[New developments in the radiotherapy for head and neck cancer].
Innovative radiotherapy techniques for head and neck cancer show promise in improving outcomes and reducing side effects. ππ‘
July 14, 2025
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Discover the newest research about AI innovations in π Palliative Care.
Machine Learning-Based Prediction of Clinical Outcomes in Patients With Cancer Receiving Systemic Treatment Using Step Count Data Measured With Smartphones.
Machine learning predicts cancer treatment outcomes using smartphone step counts. π±πΆββοΈ AUC for hospitalizations: 0.88! π
July 1, 2025
DarioHealth and GreenKey Health Collaborate to Enhance Sleep Health Solutions
DarioHealth partners with GreenKey Health to improve sleep health solutions. The collaboration focuses on obstructive sleep apnea management. π€π€
June 28, 2025
Application of artificial intelligence in palliative care: a bibliometric analysis of research hotspots and trends.
AI in Palliative Care: 246 studies, 45 countries, key trends in machine learning & quality of life enhancement. ππ€
June 9, 2025
AI Technology Estimates Biological Age from Facial Images to Enhance Cancer Prognosis
AI technology estimates biological age from facial images, aiding cancer prognosis and treatment decisions. πΈπ§¬
May 31, 2025
SSC-SleepNet: A Siamese-Based Automatic Sleep Staging Model with Improved N1 Sleep Detection.
Revolutionary SSC-SleepNet enhances N1 sleep detection in EEG, achieving F1-scores up to 60.2%! π€π
May 24, 2025
Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer.
Palliative care documentation trends in metastatic cancer reveal weakening lexical associations over time. ππ©Ί
May 23, 2025
Needs of bereaved families of patients with cancer towards artificial intelligence in palliative care: A web-based survey.
AI in Palliative Care: 80% of Bereaved Families Seek Symptom Management Solutions π€π
May 2, 2025
The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm.
Machine learning predicts palliative care needs in COPD patients with 92% accuracy. Key factors: BMI, fatigue, activity level, FEV1. ππ‘
April 25, 2025
Analog to Digital Diagnosis and Planning in Orthognathic Surgery: A Narrative Review.
Innovations in orthognathic surgery enhance precision and outcomes. Key advancements include AI, 3D imaging, and virtual planning. π¦·β¨
April 22, 2025