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Prediction of 9 Artificial Intelligence-based Intraocular Lens Power Calculation Formulas in Long Caucasian Eyes.

PURPOSE: To compare accuracy of nine artificial intelligence (AI)- based intraocular lens (IOL) power calculation formulas in eyes with axial length > 26 mm. DESIGN: Retrospective accuracy and validity analysis. SUBJECTS: Myopic patients with cataract who underwent uneventful phacoemulsification with in-the-bag implantation of a PARTIAL - RoF narrow IOL in MW-med Eye Center, Krakow, Poland; or in ...

AI-assisted video analysis of the Trendelenburg test: a feasibility study.

The Trendelenburg test is widely used to assess hip abductor function, but interpretation is typically subjective and only moderately reliable. Compensatory trunk lean can mask subtle pelvic drop, further limiting diagnostic accuracy. Artificial intelligence (AI) based markerless motion analysis allows objective quantification of pelvic, trunk, and knee angles using standard video recordings. This...

Agreement between digitally predicted and clinically verified occlusal contacts in computer-aided design and computer-aided manufacture (CAD-CAM) occlusal devices: A cross-sectional study.

STATEMENT OF PROBLEM: The growing adoption of digital workflows and artificial intelligence (AI)-assisted design has revolutionized occlusal device fa...

Survival After Left Ventricular Assist Device: A Society of Thoracic Surgeons National Intermacs Database Risk Model Assessment.

BACKGROUND: Several Left Ventricular Assist Device (LVAD) risk models exist however, currently there is only one LVAD available, therefore we assessed...

Effect of Brain-Computer Interface-Controlled Ankle Robot Training on Post-Stroke Motor Rehabilitation and Resting QEEG Neuroplasticity: A Randomized Controlled Trial.

BACKGROUND: Persistent post-stroke ankle impairment hinders functional recovery. Brain-computer interface (BCI)-controlled ankle robot show rehabilita...

Deep Learning and Machine Learning for Differentiation Between Contrast Extravasation and Hemorrhagic Transformation in Post-Thrombectomy Stroke CT.

BACKGROUND: Mechanical thrombectomy (MT) improves outcomes in acute ischemic stroke (AIS) but often results in hyperdensities on non-contrast CT (NCCT...

Artificial intelligence to improve the detection and risk stratification of acute pulmonary embolism (AID-PE): protocol for a pragmatic quasi-experimental comparator study.

INTRODUCTION: Pulmonary embolism (PE) is a potentially fatal condition requiring timely diagnosis and treatment. CT pulmonary angiography (CTPA) is th...

Enhancing dental clinical education through AI: insights into post-clinical summaries.

BACKGROUND: Artificial Intelligence (AI) is increasingly being introduced into clinical education, including dentistry, as a supplement to traditional...

Predicting health-related quality of life two years post-diagnosis across seven cancer types: using machine learning to identify vulnerable patients.

PURPOSE: Cancer survivors often experience long-term consequences affecting their Health-Related Quality of Life (HRQoL). Sociodemographic factors, cl...

Coded Event Focal Stack for Continuous Refocusing in Dynamic Scene.

Traditional cameras face limitations in maintaining focus across dynamic scenes, especially during rapid motion, due to the constraints of their lense...

Guideline-based, but not error-free: Multilingual risks in AI-powered patient counseling on gallstones.

BACKGROUND: Patients increasingly use large language models (LLMs) for health information, yet the guideline concordance and safety of patient-facing ...

Recognizing EEG responses to active TMS vs. sham stimulations in different TMS-EEG datasets: A machine learning approach.

Transcranial Magnetic Stimulation with simultaneous Electroencephalogram (TMS-EEG) allows for the assessment of neurophysiological properties of corti...

Phenotypic clustering of cardiovascular risk profiles in systemic lupus erythematosus.

ObjectiveThis study aimed to identify distinct cardiovascular risk phenotypes in systemic lupus erythematosus (SLE) using an unsupervised cluster anal...

Commercially Available Artificial Intelligence Score on Preoperative Mammography for Prediction of Future Breast Cancer After DCIS Treatment.

Background: Mammographic artificial intelligence (AI) systems have been explored for future breast cancer risk prediction. Objective: To investigate a...

Computerized Self-Reported Medical History Taking to Support Early Rule Out of Major Adverse Cardiac Events in Patients With Acute Chest Pain: Post Hoc Analysis of the CLEOS-CPDS Prospective Cohort Study.

BACKGROUND: Self-reported, computerized history taking (CHT) may enable efficient collection of medical histories for acute chest pain management. OBJ...

Biosimilar stewardship at the interface of disproportionality methods and AI integration: current evidence and potential strategies.

INTRODUCTION: Biosimilar stewardship includes safety, appropriate use, and value. However, it faces challenges due to shortages in disproportionality ...

The human metabolome and machine learning improves predictions of the post-mortem interval.

An accurate prediction of the time since death, known as the post-mortem interval, remains a critical research question in forensic and police investi...

Rethinking multivariate modeling in long-term forecasting: an efficient univariate framework with power decomposition and post-Calibration.

Long-term time series forecasting (LTSF) is critical to industrial applications. While recent advances mainly focus on modeling complex multivariate i...

Practical machine learning model for early and accurate prediction of disseminated intravascular coagulation before its progression to an overt stage.

BACKGROUND AND AIMS: In patients with sepsis, anticoagulant therapy is expected to have maximal efficacy when administered before the development of s...

Hemodynamics-driven magnetoelastic vascular grafts for stenosis diagnosis.

Conventional approaches for vascular graft stenosis diagnostics, including X-ray angiography, magnetic resonance imaging and Doppler ultrasound, altho...