π€ Machine Learning
Every article we have published: research summaries, product thinking and developments in health AI.
π€ Machine Learning Β· 2,184 articles
Identifying Racial Disparities in Utilization and Clinical Outcomes of Ambulatory Hip Arthroscopy: Analysis of Temporal Trends and Causal Inference via Machine Learning.
Racial disparities in hip arthroscopy utilization and outcomes were highlighted in a recent PubMed article. πβοΈ
Recent updates in treating carbapenem-resistant infections in patients with hematological malignancies.
Recent updates on treating carbapenem-resistant infections in hematological malignancies highlight critical options and emerging therapies. π¦ π
PharmaBench: Enhancing ADMET benchmarks with large language models.
PharmaBench improves ADMET benchmarks using large language models, enhancing drug development accuracy. π§¬π Comprehensive dataset aids AI model creation.
A Machine Learning Approach for Predicting Biochemical Outcome After PSMA-PET-Guided Salvage Radiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospective Study.
A recent study explores machine learning for predicting outcomes in recurrent prostate cancer after salvage radiotherapy. ππ¬
Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography.
New research highlights the role of optical coherence tomography in predicting oral cancer prognosis using deep learning. ππ¦·
Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study.
A recent PubMed article explores patient views on AI in mental health care. Key findings highlight benefits, concerns, and values. π€π
Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study.
Large language models can enhance depression detection through diary text analysis. ππ€ Early intervention is crucial for mental health.
Salivary detection of Chikungunya virus infection using a portable and sustainable biophotonic platform coupled with artificial intelligence algorithms.
Salivary detection of Chikungunya virus shows promise. A portable platform with AI algorithms offers non-invasive testing. π¦ π§
Identification of Disulfidptosis-Related Genes in Ischemic Stroke by Combining Single-Cell Sequencing, Machine Learning Algorithms, and In Vitro Experiments.
Recent research highlights disulfidptosis-related genes in ischemic stroke. Key findings reveal their role in immune response and potential therapies. π§ π¬
Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement.
Machine learning models effectively classify cervical vertebral maturation stages, achieving up to 77.4% accuracy. ππ¦΄
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