Abstract: Channel state information (CSI) prediction, which can efficiently avoid the channel aging problem, will be essential for the design of next generation advanced transceiver. To predict ...

Abstract: Large Language Models (LLMs) have transformed natural language processing by offering human-like responses. However, issues such as incorrect information (hallucinations) and errors in ...

Introduction: Electronic health record (EHR)-based research often relies on structured data elements, such as ICD-10-CM and CPT codes, to identify clinical diagnoses and procedures. However, some ...

Correction: Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study ...

--values-file, -v Values files to validate (comma-separated or multiple flags) Defaults to values.yaml --rules-file, -r Rules files to validate against (comma-separated or multiple flags) Defaults to ...

This could support semiautomated abstraction, but given the potential risk for harm, human review would be essential before using results for any patient engagement or care decisions. Furthermore, ...