Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1 to 10 of 224,199 articles

Reply to: Comment on "Artificial Intelligence Fully Automated Analysis of Handheld Echocardiography in Real-World Patients with Suspected Heart Failure".

European journal of heart failure Sep 8, 2026
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Fast activity prediction of chemically modified siRNAs via structure-based energy calculations and inference-augmented tabular deep learning.

Molecular therapy. Nucleic acids Jul 21, 2026
Chemical modification is essential for the clinical application of small interfering RNAs (siRNAs), as it improves their stability and specificity. However, predicting the activity of chemically modified siRNAs remains challenging owing to the scarci... read more 

Enhancing protein expression in humans through codon optimization with transformer and contrastive learning.

Molecular therapy. Nucleic acids Jun 18, 2026
Following the success of COVID-19 vaccines and therapies, mRNA-based therapeutics have attracted significant attention. Codon optimization is crucial for improving translation efficiency and mRNA stability, both of which are necessary for developing ... read more 

[Precision medicine era: a molecular pathological diagnostic pathway for B-cell lymphomas].

Zhonghua bing li xue za zhi = Chinese journal of pathology Sep 8, 2026
The pathological diagnosis of B-cell lymphomas is transitioning from traditional morphologic assessment to a multidimensional model that integrates histomorphology, immunophenotype, and genetic alterations. Establishing a standardized, stepwise clini... read more 

[Precision medicine era: a molecular pathological diagnostic pathway for B-cell lymphomas].

Zhonghua bing li xue za zhi = Chinese journal of pathology Sep 8, 2026
The pathological diagnosis of B-cell lymphomas is transitioning from traditional morphologic assessment to a multidimensional model that integrates histomorphology, immunophenotype, and genetic alterations. Establishing a standardized, stepwise clini... read more 

A machine learning-derived sarcopenia index is associated with survival and nonrelapse mortality in DLBCL.

Blood advances Sep 8, 2026
Body composition analysis (BCA) provides an objective assessment of metabolic states, but its prognostic value in diffuse large B-cell lymphoma (DLBCL) remains unclear. We applied machine learning-supported BCA to computed tomography imaging from pat... read more 

The AI arc and interpretive drift.

Diagnosis (Berlin, Germany) Sep 8, 2026
Artificial intelligence now enters the clinical encounter at three points: before the visit, during clinical reasoning, and after it, when ambient tools generate the note. AI has the potential to adversely influence the diagnostic process at each of ... read more 

The AI arc and interpretive drift.

Diagnosis (Berlin, Germany) Sep 8, 2026
Artificial intelligence now enters the clinical encounter at three points: before the visit, during clinical reasoning, and after it, when ambient tools generate the note. AI has the potential to adversely influence the diagnostic process at each of ... read more 

Risk, Accountability, and the Clinician's Role in the Artificial Intelligence Era.

Annals of internal medicine Sep 8, 2026
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AI at the Bedside: An Argument for a Training Wheels Approach.

Pediatrics Sep 8, 2026
Bedside use of artificial intelligence (AI) platforms is increasingly common. Busy clinicians may welcome these generative AI (Gen AI) tools, which have the potential to streamline many time-consuming tasks and aid in patient care. Trainees may find ... read more 
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