Information Technology

Artificial Intelligence-Driven Three-Dimensional Reconstruction in Lung Cancer Surgery: Current Status and Future Perspectives.

BACKGROUND: Three-dimensional (3D) reconstruction is an important adjunct in lung cancer surgery for...

Multimodal SERS Biosensing Platforms: Emerging Opportunities for Ultrasensitive Biomarker Detection and Intelligent Diagnostics.

Surface-enhanced Raman scattering (SERS) has emerged as a powerful analytical technique for biosensi...

Small-bowel capsule endoscopy - from clinic to couch: time to go green?

PURPOSE OF REVIEW: Small-bowel capsule endoscopy (SBCE) has transformed small-intestine diagnostics ...

Pioneering efficient deep learning architectures for enhanced hepatocellular carcinoma prediction and clinical translation.

BACKGROUND: Hepatocellular carcinoma (HCC) is a major cause of cancer-related mortality worldwide an...

Artificial intelligence in combating challenges in antimicrobial resistance: a narrative review.

Antimicrobial resistance (AMR) is a major global health challenge that threatens the effective preve...

Interpretable four-factor day-1 nomogram for predicting sepsis-associated encephalopathy in septic ICU patients with AKI: Development and internal validation in MIMIC-IV.

Sepsis-associated encephalopathy (SAE) is common in the intensive care unit (ICU) and portends worse...

Overview of a User-Centered, Mixed-Methods Process for Designing Interconnected and Focused Mobile Applications on Patient Care Environment (InterFACE): Augmented-Reality Decision Support System for Pediatric Resuscitation.

BACKGROUND: Pediatric cardiopulmonary resuscitation (CPR) is a highly complex and time-critical proc...

An update on the developments and challenges with the diagnosis and classification of autoimmune optic neuritis.

INTRODUCTION: Autoimmune optic neuritis (ON) is a heterogeneous spectrum that includes multiple scle...

Predicting the need for electroconvulsive therapy via machine learning trained on electronic health record data.

OBJECTIVES: Electroconvulsive therapy (ECT) is an effective treatment of severe manifestations of me...

Identifying the 'gray zone': Developing scalable methods to detect opioid misuse in veterans on long-term opioid therapy for pain.

BACKGROUND: Patients prescribed opioids who are at high risk for misuse but don't meet diagnostic cr...

From Silos to Synergy: Mapping the Adoption and Interoperability Gaps of Clinical AI in Canadian Healthcare.

Artificial intelligence (AI) is increasingly integrated into clinical workflows worldwide, yet in Ca...

Scaling Responsible Medical Text Retrieval Across Silos: Evaluating Small Language Models with Retrieval-Augmented Generation.

This study evaluates small language models with FAISS and Dynamic Top-k for diabetes-focused medical...

Early detection of female-specific cancers using longitudinal healthcare records with a multichannel convolutional neural network.

OBJECTIVES: Female-specific cancers, including breast, ovarian, cervical and uterine malignancies, l...

From Telemedicine to Early Warning: Embedding Artificial Intelligence in Remote Follow-Up of Diabetic Foot Ulcers.

Clinical Applications of Data Science and Machine Learning in the Pediatric Cardiac Intensive Care Unit.

To synthesize and critically appraise applications of machine learning (ML) in pediatric cardiac int...

Leveraging natural language processing and machine learning to identify chronic conditions from primary care electronic medical records.

Primary care electronic medical records (EMRs) contain rich data that can support proactive identifi...

EC2Seq2Sql: Patient-trial matching with LLM agents.

Timely identification of patients who meet clinical trial eligibility criteria is a persistent bottl...

Artificial intelligence and predictive analytics in obstetric anesthesia: early warning for maternal complications.

PURPOSE OF REVIEW: Maternal morbidity and mortality remain largely preventable, yet current risk-ass...

Data integration and systems interoperability: the prerequisite for artificial intelligence in anesthesiology.

PURPOSE OF REVIEW: Anesthesiology generates large volumes of heterogeneous perioperative data, inclu...

Windows-APT 2025: A dataset for APT-inspired attack scenarios on windows systems.

The Windows-APT Dataset 2025 represents a significant advancement in cybersecurity research, address...

Impact of AI Scribes on Physician Productivity and Workflow in Medical Oncology.

PURPOSE: Artificial intelligence (AI) scribes are being rapidly adopted in oncology, yet their real-...