Reimbursement

Access and Reimbursement for Artificial Intelligence in Radiology: A Macau Perspective.

Clinical practice, barriers to implementation, and priorities for equitable access of Stereotactic Body Radiation Therapy: An analysis of the global status by the ESTRO SBRT Focus Group.

BACKGROUND: Stereotactic Body Radiation Therapy (SBRT) has become an established treatment for sever...

Polygenic risk scores: Navigating the future of precision medicine through economic, ethical, and scientific advancements.

Polygenic risk scores (PRSs) are becoming an important component of precision medicine, supporting e...

Design of the first national lung cancer screening program in the European Union: the Croatian Model.

OBJECTIVES: To address Croatia's high lung cancer mortality and late-stage diagnoses, the Ministry o...

Turmeric extracellular vesicles-derived "all-in-one" nanoagent enables full-cycle synergistic immunomodulation of lung cancer.

Lung cancer's metastatic propensity and recurrence prevalence necessitate innovative immunotherapy s...

Machine learning for the prediction of urosepsis using electronic health record data.

Urosepsis, a medical condition resulting from the progression of urinary tract infection (UTI), is a...

Preparing the workforce for the non-linear implementation of health information technology.

This article addresses how the dynamic, interdisciplinary, and non-linear nature of health informati...

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...

Artificial Intelligence in Gastrointestinal Endoscopy: The Japan Gastroenterological Endoscopy Society Position Statements.

Research and development of artificial intelligence (AI) in the field of gastrointestinal endoscopy ...

Self-Driving and Detachable Lab-Microrobots Tailor Drug Delivery for Closed-Loop Stimulation of the Antitumor Immune Cycle.

Hypoxia arises in most solid tumors with insufficient blood flow, which hinders the delivery and eff...

Classifying Stereotactic Radiosurgery Patients by Primary Diagnosis Using Natural Language Processing of Clinical Notes.

PURPOSE: Accurate identification of the primary tumor diagnosis of patients who have undergone stere...

Updates on inherited arrhythmia syndromes (Brugada syndrome, long QT syndrome, CPVT, ARVC).

The inherited arrhythmia (IA) syndromes are a group of rare and complex conditions that may predispo...

Immunogenic cell death biomarkers for sepsis diagnosis and mechanism via integrated bioinformatics.

Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through...

Abolish Psychiatry, Abolish Neurology: Toward a Unified Discipline of Brain Medicine.

The longstanding division between psychiatry and neurology is a historical artifact, not a scientifi...

Advancing personalized, predictive, and preventive medicine in bladder cancer: a multi-omics and machine learning approach for novel prognostic modeling, immune profiling, and therapeutic target discovery.

OBJECTIVE: This study aimed to identify and analyze immunogenic cell death (ICD)-related multi-omics...

Artificial intelligence in key pricing, reimbursement, and market access (PRMA) processes: better, faster, cheaper-can you really pick two?

The rapid evolution of large language models (LLMs) and machine learning (ML) presents both signific...

Machine-Learned Codes from EHR Data Predict Hard Outcomes Better than Human-Assigned ICD Codes.

We used machine learning (ML) to characterize 894,154 medical records of outpatient visits from the ...

Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study.

BACKGROUND: Congestive heart failure (CHF) is a common cause of hospital admissions. Medical records...

Prospective Clinical Implementation of Paige Prostate Detect Artificial Intelligence Assistance in the Detection of Prostate Cancer in Prostate Biopsies: CONFIDENT P Trial Implementation of Artificial Intelligence Assistance in Prostate Cancer Detection.

PURPOSE: Pathologists diagnose prostate cancer (PCa) on hematoxylin and eosin (HE)-stained sections ...

Active learning and margin strategies for arrhythmia classification in implantable devices.

BACKGROUND AND OBJECTIVES: The massive storage of cardiac arrhythmic episodes from Implantable Cardi...

Application of Clinical Department-Specific AI-Assisted Coding Using Taiwan Diagnosis-Related Groups: Retrospective Validation Study.

BACKGROUND: The accuracy of the ICD-10-CM (International Classification of Diseases, Tenth Revision,...