AI could Help Improve Early Detection of Interval Breast Cancers
A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between routine screenings - before they become more advanced and harder to treat.
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Building Trust in Artificial Intelligence for Healthcare: Lessons from Clinical Oncology
A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches to build confidence in AI applications.
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AI Tool Helps Predict Relapse of Pediatric Brain Cancer
Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers. AI-assisted interpretation of brain scans may help improve care for children with brain tumors called gliomas, which are typically treatable but vary in risk of recurrence.
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AI-Powered Analysis of Stent Healing
Each year, more than three million people worldwide are treated with stents to open blocked blood vessels caused by heart disease. However, monitoring the healing process after implantation remains a challenge. If the tissue growing over the stent develops irregularly - either becoming too thick or forming deposits - it can lead to complications, such as re-narrowing or occlusion of the blood vessel.
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Right Patient, Right Dose, Right Time
While artificial intelligence (AI) has shown promising potential, much of its use has remained theoretical or retrospective. Turning its potential into real-world healthcare outcomes, researchers at the Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine) have successfully utilised an AI platform to make precise recommendations for dose adjustments in 10 patients at the National University Cancer Institute, Singapore (NCIS) in Singapore.
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Detecting Lung Cancer 4 Months Earlier at the GP Using AI
GPs may soon be able to identify patients with an increased risk of lung cancer up to 4 months earlier than is currently the case. The GP should be able to simply identify patients during a consultation with an algorithm created by researchers at Amsterdam UMC based on the data of more than half a million patients.
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An AI Tool Grounded in Evidence-Based Medicine Outperformed Other AI Tools
A powerful clinical artificial intelligence tool developed by University at Buffalo biomedical informatics researchers has demonstrated remarkable accuracy on all three parts of the United States Medical Licensing Exam (Step exams), according to a paper published in JAMA Network Open.
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