Artificial intelligence is unquestionably the game-changer in the healthcare business. It assists human physicians in decision making, and the responsibilities of physicians are evolving as well. According to Frost & Sullivan's research, the healthcare AI industry is expected to develop at a compound annual growth rate of 40% by 2021, potentially improving healthcare outcomes by 30%-40% and halving treatment costs.
According to Accenture's study, important AI applications in healthcare might result in yearly savings of $150 billion for the US healthcare industry by 2026. The experience of qualified physicians may now be fully supplemented by the inclusion of an artificial intelligence layer, which provides an additional layer for reducing mistakes in health care and in implications of data.
How is Artificial Intelligence Being Applied in Healthcare Today?
There are several areas in which AI is proving to be a game-changer for the healthcare business. The following are a few contemporary examples:
● Radiology: Artificial intelligence (AI) technologies are being developed to assist in the automated interpretation and diagnosis of images. These data science certificate online can assist radiologists in highlighting regions of interest on a scan, increasing efficiency, and reducing human error. Additionally, there is a chance for completely automated systems that read and interpret scans without human intervention might provide immediate interpretation in underserved geographic areas or after hours. Recent examples of enhanced tumor identification on MRIs and CTs demonstrate progress toward novel cancer prevention prospects. Meanwhile, a business in the United States of America has already acquired FDA permission for an AI-powered platform for cardiac MRI image analysis and interpretation.
● Drug Discovery: Artificial intelligence (AI) technologies are being developed to uncover new possible remedies from massive information databases on existing drugs that might be altered to address important dangers such as the Ebola virus. This might boost drug development's efficiency and success rate, expediting the process of bringing new medications to market in response to fatal disease threats.
● Patient Risk Identification: By analyzing massive volumes of historical patient data, AI technologies can assist physicians in identifying at-risk patients in real-time. A current focus is on readmission risks and identifying patients who are more likely to return to the hospital within 30 days following release. Numerous firms and health systems are now exploring solutions based on patient electronic health record data in response to payers' increasing resistance to covering hospitalization expenses associated with readmission. Additionally, new research has revealed the capacity to forecast a patient's risk of cardiovascular disease using only a still picture of the patient's retina.
● Primary Care/Triage: Several organizations are developing direct-to-patient solutions for triaging and advising patients via voice or chat contact. This enables rapid, scalable access to answers to fundamental queries and medical concerns. This might help reduce unnecessary visits to the GP, alleviating pressure on primary healthcare practitioners – and, for a subset of illnesses, give basic counsel that would otherwise be unavailable to populations living in distant or underserved locations. While the principle is sound, these treatments require extensive independent validation to demonstrate their safety and efficacy in patients.
How Will Artificial Intelligence Impact the Healthcare Workforce?
The MGI has researched how automation and artificial intelligence are expected to alter the future of employment. It finds that automation would touch the majority of employment across sectors, but to varying degrees, and healthcare is one of the areas with the least overall automation potential—only 35% of time spent is theoretically automatable, and this varies by occupation type. Automation potential is not synonymous with adoption possibility. For more knowledge, you can try out the best data science courses online.
The research considers a midpoint scenario in which 15% of current healthcare labor hours are predicted to be automated. Exhibit 2 illustrates the percentage of current hours spent that automation might free up in various healthcare jobs in selected European nations by 2030. This does not account for the possibility of greater disruption caused by other causes, such as personalization, which has the potential to transform healthcare by focusing exclusively on a "segment of one."
The Future of Artificial Intelligence in Healthcare
Regardless of privacy problems and other considerations, it is apparent that AI will play a large role in healthcare as the twenty-first century progresses. When combined with other developments such as telemedicine applications, augmented/virtual reality, or blockchain, this technology has the potential to revolutionize the medical profession for all types of businesses. Simultaneously, public-use apps utilizing scaled-down versions of this technology will become available. You can opt for analytics courses online to grow in the field.
Hybrid models will emerge to assist physicians during their practice's diagnosis phase, and they will assist in treatment planning and risk factor identification. As it should be, the ultimate responsibility for a patient's care will stay with humans. However, our automated assistants, aided by cutting-edge artificial intelligence, will be beneficial in saving and prolonging human lives. This is the near-term future of artificial intelligence in healthcare.
