Radiology plays a vital role in patient diagnosis. By way of thorough follow-up, it guides patients into the appropriate treatment plans. But a post-pandemic world poses a lot of challenges to radiology departments.
The steady increase in staff shortages and workloads have added to the struggles of radiologists. Moreover, they are finding it increasingly difficult to handle and analyze large volumes of data collected for the provision of quality care for each patient.
To lessen the volume of radiology data that further aggravate the trouble with staff deficiency and burnouts Philips AI has come forward with some solutions. Furthermore, these will allow radiologists to make use of AI in their clinical routine.
AI Gaining Trust
A recent survey involving around 3,000 healthcare specialists from 15 countries proved the growing trust in AI and predictive analysis. Besides, radiology specialists are the earliest ones to make use of advanced analytics technologies.
How AI can contribute
According to sources at Philips, there are many ways in which AI can contribute to healthcare. Al might help to increase the speed and efficiency of the scanner. Furthermore, it may be able to process the image faster with better turnaround times or even reconstruct an image causing less radiation to the patient.
AI can be further utilized for clinical uses like cancer screening or for diagnostic assistance. In addition, a comprehensive AI enabled solution can be integrated into existing IT and picture archiving and communication system (PACS) infrastructures to impart clinical diagnostic help directly into the radiology workflow at the point of care.
What’s more, use of AI can also reduce the burden of huge workloads as a result of staff shortages. AI may be used to automate steps, predict steps, find the right information and prefill reports. Lastly, such inputs can save time, money and stress while enhancing productivity.
Radiologists in the future can breathe easy, thanks to the advent of AI.
