AI Medical Compendium

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

American journal of ophthalmology Feb 16, 2026

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 catarac... read more

Real-time holographic monitoring of insect cell morphology during baculovirus coinfection for adeno-associated virus vector production using machine learning-based classification models.

New biotechnology Feb 16, 2026

The baculovirus expression vector system (BEVS) is a scalable platform used to produce recombinant adeno-associated virus vectors (rAAV) in insect cells. A major challenge in this system is reducing the formation of empty rAAV capsids, which do not c... read more

Bioinformatics analysis of signature genes associated with anoikis and endoplasmic reticulum stress in keratoconus.

Experimental eye research Feb 16, 2026

PURPOSE: Keratoconus (KC) is a progressive disorder of corneal thinning characterized by responses in the extracellular matrix and cellular interactions. This study used bioinformatics methods to identify key genes involved in KC development and in a... read more

Validation of Dynamic Bayesian Optimization for a Non-Stationary Human-in-the-Loop Optimization Problem.

IEEE robotics and automation letters Feb 16, 2026

Human-in-the-Loop Optimization (HILO) has demonstrated efficacy in achieving a plethora of assistive or augmentative effects. However, conventional optimizers such as Bayesian optimization (BO) do not account for the non-stationary aspects of the hum... read more

Predictors of sensitivity to immune therapies in classic Hodgkin lymphoma.

Blood neoplasia Feb 16, 2026

Immune checkpoint blockade, particularly programmed cell death protein 1 inhibition, has redefined the management of classic Hodgkin lymphoma (cHL), achieving unprecedented efficacy in relapsed/refractory settings. Yet, durable benefit is not univers... read more

Practical Trade-Offs in 3D Cancer Imaging.

Cancer research Feb 16, 2026

Three-dimensional (3D) imaging is increasingly shaping cancer research. This piece highlights key technical considerations when adopting 3D over traditional two-dimensional (2D) imaging methods, emphasizing its unique ability to capture complex and h... read more

Evolving strategies in prostate cancer: Emerging approaches and unmet needs from the Bridging the Gaps in Prostate Cancer expert panel.

Cancer Feb 15, 2026

BACKGROUND: The expansion of treatment options for prostate cancer (PC) has improved disease-specific and overall survival outcomes but has also raised questions about the optimal level of treatment needed for patients based on their individual progn... read more

Fuzzy logic in respiratory medicine: a systematic review of predictive and diagnostic applications.

International journal of medical informatics Feb 15, 2026

BACKGROUND: There is increasing interest in the use of artificial intelligence (AI) to assist with respiratory diagnosis and risk prediction. Fuzzy logic is a form of AI that has the advantage of being transparent and interpretable, compared to alter... read more

Machine learning models for predicting delayed cerebral ischemia following ruptured intracranial aneurysms: A systematic review and meta-analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Feb 15, 2026

BACKGROUND: Delayed cerebral ischemia (DCI) remains a major morbidity and mortality problem following aneurysmal subarachnoid hemorrhage (SAH). Advancements in neurocritical care permit a slow but accurate identification of patients at high risk for ... read more

Artificial intelligence and machine learning applications in dialysis: Current applications, challenges, and future directions.

Clinica chimica acta; international journal of clinical chemistry Feb 15, 2026

Artificial intelligence (AI) and machine learning (ML) applications have emerged as transformative technologies in nephrology, particularly in dialysis care. The availability of multimodal datasets including electronic health records, hemodialysis ma... read more

Artificial Intelligence Medical Compendium