Search Tag: machine learning algorithms
How-to-improve-diagnostic-ai-in-medicine
2021 08 Nov
The University of Johannesburg recently publicised a study published in Informatics in Medicine Unlocked examining how to improve machine learning (ML) algorithms for healthcare use. Algorithms can better identify healthy individuals since they are often trained on ‘unbalanced’ datasets containing more healthy than sick individuals. Since fewer data...Read more
Automated-triaging-of-mris-rules-out-cancer-in-dense-breasts
2021 08 Oct
Mammography provides early detection when breast cancer treatments are more successful. Unfortunately, mammography is less sensitive in women with dense than with fatty breast tissue. This is unfortunate because the breast cancer risk is three- to six times higher in dense rather than fatty breast tissue and two times higher than that of the average...Read more
Ensuring-safety-and-efficacy-in-adaptive-ais-for-radiology
2021 04 Oct
A recent article, published 30 September in the Journal of the American College of Radiology , explored post-regulatory pharmacovigilance issues associated with radiological practice AIs and strategies for choosing ideal solutions. AI algorithms in clinical use are increasing. The US FDA has cleared over 100 commercially available AI algorithms...Read more
Machine-learning-process-flags-actionable-reports-in-radiology-department
2021 23 Sep
An automated detection method can help clinicians identify overlooked actionable findings in radiology reports and avoid costly delays to patient care. Therefore, one University of Tokyo research team recently assessed four methods for flagging “actionable” results from free-text in reports from their radiology department. Their analysis compared...Read more
Timely-alerts-reduce-mortality
2020 13 Nov
An automated alert system that analyses electronic health records (EHR) can help identify high-risk in-hospital patients needing interventions by rapid response teams, resulting in decreased mortality, says a Kaiser Permanente-led study (Escobar et al. 2020). You might also like: AI Tool Helps to Reduce COVID-19 Mortality ...Read more
Applying-ml-to-study-indias-covid-19-policies
2020 24 Sep
The nudge theory is known to be useful in effecting behaviour change. Using the nudge of ‘nationalism’ in the fight against COVID 19, the government of India was able to motivate its large population to abide by lockdown rules and basic health protocols (e.g. wearing of face masks and frequent handwashing). You might also like: AI Tool...Read more
Ai-algorithms-lack-stability-in-medical-imaging
2020 13 May
Researchers have tested the performance of machine learning and artificial intelligence (AI) algorithms used in medical image recognition and found they were highly unstable and might have led to false negatives and false positives. You may also like : ICH Diagnosis: Could AI Step In Where Radiologists Fail? The team, led...Read more
Rsna-2019-quenching-the-thirst-for-ai-knowledge
2019 21 Nov
This year’s Scientific Assembly and Annual Meeting, the Radiological Society of North America (RSNA) will feature a newly expanded Artificial Intelligence (AI) Hub as the technology becomes increasingly embedded in imaging processes. You might also like: RSNA 2019: Speakers and Topics AI innovations from industry leaders, AI...Read more
Machine-learning-based-prediction-models-for-aki
2019 23 Aug
Acute Kidney Injury (AKI) is a common occurrence for critically ill patients in the ICU, and its early diagnosis has proven to be challenging. The accuracy of the online, machine-learning-based prediction model, AKIpredictor , was analysed for its use in a clinical setting. The study, which took place over five ICUs in Belgium, compared the predictions...Read more
The-promise-of-ai-in-radiology
2019 30 Jan
Needless to say, radiology plays a critical role in healthcare delivery. It is rare for a patient to pass through a hospital without requiring the opinion of a radiologist somewhere along their journey – be it in triaging patients in the ER , assessing the need for treatment, or evaluating the effectiveness of treatment. Equally important is...Read more
Improving-diagnosis-for-neurodevelopmental-disorders
2018 30 Jan
A new method that uses epigenetic signatures and machine learning algorithms provides a better way to diagnose neurodevelopmental disorders with much clinical overlap, according to a new study published in The American Journal of Human Genetics. The epigenetic signatures were developed through methylation array analysis by Greenwood Genetic Center...Read more
Radiologists-as-data-scientists-of-medicine
2017 11 Apr
Emerging technologies – such as machine learning and data analytics – will provide enormous opportunities for radiologists to augment and improve the quality of care they provide to their patients, according to a report to appear in Journal of the American College of Radiology. The report urges radiologists to maintain an active role in guiding the...Read more