Latest AI and machine learning research in practice management for healthcare professionals.
For decades, mainframe systems have been vital in enterprise computing, supporting essential applications across industries like banking, retail, and healthcare. To harness these legacy applications and facilitate their reuse, there is increasing interest in using Application Programming Interfaces (APIs) to expose their data and functionalities, enabling the creation of new applications. Howeve...
Recent advancements in high-throughput sequencing technologies have significantly enhanced our ability to unravel the intricacies of gene regulatory processes. A critical challenge in this endeavor is the identification of variant effects, a key factor in comprehending the mechanisms underlying gene regulation. Non-coding variants, constituting over 90% of all variants, have garnered increasing at...
Nurses continue to face challenges in leading health information technology innovations such as Artificial Intelligence (AI). There is an acknowledged...
Community-based palliative care is a useful, but underutilized service to support seriously ill older adults to remain safely at home and improve qual...
Diversity is a concept of prime importance in almost all disciplines based on information processing. In telecommunications, for example, spatial, t...
The proliferation of high resolution videos posts great storage and bandwidth pressure on cloud video services, driving the development of next-gene...
BACKGROUND: Recording and coding of ageing syndromes in hospital records is known to be suboptimal. Natural Language Processing algorithms may be usef...
Despite the widespread development of ontologies in many domains of healthcare, the field of colorectal cancer (CRC) presents a notable gap considerin...
With the rapid growth of multimedia data volume, there is an increasing need for efficient video transmission in applications such as virtual realit...
The development of existing facial coding systems, such as the Facial Action Coding System (FACS), relied on manual examination of facial expression...
The Genomic Foundation Model (GFM) paradigm is expected to facilitate the extraction of generalizable representations from massive genomic data, the...
Clinical variant classification of pathogenic versus benign genetic variants remains a challenge in clinical genetics. Recently, the proposition of ...
Inconsistent disease coding standards in medicine create hurdles in data exchange and analysis. This paper proposes a machine learning system to addre...
High-throughput DNA sequencing technologies decode tremendous amounts of microbial protein-coding gene sequences. However, accurately assigning protei...
Natural language processing is an exciting and emerging field in health care that can transform the field of orthopaedics. It can aid in the process o...
Objective To screen out the biomarkers linked to prognosis of breast invasive carcinoma based on the analysis of transcriptome data by random forest (...
Large language models based on self-attention mechanisms have achieved astonishing performances, not only in natural language itself, but also in a va...
Generative artificial intelligence (AI) tools such as ChatGPT, Bard, and Claude have recently become a concern in the delivery of engineering educatio...
Natural language processing techniques are having an increasing impact on clinical care from patient, clinician, administrator, and research perspecti...
Recognition of patient symptoms is core to medicine, research, and public health. We tested four large language models (LLMs) identifying 11 symptoms ...