Practice Management

Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection.

The rapid expansion of Internet of Things (IoT) networks necessitates efficient intrusion detection ...

Rethinking arthritis: exploring its types and emerging management strategies.

Arthritis is a complex group of disorders characterized by inflammation of the joints and poses a si...

Modernizing Risk Adjustment in Health Care: A Position Paper of the American College of Physicians.

Risk adjustment is a critical component of health care reimbursement aimed at ensuring fair compensa...

HEalth Record Optimization for Identifying Candidates for HIV PRe-Exposure Prophylaxis: A Community-Informed Approach to Model Development.

Electronic health record (EHR)-based models to identify individuals who may benefit from pre-exposur...

European Respiratory Society Clinical Practice Guideline on Telemedicine in Home Mechanical Ventilation.

BACKGROUND: With the increasing prevalence of patients on home mechanical ventilation (HMV), changin...

Blockchain Technology: Overview and Applications in Radiology.

Blockchain technology (BCT) enables the building of a distributed decentralized network that securel...

Emerging technologies in airway management: a narrative review of intubation robotics and anatomical structure recognition algorithms.

In recent years, the medical field has seen significant advancements in the field of robotics and ar...

Enhancing Surgical Precision: A Systematic Review of Wearable Medical Devices for Assisted Surgery.

The integration of wearable medical devices into surgical practice has transformed the field, enabli...

Machine learning model for daily prediction of pediatric sepsis using Phoenix criteria.

BACKGROUND: Early sepsis diagnosis is essential for initiating prompt treatment, preventing the prog...

Sustainability and minimization of carbon footprint in ophthalmology: what can we change in the outpatient clinic routine?

Ophthalmological care has significant potential to consume energy, utilize resources, and generate w...

Can we identify individuals at risk to develop multiple myeloma? A machine learning-based predictive model.

Multiple myeloma evolves unnoticed over years, and when diagnosed, organ damage is common. Electroni...

A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data.

The widespread adoption of Electronic Health Records (EHRs) and deep learning, particularly through ...

Pretrained patient trajectories for adverse drug event prediction using common data model-based electronic health records.

BACKGROUND: Pretraining electronic health record (EHR) data using language models has enhanced perfo...

A Post-Quantum Blockchain and Autonomous AI-Enabled Scheme for Secure Healthcare Information Exchange.

Secure healthcare information exchange (HIE) is critical to improving medical services, enabling dat...

MPSE identifies newborns for whole genome sequencing within 48 h of NICU admission.

Identifying critically ill newborns who will benefit from whole genome sequencing (WGS) is difficult...

Digital Therapeutics for Cognitive Impairment: Exploring Innovations, Challenges, and Future Prospects.

Recent advancements in cognitive neuroscience and digital technology have significantly accelerated ...

Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models.

Difficult-to-treat depression (DTD) has been proposed as a broader and more clinically comprehensive...

Empirical evaluation of artificial intelligence distillation techniques for ascertaining cancer outcomes from electronic health records.

Phenotypic information for cancer research is embedded in unstructured electronic health records (EH...

Enhancing Healthcare Data Integration: A Machine Learning Approach to Harmonizing Laboratory Labels.

Variations in laboratory test names across healthcare systems-stemming from inconsistent terminologi...

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