Former President Joe Biden and his family announced on May 18 that he had been diagnosed with an “more aggressive form” of Stage 4 prostate cancer, which has metastasized to his bones.The diagnosis is…
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Deep learning techniques have significantly enhanced the convenience and precision of ultrasound image diagnosis, particularly in the crucial step of lesion segmentation. However, recent studies reveal that both train-from-scratch models and pre-trained models often…
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What You Should Know:
– Mentaily, a company developing AI-powered tools for mental health assessment, triage, and the diagnosis of mental disorders secures $3M seed funding round led by a US-based family office and Israeli…
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Accurate medical decision-making is critical for both patients and clinicians. Patients often struggle to interpret their symptoms, determine their severity, and select the right specialist. Simultaneously, clinicians face challenges in integrating complex patient data…
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The Endoscopy Integration Challenge
In today’s endoscopy departments, disconnected systems create significant workflow barriers. Image and video data generated during procedures often reside in separate systems from patient information. Furthermore, when biopsies are taken during…
This study proposes a semi-weakly supervised learning approach for pulmonary embolism (PE) detection on CT pulmonary angiography (CTPA) to alleviate the resource-intensive burden of exhaustive medical image annotation. Attention-based CNN-RNN models were trained on…
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AI-driven heart scans which cut the need for invasive tests have saved millions of pounds, according to an analysis.
The Heartflow technology, which has been rolled out across 56 hospitals in England since 2021,…
A cancer diagnostic tool will be rolled out across the NHS to help cut treatment delays and boost survival rates, the government has announced.
The Cancer 360 tool, which is built into the federated data…
Although using artificial intelligence (AI) to analyze ultrasound images is a promising approach to assessing thyroid nodule risks, traditional AI models lack transparency and interpretability. We developed a multimodal generative pre-trained transformer for thyroid…
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Terry Ciesla, Senior Vice President at ScribeEMR, explains in this video how various AI scribes can be evaluated on the basis on how well they handle complex, obscure, and subtle details.He offers an example…
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