Brigham and Women’s Hospital’s Mahmood Lab conducted a study showing how artificial intelligence (AI) can anticipate and identify potential cancer outcomes.
According to the study, AI is able to accomplish this by using a variety of factors, including gene pathology and patient history.
AI and healthcare
A number of novel artificial intelligence (AI) technologies have been developed and researchers have been looking into determining how these can be used for advancing healthcare.
A group from Brigham and Women’s Hospital’s Mahmood Lab recently discovered that an AI model can be used to stay ahead of cancer activity.
This is because the AI model in question uses data relating to patient history, gene sequencing and pathology for this purpose.
Dr. Faisal Mahmood who is an assistant professor at Brigham’s Division of Computational Pathology, worked with a research team to create and implement AI models.
During this process, they made use of different types of diagnostic information and gave priority to accuracy.
The Cancer Genome Atlas (TCGA) also assisted the research team in the development of the AI model, as the former shared information on various types of cancer.
This was then utilized for the development of a deep learning-based algorithm.
Once the model was applied, researchers were able to determine that it could predict outcomes better than the models that use only single sources of information.
A member of the Cancer program, Mahmood said that different pieces of evidence are used by experts for predicting a patient’s performance.
He said that these evaluations are used for deciding if the patient should be enrolled in a clinical trial or for determining specific treatment regimens.
However, he said that only experts can use these multimodal predictions and this is the issue they are trying to resolve.
Researchers also stated that accurate outcomes can be predicted when certain data is used within artificial intelligence (AI).
But, accuracy can only be ensured when large databases are used for approval purposes.
Mahmood said that their work paves the way for bigger healthcare and AI studies, which make use of data obtained from various sources.
A number of studies have previously been conducted that have highlighted methods to be used for implementing artificial intelligence (AI) when it comes to predictive analysis.
An AI system was developed in April 2022 by researchers from John Hopkins University, which analyzed patient data for prediction of cardiac arrests.
Demographic information and heart images were used for making this prediction. In March 2022, a research team of Mayo Clinic had also developed an artificial intelligence (AI) algorithm.
This particular algorithm was capable of identifying clogged arteries through voice biomarkers, which was helpful in diagnosing heart conditions.
These studies highlight the fact that the use of artificial intelligence (AI) is increasing in the world of healthcare and it can come in handy for service providers.
It can be used for delivering better and more accurate patient outcomes than any other technology.