Latest AI and machine learning research in medicare for healthcare professionals.
Long-read single-cell RNA sequencing enables full-length transcript profiling but remains limited by challenges in interpreting structurally complex sequencing reads. High error rates, heterogeneous library designs, and frequent molecular artifacts disrupt barcode and UMI detection, while existing pipelines rely on positional heuristics that fail when structural elements are shifted, truncated, re...
BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary neoplasms. Complete surgical removal remains the cornerstone of curative therapy, yet it frequently diminishes residual lung function and exercise tolerance. Structured, center-based rehabilitation hastens physiological recovery, but conventional schemes rarely deliver continuous, patient-specific mo...
OBJECTIVE: In treatment planning for iliac venous obstruction, iliofemoral venous anatomy is central to procedural planning, but population-level refe...
This work aims to develop a digital twin (DT) framework for fast online adaptive proton therapy planning in prostate stereotactic body radiation thera...
PURPOSE: Medicare's New Technology Add-On Payment (NTAP) incentivizes the adoption of innovative technologies. We examined factors associated with the...
BACKGROUND AND OBJECTIVES: Outer nuclear layer (ONL) thinning has been identified in frontotemporal lobar degeneration (FTLD); however, its utility fo...
BACKGROUND: The Cox proportional hazards model often fails to capture complex biomedical risk structures, such as U-shaped biomarker associations, due...
BACKGROUND: We compared performance across 3 breast cancer risk domains-clinical, polygenic, and mammography artificial intelligence-alone and in comb...
Functional connectivity (FC) is a widely used metric in functional magnetic resonance imaging (fMRI) research. However, its reliability has long been ...
The intricate cortical folds of large primates physically restrict access to substantial portions of neural information via interface devices. Here, w...
Accurate estimation of long-range directed connectivity remains a critical challenge in recurrent neural network design due to vanishing gradients ove...
BACKGROUND: Egypt's health financing is characterised by persistently high out-of-pocket (OOP) payments exceeding 50% of total health expenditure and ...
BACKGROUND: Modern sequencing technologies have enabled the reconstruction of complete mammalian genomes from telomere to telomere. However, scaling t...
BACKGROUND: Large language models (LLMs) can generate structured educational content at scale, yet their role in postgraduate radiology training remai...
The atomic-scale structure of a metal catalyst surface controls its catalytic performance. Through a combination of high-pressure scanning tunneling m...
BACKGROUND: Accurate clinical outcome prediction using electronic health records (EHRs) is crucial for patient care and resource allocation. EHRs incl...
Vegetation restoration is widely regarded as a key measure for mitigating soil erosion in the middle reaches of the Yellow River. However, the regulat...
BRAF mutations are key oncogenic alterations across multiple malignancies, including melanoma, thyroid carcinoma, colorectal cancer, non-small cell lu...
BACKGROUND: Trustworthy artificial intelligence (AI) in health care requires assurance frameworks that translate ethical principles into measurable go...
OBJECTIVES: To systematically map the extent and nature of research on AI-enhanced point-of-care (POC) and rapid diagnostic technologies for infectiou...