed by AI to find patterns and trends that are undetectable to the human eye. This makes it possible to provide more precise diagnoses, individualized treatment regimens, and even forecast future health hazards.

AI-driven technologies can help physicians in a number of ways, such as by identifying possible drug interactions and evaluating medical imaging. But it’s imperative to make sure AI is used in healthcare in an ethical and inclusive way. To guarantee that everyone may take advantage of this technology’s advantages, issues with data bias and privacy must be resolved.

References

Amazon Alexa. (n.d.). Alexa Smart Properties Healthcare. Retrieved February 13, 2024, from https://developer.amazon.com/en-US/alexa/alexasmartproperties/healthcare

Khan, M., Mehran, M. T., Haq, Z. U., Ullah, Z., Naqvi, S. R., Ihsan, M., & Abbass, H. (2021). Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review. Expert systems with applications, 185, 115695. https://doi.org/10.1016/j.eswa.2021.115695

UCLA Health. (n.d.). What is Robotic Surgery? – Robotic Surgery. Retrieved February 13, 2024, from https://www.uclahealth.org/medical-services/robotic-surgery/what-robotic-surgery

Uekert, R. (2024, March 7). European AI Act Approval: Efficient Game-Changer for EU Healthcare. The Inclusive AI. https://theinclusiveai.com/european-ai-act-game-changer-for-eu-healthcare/