Intelligence is all about making use of available data and information and generating required results. If it is associated with the human being it is human intelligence, and if the same function is executed by a machine or through technology, it is a machine or artificial intelligence.
Can Artificial Intelligence Be Applied in Healthcare?
Artificial Intelligence in healthcare can be identified as a significant layer that assists healthcare professionals/radiologists in getting to the results. The healthcare process involves a series of approaches, some are repetitive and some require professional/expert knowledge. These can be understood as:
- Recording/Registering Patient Details (Repetitive/Administrative Task)
- Extracting Health Records/Patient Data (Repetitive/Administrative Task)
- Conducting Initial Patient Analysis based on his current health condition (Requires Expert Knowledge).
- Evaluating and Finding Relevance Between Medical History & Present Health Condition (Requires Expert Knowledge but can be automated).
- Conducting Relevant Tests (Machines & Equipment are used)
- Extracting and Evaluating Test Results (Administrative Task)
- Generating Test Results (Repetitive/Administrative Task)
- Drafting Care Plans & Assisting Patients (Requires Expert Knowledge).
A similar process or format is being followed in radiology. The healthcare professional accesses the need for conducting imaging scanning for the patient, performs the test and based on the test results assists them with relevant care plans.
Considering such a process, it can be reflected that modern-day artificial intelligence can effortlessly pick up repetitive and administrative tasks. But along with such its capabilities can be utilised in the process requiring expert assistance to enhance the care delivery process.
Let’s take a deeper dive into the process; integrating AI in radiology can ease the process of patient registration and maintaining their health records. Once a patient’s details and his/her current diagnosis have been entered into the system, the AI-based softwares can automate the process and evaluate the patient’s current and past health records. Based on such they can assist healthcare professionals.
There can be several ways in which Artificial Intelligence Radiology can assist healthcare professionals. Such assistance can ensure an improved care scenario as well as lead towards reduced pressure on the healthcare sector and enhanced patient care.
How AI in Radiology Is Helping To Make Informed Decisions?
Artificial Intelligence holds a promising future in the field of Radiology. It can assist care professionals in conducting repetitive tasks, as well as in making better care decisions. But how? Let’s understand.
- Once a radiologist has conducted a test or imaging diagnosis of a patient, they can simply connect their imaging machine with advanced software of Artificial Intelligence Radiology. Such software can analyse the provided data and can compare it with past records. Based on such a comparison they can provide you with real-time data based on which patient’s care plan can be developed.
- AI is not a platform that learns on its own, at the initial level it is required to be provided with the data sets and other significant information. Based on such available data and information, it can perform a set of analyses considering diverse situations. Such helps the software to better evaluate the current health condition and its severity.
- Hence, it can significantly be defined how vast the data source is, the AI software will be able to make much more complex calculations/evaluations and can help professionals make informed decisions. AI in Radiology can be defined as a virtual care professional with years of experience, and it offers results based on its years of experience.
- Radiologists can make use of Artificial intelligence to examine patient’s health risks in diverse scenarios. Such softwares can help professionals to test for their potential care approach and understand, how the proposed care would work on the patient, given all the present scenarios. Hence, the care professional can plan for the patient’s care needs accordingly.
- Focusing on the Radiology process, it can be identified that AI can also help beter resource utilization. With post-integrating AI solutions, the radiologist won’t be required to take multiple films/images to get to the result. The AI solution, can investigate or can locate the issue through systematic evaluation and can generate only the imaging film that is of interest to the radiologist or represents the issue.
AI In Radiology Embraces Human Presence in Loop
The healthcare system is not only about the identification of the health issue/threat faced by the patient, or providing care. But is more about trust. An individual will only consult a doctor or will follow his/her prescription if the patient trusts the doctor or his care delivery process.
Hence, AI in Radiology has been designed to assist or support the care professionals rather than to eliminate them from the care process. The future stands unclear, and we must not aim to predict the situation but should plan to make the best use of the available resources.
The Artificial Intelligence Radiology platform Scadia has been developed to offer more power and efficiency to radiologists. The state of art AI Infrastructure embraces the presence of doctors and professionals in the process. Utilising AI in the process can eliminate the risk of inaccuracies, focus more on automating unproductive or administrative tasks & prioritise urgent cases.
Wrapping Up
If we are to discuss AI in Radiology or Healthcare, it can turn out to be an endless discussion. In which you might agree on some of the points, or may find suspicious. So a better approach to consider is to interact directly with the experts. Connect with the AI experts at MlHealth 360 to learn more about the AI solution “Scadia” that we have curated to ease the life of Radiologists.
Scadia is an advanced AI platform that aims to revolutionize the workplace and provide radiologists with the required support to deliver effective care. Connect Today!
