Oncology

Artificial intelligence tools improve skin cancer diagnostic accuracy

April 18, 2024 - Artificial intelligence (AI)-driven tools can improve the skin cancer diagnostic accuracy of clinicians, nurse practitioners and medical students, according to a study published last week in npj Digital Medicine. The researchers underscored that AI-based skin cancer diagnostic tools are developing rapidly, and these tools are likely to be deployed...

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Clinical tool predicts adoptive therapy response in eye cancer patients

by Shania Kennedy

Researchers from the University of Pittsburgh Medical Center (UPMC) have developed a predictive model to forecast metastatic uveal melanoma patients’ response to adoptive therapy, according to a...

Deep learning tool may reduce false-positives in screening mammography

by Shania Kennedy

Researchers have developed a deep learning tool capable of reducing false positives without missing true cases of breast cancer identified by screening mammography, according to a study published this...

Machine learning predicts hospitalization during cancer treatment

by Shania Kennedy

Machine learning tools can accurately forecast an unplanned hospitalization event during concurrent chemoradiotherapy (CRT) using patient-generated health data from wearable devices, according to a...

MRI-based prostate cancer risk calculators prone to underprediction

by Shania Kennedy

New research published in JAMA Network Open shows that magnetic resonance imaging (MRI)-based risk calculators can predict prostate cancer risk among adults in Europe and North America with some...

Deep learning tool predicts brain metastasis in lung cancer patients

by Shania Kennedy

A research team from Washington University School of Medicine in St. Louis has developed a deep learning (DL)-based approach to help predict which patients with non-small cell lung cancer (NSCLC) are...

Mayo Clinic develops novel AI class to advance cancer research, care

by Shania Kennedy

Mayo Clinic researchers have developed a new class of artificial intelligence (AI) – known as hypothesis-driven AI – to advance oncology research, according to a study published recently in...

Artificial Intelligence Method Enables Data Mining from Pathology Reports

by Shania Kennedy

Cedars-Sinai researchers successfully utilized artificial intelligence (AI) to make pathology reports machine-readable, which could improve cancer patient recruitment in clinical trials. The research...

Precision Medicine Tool May Personalize Pediatric Cancer Treatment

by Shania Kennedy

Researchers from University of Utah Health have developed a precision medicine tool to provide insights into how medications can best be used in pediatric cancer populations. Drug dynamics, or...

AI Provides Personalized Treatment Strategies for Esophageal Cancer

by Shania Kennedy

A research team from the University of Texas at Arlington (UTA) has developed an algorithm to provide optimal personalized treatment options for esophageal cancer patients, according to a January study...

Machine Learning, ‘Liquid Biopsy’ to Bolster Early Cancer Detection

by Shania Kennedy

Researchers from City of Hope and its precision medicine research organization, the Translational Genomics Research Institute (TGen), have developed a machine learning (ML) approach that could...

Artificial Intelligence Models May Enhance Immunotherapy Treatments

by Shania Kennedy

Researchers from Cleveland Clinic and IBM have found that artificial intelligence (AI) models can help provide insights into how antigen peptides interact with immune cells, which could be used to...

Precision Medicine Tool May Enhance Pancreatic Cancer Outcome Prediction

by Shania Kennedy

The use of a precision medicine tool designed by Cedars-Sinai researchers has led to the development of a blood test that outperforms the only United States Food and Drug Administration (FDA)-approved...

Machine Learning Model Predicts Individual Risk for Multiple Myeloma

by Shania Kennedy

Researchers have developed an individual risk prediction model for multiple myeloma, which could significantly enhance prognosis and treatment, according to a study published this week in the Journal...

AI-Aided Colonoscopy May Improve Colorectal Neoplasia Detection

by Shania Kennedy

A systematic review and meta-analysis of randomized clinical trials (RCTs) published last week in eClinicalMedicine showed that artificial intelligence (AI)-aided colonoscopy may enhance the detection...

Deep Learning Model Flags Non-Smokers at Increased Risk for Lung Cancer

by Shania Kennedy

A deep learning model can accurately identify non-smokers at high risk for lung cancer using only routine chest X-rays, according to research presented at this year’s meeting of the Radiological...

AI Tool May Help Breast Cancer Patients Avoid Unnecessary Chemotherapy

by Shania Kennedy

Researchers from Northwestern University have developed an artificial intelligence (AI) tool that may be able to spare breast cancer patients unnecessary chemotherapy treatments by using cell patterns...

AI Tool Uses Epigenetic Factors to Predict Cancer Survival Outcomes

by Shania Kennedy

Researchers from the UCLA Health Jonsson Comprehensive Cancer Center have created an artificial intelligence (AI) model that can successfully predict cancer survival outcomes by analyzing epigenetic...

Machine Learning Methods May Improve Brain Tumor Characterization

by Shania Kennedy

Researchers from University of Florida (UF) Health have demonstrated that a combination of machine learning (ML) and liquid chromatography-high resolution mass spectrometry (LC-HRMS) can help make...

MD Anderson Cancer Center Launches Institute for Data Science in Oncology

by Shania Kennedy

The University of Texas MD Anderson Cancer Center recently launched its Institute for Data Science in Oncology (IDSO), which aims to transform cancer care and research through the application of...

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