Artificial Intelligence (AI) encompasses the development of computer systems capable of tasks typically requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Over time, numerous applications have emerged, with AI's integration into medicine marking a significant leap forward in healthcare delivery, diagnosis, and treatment. Among medical specialties, dermatology stands at the forefront of AI advancements, leveraging machine learning and deep learning to enhance dermatologists' abilities and improve patient care.
View Article and Find Full Text PDFBackground/objectives: The principles of value-based healthcare (VBHC) have received widespread endorsement, leading healthcare organizations worldwide to shift their strategies towards them. However, despite growing recognition and acceptance, the actual implementation of value-based approaches varies widely. This research aims to identify studies that address the implementation of VBHC at different levels (healthcare policymakers, hospital administrators, and healthcare providers), focusing on each level's relative strategies.
View Article and Find Full Text PDFThe International Staging System for multiple myeloma recently underwent a second revision (R2-ISS) to include gain/amplification of 1q21 and account for the additive prognostic significance of multiple high-risk features. The phase 3 ICARIA-MM (isatuximab-pomalidomide-dexamethasone vs. pomalidomide-dexamethasone) and IKEMA (isatuximab-carfilzomib-dexamethasone vs.
View Article and Find Full Text PDFCurrent rheumatoid arthritis (RA) treatments do not restore immune tolerance. Investigating dendritic cell (DC) populations in human synovial tissue (ST) may reveal pathways to reinstate tolerance in RA. Using single-cell and spatial transcriptomics of ST biopsies, as well as co-culture systems, we identified condition- and niche-specific DC clusters with distinct functions.
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