Impact of AI in Healthcare: 5 Compelling Real-World Examples Unveiling the Latest Advances

In matters of life and death, the prospect of leveraging artificial intelligence (AI) to enhance healthcare outcomes holds tremendous allure. While certain obstacles, such as data privacy concerns and anxieties surrounding machine errors and limited human supervision, must be addressed to fully embrace AI-driven healthcare, the field shows immense promise. Governments, technology companies, and healthcare providers are committed to investing in and exploring AI-powered tools and solutions. Below are five notable AI advancements in healthcare that exhibit significant potential.

1.       AI-RAS (AI-aided Robotic Assisted Surgery)

With a projected worth of $40 billion to the healthcare industry, robotic systems have the ability to analyze pre-operative medical records and provide guidance to surgeons during procedures, leading to a remarkable 21% reduction in patients’ hospital stays. This form of surgery, known as robot-assisted surgery, is hailed as minimally invasive, sparing patients from the need to recover from extensive incisions. Through the utilization of artificial intelligence, robots can leverage data from previous operations to enhance and refine surgical techniques, yielding promising outcomes. A comprehensive study involving 379 orthopedic patients revealed that AI-assisted robotic procedures resulted in a fivefold reduction in complications compared to surgeries performed solely by human surgeons. Notably, robots have been employed for the first time in eye surgery, while the state-of-the-art Da Vinci surgical robot empowers doctors to carry out intricate procedures with superior precision and control in comparison to conventional methods. Additionally, heart surgeons receive invaluable support from Heart lander, a miniature robot that enters a small incision on the chest to conduct mapping and therapy on the heart’s surface.

2.      VirtuCare Nurse assistants

VirtuCare Nurse assistants roles deals with the interactions and guiding individuals towards optimal care options, Virtual Care Nurses have the potential to save the healthcare industry a staggering $20 billion each year. With round-the-clock availability, these virtual nursing assistants can offer prompt responses, monitor patients, and address inquiries. The current applications of virtual nursing assistants facilitate frequent communication between patients and healthcare providers, bridging the gap between office visits and helping to prevent hospital readmissions or avoidable hospital trips. Notably, Care Angel’s VirtualCare Nurses go even further by conducting wellness checks utilizing voice and AI technologies, ensuring comprehensive care and support for individuals.

3.        Diagnostic AI Aid

Undoubtedly, the use of AI in aiding clinical judgment and diagnosis is still in its early stages, but there have been remarkable advancements and promising use cases. In a study conducted at Stanford University, an AI algorithm was tested against dermatologists to detect skin cancers, and it performed on par with human experts. Similarly, a Danish AI software company developed a deep-learning program that analyzed emergency calls in real-time, surpassing human dispatchers in detecting cardiac arrests with an impressive 93% success rate compared to 73% for humans. Baidu Research also reported promising results in identifying breast cancer metastasis, showcasing the potential for AI algorithms to outperform human capabilities.

4.       Task Stream AI

“Task Stream” and “AI” to represent the integration of workflow and administrative task management with artificial intelligence. It is anticipated that this development could lead to a significant cost reduction of $18 billion within the healthcare sector, as machines have the potential to assist doctors, nurses, and other healthcare professionals in saving time on various tasks. Advanced technologies like voice-to-text transcriptions can streamline processes such as ordering tests, prescribing medications, and documenting chart notes. An illustrative case of utilizing artificial intelligence (AI) to support administrative duties involves the collaboration between the Cleveland Clinic and IBM. They have joined forces to leverage IBM’s Watson technology, enabling the mining of extensive datasets and empowering physicians to deliver a personalized and highly efficient treatment experience.

5.        ImageSenseAI

The term “ImageSense” suggests the ability of AI to gain insights and extract valuable information from various types of medical images, such as X-rays, MRIs, or CT scans. AI-driven image analysis has the capacity to support remote areas with limited access to healthcare providers. It can also enhance the effectiveness of telemedicine, allowing patients to utilize their camera phones to capture and send images of rashes, cuts, or bruises. This enables healthcare professionals to remotely evaluate the images and determine the necessary care, making healthcare more accessible and efficient.

Conclusion

In the intricate realm of healthcare, AI tools have the potential to bolster human providers by expediting service delivery, facilitating diagnosis, and analyzing data to detect patterns or genetic indicators associated with specific diseases. In situations where mere minutes can be the difference between life and death, the transformative impact of AI and machine learning extends beyond healthcare itself and touches the lives of each and every patient.