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News
AI Models May Steer the Future of EGFR-mutant NSCLC Care
3+ day, 14+ hour ago (465+ words) Epidermal growth factor receptors (EGFR) are supposed to help your cells grow and divide. When this gene mutates, it can get stuck producing new cells, leading to abnormal cell growth, otherwise known as cancer. It’s a significant risk factor for…...
Applied Sciences, Vol. 16, Pages 8962: MMAC-Net: A Multi-Modal Multi-Label Attention-Based Deep Learning Approach for Automated ICD-9 Coding of Rare Disease Admissions from Electronic Health Records
4+ day, 16+ hour ago (537+ words) Automating the identification of International Classification of Diseases (ICD) codes from electronic health records (EHRs) presents a critical challenge, particularly for rare diseases where existing computational methods severely underperform due to extreme long-tail label distributions. To address this, we propose a…...
Applied Sciences, Vol. 16, Pages 8897: MRI-Based Radiomics and Machine Learning for Predicting Pathological Tumor Invasion and Nodal Status in Rectal Cancer: A Retrospective Study
6+ day, 15+ hour ago (468+ words) Introduction: MRI is the gold-standard imaging modality for rectal cancer (RC) local staging, but the ability to determine tumor invasion (pT) and nodal status (pN) remains limited in clinical practice. The main objective of this study is to evaluate the…...
?????? Heart: An AI recognizes arrhythmias with 98% accuracy - News
1+ week, 2+ hour ago (367+ words) Sep 7, 2026, 04:00 AM FR · ES · DE · PT A new artificial intelligence model recognized several types of arrhythmias on electrocardiograms with more than 98% accuracy. An arrhythmia is a heartbeat that is too fast, too slow, or irregular. It may be harmless or…...
New machine learning model predicts IVIG resistance in Kawasaki disease
1+ week, 4+ hour ago (132+ words) Researchers in China have developed and validated a machine learning model that predicts, before treatment begins, which children with Kawasaki disease are likely to resist the standard first-line therapy, offering clinicians a practical tool for early risk stratification in a…...
Machine Learning Detects Anaphylaxis Early from Real-World Physiological
1+ week, 2+ day ago (57+ words) In operating rooms around the world, one of the most feared emergencies is also one of the hardest to spot in time. Intraoperative anaphylaxis—a sudden, potentially fatal allergic reaction that strikes while a patient is under anesthesia—often announces…...
Variational autoencoders detect coronary artery disease in SPECT images
1+ week, 3+ day ago (97+ words) In a development that could reshape how nuclear cardiology is practiced worldwide, researchers in Japan have shown that a type of artificial intelligence called a variational autoencoder can detect coronary artery disease in myocardial perfusion SPECT images more accurately than…...
Applied Sciences, Vol. 16, Pages 8756: Anti-Forgetting Adaptive Teacher-Driven Knowledge Distillation for Medical Image Classification
1+ week, 3+ day ago (365+ words) Deep neural networks (DNNs) have achieved remarkable success in medical image classification, yet their performance remains sensitive to dataset size. Knowledge distillation (KD) alleviates this issue by transferring knowledge from a high-capacity teacher to a lightweight student. However, conventional KD…...
Machine learning predicts tuberculosis drug resistance from whole genomes,
2+ week, 10+ hour ago (907+ words) Tuberculosis has been outsmarting antibiotics for decades, but one of humanity’s deadliest infections may have finally met its analytical match: artificial intelligence that reads its entire genome....