Although LLMs excel on widely used benchmarks such as multiple-choice tests, their evaluation for clinical decision support tasks remains underexplored15,16,17. Currently, no widely accepted benchmark exists for
Under normal circumstances, an indicator monopolizes an area on the dashboard, so through the definition of key indicators, you know what content will be displayed on the dashboard, and how many pieces the dashboard will be divided into. For example, asales graphcould occupy a prominent secti...
A chronic wound is a wound that fails to heal within the expected timeframe, typically beyond 4-6 weeks, and does not progress through the normal stages of healing (inflammatory, proliferative, and remodeling) [1,2]. Chronic wounds remain in a stalled phase due to factors such as underlying...
When the performance function g(x) is linear and uncertain parameters are normally distributed, g(x) will also follow the normal distribution. Equation (1) can be evaluated without performing the integration. Let μg and σg denote the mean and the standard deviation of g(x), respectively. ...
‘curve’, ‘corner’, and ‘vertical’. For curve functions, high-level rewards were rejected with gradually increasing frequency as costs increased (Supplemental Fig.3a, b). Corner functions (Supplemental Fig.3c, d) were like curves, but with a steep drop-off of acceptance of high-level ...
Normal Distribution The normal distribution represents how the data is distributed. In this case, most of the data samples in the distribution are scattered at and around the mean of the distribution. A few instances are scattered or present at the long tail ends of the distribution. ...
To include surrounding normal skin in modeling, in this paper, we propose a novel Transformer-based framework for the severity scoring tasks of skin diseases related, named LSATrans, which considers both the lesion area as well as the surrounding normal skins in modeling. Different from the typic...
The model tested on a real dataset demonstrated high performance. Predicting surgical risk 1 day in advance achieved precision (0.913 ± 0.034), recall (0.841 ± 0.053), F1 score (0.874 ± 0.029), and AP (0.917 ± 0.025). The 2-days-in-advance predictions yielded (...
This scoping review systematically maps externally validated machine learning (ML)-based models in cancer patient care, quantifying their performance, and clinical utility, and examining relationships between models, cancer types, and clinical decisions. By synthesizing evidence, this study identifies, stren...
circuit-level spatiotemporal complexity. The VIP/VPAC2 cellular axis is therefore a neurochemically and topologically specific pacemaker hub that determines the emergent properties of the SCN timekeeper. Similar content being viewed by others Suprachiasmatic VIP neurons are required for normal circadian ...