AI Medical Compendium

TCF-CBM: a three-stage collaborative poisoned sample filtering method based on composite backdoor mechanism.

Scientific reports Apr 24, 2026

Approximation of cumulative infiltration of soils in arid and semi-arid regions.

Scientific reports Apr 24, 2026

Effective management of water resources in arid and semi-arid regions relies on accurate infiltration models to support groundwater recharge, irrigation, and flood control projects. The study includes a comparative analysis of the four machine learni... read more

Integrating visual transformers with biomechanical constraints for action quality assessment in competitive sports.

Scientific reports Apr 24, 2026

Predicting guide dog career success using machine learning and large language models.

Scientific reports Apr 24, 2026

Guide dogs play essential roles in supporting independence and well-being of visually impaired people. High attrition rates underscore the need for more effective early prediction of dog suitability for a guide dog career. This study presents a novel... read more

Transferability of a US claims-based machine learning model for ATTRwt-CM identification: a retrospective evaluation in a German setting.

Scientific reports Apr 24, 2026

Cardiac amyloidosis (CA), a fatal and progressive cardiomyopathy is characterized by amyloid deposition within the myocardium. The main forms of CA include transthyretin amyloidosis (ATTR-CM; distinguished into a hereditary and wildtype form [ATTRv a... read more

Facial emotion-based movie recommendation system using optimized compound scaling neural network with polynomial and RBF kernels.

Scientific reports Apr 24, 2026

Facial Emotion Recognition (FER) has emerged as an important research topic in human-computer interaction (HCI) with advances in machine learning and deep learning. FER is used across various fields, including healthcare, marketing, gaming, education... read more

Generating explainable hypotheses for drug repurposing with graph neural networks.

Scientific reports Apr 24, 2026

Biomedical knowledge discovery increasingly relies on computational tools to uncover patterns in complex datasets, yet generating explainable, evidence-based hypotheses about biological interactions remains challenging. This study introduces XAIPath,... read more

Deep learning-based multimodal radiopathomics for preoperative prediction of lymph node metastasis in papillary thyroid carcinoma.

Scientific reports Apr 24, 2026

Papillary thyroid carcinoma (PTC) exhibits a high incidence and a strong propensity for lymph node metastasis (LNM). Accurate preoperative assessment of LNM is crucial for guiding surgical approaches, but conventional ultrasound exhibits suboptimal s... read more

An interpretable machine learning model for predicting stroke in patients with hypertension: insights from the SPRINT.

Scientific reports Apr 24, 2026

Stroke is a leading cause of mortality worldwide, with hypertension being its most significant risk factor. However, few studies have specifically developed predictive models for stroke risk in hypertensive patients with elevated cardiovascular risk.... read more

A hybrid grey wolf optimized eXtreme gradient boosting-based machine learning model for hospital pharmaceutical demand forecasting.

Scientific reports Apr 24, 2026

Artificial Intelligence Medical Compendium

TCF-CBM: a three-stage collaborative poisoned sample filtering method based on composite backdoor mechanism.

Approximation of cumulative infiltration of soils in arid and semi-arid regions.

Integrating visual transformers with biomechanical constraints for action quality assessment in competitive sports.

Predicting guide dog career success using machine learning and large language models.

Transferability of a US claims-based machine learning model for ATTRwt-CM identification: a retrospective evaluation in a German setting.

Facial emotion-based movie recommendation system using optimized compound scaling neural network with polynomial and RBF kernels.

Generating explainable hypotheses for drug repurposing with graph neural networks.

Deep learning-based multimodal radiopathomics for preoperative prediction of lymph node metastasis in papillary thyroid carcinoma.

An interpretable machine learning model for predicting stroke in patients with hypertension: insights from the SPRINT.

A hybrid grey wolf optimized eXtreme gradient boosting-based machine learning model for hospital pharmaceutical demand forecasting.

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