AI Medical Compendium

Parameter-Efficient Contrastive Language-Image Pre-training (CLIP) Adaptation for Few-Shot Anomaly Detection in Ultra-Widefield Fundus Images.

Photodiagnosis and photodynamic therapy Apr 9, 2026

Fundus diseases are among the leading causes of visual impairment and blindness, many of which could be prevented through early intervention. Ultra-widefield fundus (UWF) imaging, offering a wide field of view and enabling non-mydriatic acquisition, ... read more

Comprehensive Assessment of Artificial Intelligence as a Stand-alone tool for Cervical Cancer Screening Using a 50% Negative Cutoff Value.

Laboratory investigation; a journal of technical methods and pathology Apr 9, 2026

PURPOSE: An emerging application of artificial intelligence (AI) in cervical cytology is its use as an independent screener for triaging cases that do not require human review. The aim of this study was to assess the possibility of clinical practise.... read more

Thrombosis after surgical splenectomy - why, in whom and can we prevent it?

Thrombosis research Apr 9, 2026

Splenectomy remains a common operation performed in the setting of trauma, haematological disease, malignancy and diagnostic purposes. Contemporary evidence indicates an increased risk of thromboembolism after splenectomy. This includes both systemic... read more

Efferocytosis-related biomarkers and immune infiltration in pancreatic ductal adenocarcinoma based on single-cell sequencing and machine learning: a comprehensive bioinformatics analysis and experimental validation.

Biochemical and biophysical research communications Apr 9, 2026

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly invasive and lethal malignancy, with its complex tumor microenvironment (TME) severely limiting therapeutic efficacy. Efferocytosis, a key process by which macrophages clear apoptotic ce... read more

Dynamic Surveillance of the Cardiovascular Risk and Identification of Treatment Responders in Type 2 Diabetes Using A Machine Learning-Based Model.

European journal of preventive cardiology Apr 9, 2026

AIMS: To establish a model to predict cardiovascular risk and identify treatment response for patients with type 2 diabetes. METHODS: Data from 11677 patients without prior cardiovascular disease across four clinical trials: ACCORD and CANVAS (80% fo... read more

Identifying treatment response classes to transcranial direct current stimulation (tDCS) from daily ecological momentary assessment (EMA) patterns in patients with depression.

The international journal of neuropsychopharmacology Apr 9, 2026

IMPORTANCE: Transcranial direct current stimulation (tDCS) is known to be promising for depression, but heterogeneity across studies highlights the need for strategies to optimize treatment effectiveness. Identifying distinct response patterns based ... read more

Characterizing Middle-aged and Older Adults' Perceptions of the Cultural Sensitivity and Quality of Generative Artificial Intelligence-authored Text Messages to Promote Physical Activity.

The journals of gerontology. Series B, Psychological sciences and social sciences Apr 9, 2026

OBJECTIVE: Generative artificial intelligence (GenAI) could be used to write text message content in physical activity behavior change interventions for middle-aged and older adults. Yet, biases in GenAI systems could lead to culturally insensitive o... read more

MIFE and MIFD: Minimum information for fermentation experiments and devices.

GigaScience Apr 9, 2026

BACKGROUND: As the technological advancements of the early 21st century are pushing industrial biotechnology (IB) into the realm of Big Data driven innovation, the requirement for trustworthy data management, annotation and standardization is emergin... read more

Electronic health record-based prediction models for dementia detection: a systematic review of model performance and quality.

Journal of the American Medical Informatics Association : JAMIA Apr 9, 2026

OBJECTIVES: Leveraging routine electronic health records (EHR) for dementia detection is a growing field, but quality and clinical utility of existing models are unclear. This systematic review aimed to evaluate performance, methodological quality, a... read more

OncoEducate: A Pilot Study of Generative AI to Enhance Patient-Clinician Communication in Genitourinary Cancer Care.

The oncologist Apr 9, 2026

OncoEducate is a clinician-supervised generative artificial intelligence (AI) application designed to deliver standardized, regimen-level, plain-language education at the point of care. We developed a templated handout generator using a locked prompt... read more

Artificial Intelligence Medical Compendium