AI Medical Compendium

Improving the efficiency of normalized metal artifact reduction via a unified forward projection.

Physics in medicine and biology Jan 20, 2026

Normalized metal artifact reduction (NMAR) is a robust and widely used method for reducing metal artifacts in computed tomography (CT). However, conventional NMAR requires at least two forward projections, one for metal trace detection and the other ... read more

Novel Artificial Intelligence Chest X-ray Diagnostics: A Quality Assessment of Their Agreement with Human Doctors in Clinical Routine.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jan 20, 2026

The rising demand for radiology services calls for innovative solutions to sustain diagnostic quality and efficiency. This study evaluated the diagnostic agreement between two commercially available artificial intelligence (AI) chest X-ray systems an... read more

Artificial Intelligence Competencies and Educational Needs Among ERNICA Members: Results of a Multinational Survey.

European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie Jan 20, 2026

INTRODUCTION: Artificial Intelligence (AI) is increasingly recognized as a transformative force in healthcare. In the field of rare diseases, AI can enhance diagnostic accuracy and facilitate knowledge-sharing across borders. To effectively contribut... read more

One-Step Design of Potent and Nonhemolytic Antimicrobial Peptides by Using a Database-Guided, Nonmachine Learning Approach.

ACS infectious diseases Jan 20, 2026

The search for antibiotics is urgent because of the global antibiotic resistance problem. While a variety of strategies are actively sought, interest in antimicrobial peptides persists due to high potency and low chance of resistance development. The... read more

Retinal Coronary Artery Calcium Scoring - A Scalable Tool for Life Insurers.

Journal of insurance medicine (New York, N.Y.) Jan 20, 2026

BACKGROUND.—: Cardiovascular risk estimation for life insurance underwriting relies on risk estimation from conventional metrics: age, sex, smoking status, body mass index, systolic and diastolic blood pressure, total and high-density lipoprotein cho... read more

Bridging Global Disparities in Drug Allergy Through AI-Assisted Training for Non-Specialists: Findings From the Multinational ADAPT-2 Course.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology Jan 20, 2026

BACKGROUND: Mislabelled drug allergy (DA) remains a global public health challenge. A prior randomised trial (ADAPT) demonstrated that an intensive educational course improved DA knowledge and confidence among non-specialists. However, ADAPT was rest... read more

Selecting measures of visual function to classify diabetic retinopathy status: a cross-sectional study.

BMJ open ophthalmology Jan 20, 2026

AIM: To identify combinations of up to three visual function tests with the best performance for classifying diabetic retinopathy (DR) severity stage. To describe in detail the measurements from a comprehensive set of visual function tests. METHODS: ... read more

Humans Diabetic Retinopathy Machine Learning Female Aged Adult Cross-Sectional Studies Male Middle Aged Severity of Illness Index Visual Acuity Tomography, Optical Coherence Macular Edema Visual Fields Vision Tests Contrast Sensitivity

Preoperative Neuroimaging Markers, Clinical Severity Measures, and Shunt Characteristics for Predicting Shunt Revision in Idiopathic Intracranial Hypertension: An Explainable Machine-Learning Study.

AJNR. American journal of neuroradiology Jan 20, 2026

BACKGROUND AND PURPOSE: Surgical shunt placement is a common treatment for idiopathic intracranial hypertension (IIH) but is hampered by high revision rates. Prior predictive models for shunt revision in IIH have overlooked disease-specific neuroimag... read more

Clarifying the stopping rule and clinical value of AI-guided PEG titration for bowel preparation.

Gut Jan 20, 2026

Autoencoders for genomic variation analysis.

Genome research Jan 20, 2026

Modern biobanks are providing numerous high-resolution genomic sequences of diverse populations. In order to account for diverse and admixed populations, new algorithmic tools are needed in order to properly capture the genetic composition of populat... read more

Artificial Intelligence Medical Compendium