Titlebook: AI for Health Equity and Fairness; Leveraging AI to Add Arash Shaban-Nejad,Martin Michalowski,Simone Bianc Book 2024 The Editor(s) (if appl

Silent-Ischemia

,Using Large Language Models for?Generating Smart Contracts for?Health Insurance from?Textual Policiet blockchain-based smart contracts as they offer immutability, verifiability, scalability, and a trustless setting: any number of parties can use the smart contracts, and they need not have previously established trust relationships with each other. Our methodology generates outputs at increasing l

說(shuō)笑

cognizant

Designing Retrieval-Augmented Language Models for Clinical Decision Support,ettings. Retrieval-augmented language models carry potential to relieve the information burden on clinicians in the next generation of clinical decision support systems by unifying non-parametric knowledge representations with parametric reasoning systems. Numerous designs for these semi-parametric

Epithelium

ICLE

雜役

Knowledge-Grounded Medical Dialogue Generation,has become a critical step to assess treatment eligibility. In order to address the increasing volume?of APOE testing, tools to help patients understand genetic risk factors and their implications are urgently needed. Conversational agents powered by large language models (LLMs) can help triage pati

儲(chǔ)備

,Interpretable Classification of Early Stage Parkinson’s Disease from EEG,ch, representing EEG data as a 15-variate series of bandpower and peak frequency values/coefficients. We hypothesise that this representation captures essential information from the noisy EEG signal, improving disease detection. Statistical features extracted from this representation are input to in

Lament

gait-cycle

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