Practice Management

Latest AI and machine learning research in practice management for healthcare professionals.

12,096 articles
Stay Ahead - Weekly Practice Management research updates
Subscribe
Browse Specialties
Showing 64-84 of 12,096 articles
PPILS: Protein-protein interaction prediction with language of biological coding.

Protein-protein interactions within a cell are essential for various fundamental biological processe...

Phenotypic antibiotic resistance prediction using antibiotic resistance genes and machine learning models in Mannheimia haemolytica.

Mannheimia haemolytica is one of the most common causative agents of bovine respiratory disease (BRD...

AI-based classification of anticancer drugs reveals nucleolar condensation as a predictor of immunogenicity.

BACKGROUND: Immunogenic cell death (ICD) inducers are often identified in phenotypic screening campa...

Intrinsic plasticity coding improved spiking actor network for reinforcement learning.

Deep reinforcement learning (DRL) exploits the powerful representational capabilities of deep neural...

An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study.

BACKGROUND: Rare diseases affect millions worldwide but sometimes face limited research focus indivi...

Enhanced accuracy in first-spike coding using current-based adaptive LIF neuron.

First spike timings are crucial for decision-making in spiking neural networks (SNNs). A recently in...

Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization.

Neurons in the brain have rich and adaptive input-output properties. Features such as heterogeneous ...

Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database.

The billing database of the universal healthcare system in Japan potentially includes large-cohort d...

Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study.

BACKGROUND: The digitisation of healthcare records has generated vast amounts of unstructured data, ...

Extracting International Classification of Diseases Codes from Clinical Documentation Using Large Language Models.

BACKGROUND:  Large language models (LLMs) have shown promise in various professional fields, includi...

Analysis of four long non-coding RNAs for hepatocellular carcinoma screening and prognosis by the aid of machine learning techniques.

Hepatocellular carcinoma (HCC) represents a significant health burden in Egypt, largely attributable...

MCCA-VNet: A Vit-Based Deep Learning Approach for Micro-Expression Recognition Based on Facial Coding.

In terms of facial expressions, micro-expressions are more realistic than macro-expressions and prov...

Using machine learning to identify pediatric ophthalmologists.

This cross-sectional study used data from the American Academy of Ophthalmology IRIS Registry (Intel...

Toward trustable use of machine learning models of variant effects in the clinic.

There has been considerable progress in building models to predict the effect of missense substituti...

Multi-compartment neuron and population encoding powered spiking neural network for deep distributional reinforcement learning.

Inspired by the brain's information processing using binary spikes, spiking neural networks (SNNs) o...

Comparison of deep learning approaches to estimate injury severity from the International Classification of Diseases codes.

OBJECTIVE: The injury severity classification based on the Abbreviated Injury Scale (AIS) provides i...

Coronary Artery Disease Detection Based on a Novel Multi-Modal Deep-Coding Method Using ECG and PCG Signals.

Coronary artery disease (CAD) is an irreversible and fatal disease. It necessitates timely and preci...

Sparse Coding Inspired LSTM and Self-Attention Integration for Medical Image Segmentation.

Accurate and automatic segmentation of medical images plays an essential role in clinical diagnosis ...

Browse Specialties