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. 📉🩺
May 23, 2025
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Discover the newest research about AI innovations in 🛌 Palliative Care.
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 🤖💔
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. 📊💡
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. 🦷✨
April 22, 2025
Subacute Sclerosing Panencephalitis: Recent Advances in Pathogenesis, Diagnosis, and Treatment.
Subacute Sclerosing Panencephalitis: SSPE’s global incidence, pathogenesis, and treatment options. 🧠📉
April 17, 2025
Neuranics Secures $8 Million for Innovative Magnetic Sensing Technology
Neuranics secures $8 million for magnetic sensing technology, enhancing gesture recognition and heart signal tracking. 🧠💰
April 11, 2025
Integrating Artificial Intelligence in Stroke Rehabilitation: Current Trends and Future Directions; A mini review.
AI is transforming stroke rehabilitation, offering customized treatments and real-time monitoring. Challenges like data security remain. 🤖🧠
February 15, 2025
The impact of death and caring for the dying and their families on surgeons – an AI assisted systematic scoping review.
Surgeons face emotional challenges from patient deaths. Our review highlights the need for support to prevent burnout and ensure safety. ⚕️💔
February 13, 2025
Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis.
AI-driven model enhances diagnosis of pulmonary nodules. 🤖📊 Study shows promise in distinguishing benign from malignant cases.
January 21, 2025
Using voice recognition and machine learning techniques for detecting patient-reported outcomes from conversational voice in palliative care patients.
Voice recognition in palliative care shows promise for capturing patient-reported outcomes. 📊 Further research needed for improved accuracy. 🗣️
January 13, 2025