Latest AI and machine learning research in practice management for healthcare professionals.
AI systems in healthcare research have shown potential to increase patient throughput and assist clinicians, yet progress is constrained by limited access to real patient data. To address this issue, we present a zero-shot, knowledge-guided framework for psychiatric tabular data in which large language models (LLMs) are steered via Retrieval-Augmented Generation using the Diagnostic and Statistica...
Given a question, a language model (LM) implicitly encodes a distribution over possible answers. In practice, post-training procedures for LMs often collapse this distribution onto a single dominant mode. While this is generally not a problem for benchmark-style evaluations that assume one correct answer, many real-world tasks inherently involve multiple valid answers or irreducible uncertainty. E...
In recent years, numerous data-intensive broadcasting applications have emerged at the wireless edge, calling for a flexible tradeoff between distorti...
mRNA coding sequence design is a critical component in the development of mRNA vaccines, nucleic acid therapeutics, and heterologous gene expression s...
Many wireless vision applications, such as autonomous driving, require preservation of global structural information rather than only per-pixel fideli...
Objectives Using qualitative methods, this study aimed to provide a comparative overview of the similarities and differences in perspectives towards A...
Some accounts of the etiology of autism emphasize core impairments in predictive coding, or, more fundamentally, integration of contextual information...
With the advent of complete genome assemblies, genome annotation has become essential for the functional interpretation of genomic data. Long-read RNA...
Recently, progress has been made on the Intra Pattern Copy (IPC) tool for JPEG XS, an image compression standard designed for low-latency and low-comp...
ABSTRACT Background: Sezary syndrome (SS) represents an aggressive leukemic variant of cutaneous T-cell lymphoma (CTCL) with distinct clinical behavio...
To overcome the limitations of manual administrative coding in geriatric Cardiovascular Risk Management, this study introduces an automated classifica...
Recent biosignal foundation models (FMs) have demonstrated promising performance across diverse clinical prediction tasks, yet systematic evaluation o...
As we listen to speech, our brains track the meanings of the words we hear. Recent successes of large language models suggest that distributed populat...
We developed and validated a self-administered clinical vignette platform powered by a large language model (LLM), deployed through a SurveyCTO web su...
The human brain encodes a virtually infinite repertoire of semantic concepts using a finite number of neurons, a feat that defies the capacity limits ...
Transcription factors recognise and bind specific DNA sequence patterns in promoters and enhancers thereby regulating gene expression. Variations in t...
Patient-generated text such as secure messages, surveys, and interviews contains rich expressions of the patient voice (PV), reflecting communicative ...
Genomic sequences span billions of base pairs (bp), posing a fundamental challenge for genome-scale foundation models. Existing approaches largely sid...
Image Copy Detection (ICD) aims to identify manipulated content between image pairs through robust feature representation learning. While self-supervi...
Background: Australian health practitioners are regulated under the Health Practitioner Regulation National Law, with serious conduct matters referred...