AI Medical Compendium

Protein and ligand novelty in drug-target interaction prediction: a dual-encoder fusion strategy for more interpretable and generalizable modeling.

BMC bioinformatics Apr 22, 2026

Predicting drug-target interactions (DTIs) is a fundamental task in computational drug discovery, where reliable generalization to novel compounds and protein targets is essential for practical virtual screening and drug repurposing. However, most de... read more

A hybrid ensemble approach: fusing ANFIS, LSTM, and LSSVM with PSO for enhanced influenza a forecasting.

BMC infectious diseases Apr 22, 2026

Enhancing mesenteric vascular imaging with dual-energy CTA: a comparison of DLIR and ASIR-V using low contrast agent and low radiation dose protocols.

BMC medical imaging Apr 22, 2026

BACKGROUND: Timely diagnosis of mesenteric vascular diseases, especially acute mesenteric ischemia (AMI) due to embolism in the superior mesenteric artery (SMA), is crucial for effective intervention. Dual-energy computed tomography angiography (DE-C... read more

Comparative evaluation of obesity-related indices for predicting incident hypertension: evidence from Chinese and UK longitudinal cohorts with machine learning interpretation.

BMC cardiovascular disorders Apr 22, 2026

Artificial intelligence-assisted quality assessment of mid-trimester ultrasound examinations using large vision-language models.

BMC pregnancy and childbirth Apr 22, 2026

Deep learning prediction of contrast extravasation versus intracranial hemorrhage after thrombectomy in patients with acute stroke.

BMC medical imaging Apr 22, 2026

Calculation and evaluation of the effective withdrawal time of colonoscopy on the basis of internimage.

BMC gastroenterology Apr 22, 2026

Machine learning classification of cycloplegic refractive status in children and adolescents using non-cycloplegic data across ten provincial-level administrative divisions.

BMC medical informatics and decision making Apr 22, 2026

Computational pathology-based artificial intelligence platform for the identification of common oral potentially malignant disorders.

BMC oral health Apr 22, 2026

The combined impact of social isolation and unhealthy risk score on mortality risk: a study from two prospective cohorts.

BMC public health Apr 22, 2026

Artificial Intelligence Medical Compendium

Protein and ligand novelty in drug-target interaction prediction: a dual-encoder fusion strategy for more interpretable and generalizable modeling.

A hybrid ensemble approach: fusing ANFIS, LSTM, and LSSVM with PSO for enhanced influenza a forecasting.

Enhancing mesenteric vascular imaging with dual-energy CTA: a comparison of DLIR and ASIR-V using low contrast agent and low radiation dose protocols.

Comparative evaluation of obesity-related indices for predicting incident hypertension: evidence from Chinese and UK longitudinal cohorts with machine learning interpretation.

Artificial intelligence-assisted quality assessment of mid-trimester ultrasound examinations using large vision-language models.

Deep learning prediction of contrast extravasation versus intracranial hemorrhage after thrombectomy in patients with acute stroke.

Calculation and evaluation of the effective withdrawal time of colonoscopy on the basis of internimage.

Machine learning classification of cycloplegic refractive status in children and adolescents using non-cycloplegic data across ten provincial-level administrative divisions.

Computational pathology-based artificial intelligence platform for the identification of common oral potentially malignant disorders.

The combined impact of social isolation and unhealthy risk score on mortality risk: a study from two prospective cohorts.

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