Quantitative Imaging for Interstitial Lung Disease.
Quantitative imaging enhances ILD diagnosis and treatment, utilizing CT and emerging MRI techniques. ππ«
December 5, 2025
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Discover the newest research about AI innovations in π Palliative Care.
Response to Letter: “Top Ten Tips Palliative Care Clinicians Should Know About the Future of Artificial Intelligence” (Patel et al., Journal of Palliative Medicine, 2025).
Exploring AI’s role in palliative care: Key insights from Patel et al. (2025) π§ π‘
December 1, 2025
Global trends and hotspots in AI applications for CT detection of chronic obstructive pulmonary disease: A bibliometric analysis from 2012 to 2024.
AI in CT Detection of COPD: 189 Publications, 37.83% Growth ππ
November 22, 2025
Evaluating the Performance of ChatGPT-4V in Detecting Inflammatory Magnetic Resonance Imaging Findings of Sacroiliitis: Potentials, Challenges, and Limitations.
AI in MRI: ChatGPT-4V shows 95.5% sensitivity for bone marrow edema in sacroiliitis detection. Limitations noted. ππ©»
November 21, 2025
Artificial Intelligence in Supportive Oncology and Symptom Management Opportunities.
AI in Oncology: Enhancing Symptom Management & Patient Care π€π
November 20, 2025
Mapping study on AI-based technologies in palliative care – a scoping study.
AI in Palliative Care: Enhancing Quality of Life through Technology π€π
November 3, 2025
What Is Implementation Science: And Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging.
Implementation science bridges AI and medical imaging, addressing barriers for effective clinical adoption. π€π
October 31, 2025
Modeling Pain Dynamics and Opioid Response in Oncology Inpatients: A Retrospective Study with Application to AI-Guided Analgesic Strategies in Colorectal Cancer.
AI models predict pain relief in colorectal cancer patients: 73.8% improved, AUC 0.9167. Key insights from PubMed study. ππ
October 30, 2025
Tracing the evolution in sleep apnea detection: a review from traditional non-contact under-the-mattress devices to advanced AI-driven methods.
Revolutionary sleep apnea detection: From traditional PSG to advanced AI-driven under-the-mattress devices. ποΈπ€
October 27, 2025
Artificial intelligence-based approaches for advance care planning: a scoping review.
AI enhances advance care planning, identifying patients and aiding decisions. Key findings: 41 studies, 39 on patient identification. ππ€
October 24, 2025