AI Medical Compendium

ChatGPT, Gemini, and Claude in clinical and dermoscopic image analysis of basal cell carcinoma and its common mimickers: A comparative performance analysis.

JID innovations : skin science from molecules to population health Feb 28, 2026

Basal cell carcinoma (BCC) is the most common skin cancer. Off-the-shelf multimodal large language models are widely accessible, yet their performance for BCC remains unclear. The aim of this study was to assess BCC detection (BCC vs non-BCC) and BCC... read more

Predicting seizure-free outcomes in people with treatment-resistant epilepsy: A machine learning approach.

Epilepsy research Feb 28, 2026

BACKGROUND: Epilepsy surgery is an important intervention for treatment-resistant epilepsy, butthe ability to predict long-term seizure freedom post-surgery has yet to be achieved. Machine learning (ML) models could improve outcome prediction by anal... read more

Identification and validation of key PANoptosis-related genes via integrative machine learning and single-cell sequencing in AILI.

iScience Feb 28, 2026

Acetaminophen (APAP) overdose is a leading cause of drug-induced liver injury and acute liver failure. PANoptosis, a recently defined form of programmed cell death, is closely linked to immune regulation; however, its role in APAP-induced liver injur... read more

Multidimensional cfRNA response modeling identifies a 5-gene pair signature for high-robust pulmonary tuberculosis diagnosis.

iScience Feb 28, 2026

Lack of non-invasive biomarkers hinders pulmonary tuberculosis (PTB) management. We developed a multidimensional machine learning framework to systematically evaluate five cell-free RNA (cfRNA)-derived host response modalities: immune cell infiltrati... read more

Predictors of short-term, relapse-independent progression in multiple sclerosis: A machine learning approach based on clinical data and conventional MRI-derived features.

Journal of the neurological sciences Feb 28, 2026

BACKGROUND: Progression independent of relapse activity (PIRA) contributes to long-term disability in multiple sclerosis (MS), even in early stages. However, predicting short-term PIRA in routine clinical settings remains a challenge. OBJECTIVES: To ... read more

In silico neuronal morphology classification: A systematic review.

Neuroscience Feb 28, 2026

Advances in connectomics and the characterization of neuronal diversity have been fundamental to understanding how the brain works. Defining a taxonomy is still challenging and requires complex computational methods. In this paper, we present a syste... read more

Artificial intelligence robots for mental health applications: a scoping review.

Psychiatry research Feb 28, 2026

BACKGROUND: The contradiction between the surging demand for mental health services and the shortage of professional resources is becoming increasingly prominent. Artificial intelligence robots are a promising tool for digital mental health intervent... read more

Multi-modal deep learning model for predicting recurrence of moderately severe and severe acute pancreatitis.

European journal of radiology Feb 28, 2026

PURPOSE: To overcome the limitations of single-modality predictors by developing and validating a multimodal model (APNet) that integrates clinical factors and contrast-enhanced CT features to predict recurrence of moderate-to-severe acute pancreatit... read more

Multimodal medical endoscopic image analysis via progressive disentangle-aware contrastive learning.

Medical image analysis Feb 28, 2026

Accurate segmentation of laryngo-pharyngeal tumors is crucial for precise diagnosis and effective treatment planning. However, traditional single-modality imaging methods often fall short of capturing the complex anatomical and pathological features ... read more

A physically constrained proxy framework considering a process-aware gating mechanism for urban flood simulation.

Water research Feb 28, 2026

Urban pluvial flooding is driven by complex interactions between drainage overflows, rainfall patterns, and multi-scale hydrological memory. Existing data-driven surrogate models often rely on instantaneous forcing, failing to capture the cumulative ... read more

Artificial Intelligence Medical Compendium