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A novel machine learning model may outperform standard statistical models in identifying and stratifying transplantation risk among patients with myelofibrosis, according to a recent study published by Hernández-Boluda et al in Blood. Background Although there are several therapies available to...
A new consortium, the Alliance for Global Implementation of Lung and Cardiac Early Disease Detection and Treatment (AGILE), has proposed a public health program of longitudinal chest computed tomography (CT) screenings among a global high-risk population of tobacco-exposed individuals utilizing...
A novel artificial intelligence (AI) tool, called Unfold AI, may help to determine which men with prostate cancer are most likely to benefit from partial gland cryoablation, according to a recent study published by Brisbane et al in BJUI Compass. The findings may play a key role in improving...
It’s a fast-paced world, no two ways about it. People move on from one event to another. We have to move on either for our own sake or the sake of someone near and dear. In the medical field, patients come and go, surgeries are performed, treatments are given, and everybody moves on. Being kind to...
Although artificial intelligence (AI)-assisted radiotherapy may help physicians make more informed decisions when treating patients with cancer, there may be challenges in how physicians work with the technology, according to a recent study published by Niraula et al in Nature Communications. Study ...
A study evaluating ChatGPT’s ability to accurately respond to patient inquiries regarding colon cancer by comparing its responses with assessments from expert clinical oncologists found that questions about symptoms, prevention, and screening for the cancer were highly accurate. However, responses...
Researchers have demonstrated that a novel artificial intelligence (AI)-based platform could aid physicians and patients in assessing the benefit from a particular therapy being tested in a clinical trial, according to a recent study published by Orcutt et al in Nature Medicine. The AI platform may ...
A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is published in Nature Medicine. “Ovarian tumors are common and are often detected by chance,” said...