Artificial Intelligence Medical Compendium

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

Showing 4,881 to 4,890 of 203,854 articles

A lightweight deep learning model with channel attention for kidney cell classification from microscopy images.

Scientific reports
Accurate identification of renal cell types within tissue architecture is fundamental for understanding normal kidney physiology and detecting early pathological changes. While traditional histological examination is time-intensive and dependent on e... read more 

Explainable ensemble machine learning for predicting diabetes mellitus and identifying key risk factors: a population-based study in northern Bangladesh.

Scientific reports
Diabetes mellitus (DM) is an escalating global public health concern, with a rapidly increasing burden in low- and middle-income countries, including Bangladesh. Despite its growing prevalence and associated complications such as cardiovascular disea... read more 

Deep learning based histomorphological phenotyping and prognostic stratification for combined SCLC and LCNEC.

NPJ digital medicine
Prognostic stratification for combined small and large cell neuroendocrine lung carcinoma (cSCLC-LCNEC) remains challenging. We introduce GTBIS, an interpretable deep learning model for histomorphological phenotyping and prognostic stratification of ... read more 

Integrating handcrafted and deep learning MRI signatures: an interpretable framework for predicting chemotherapy benefit in glioma.

NPJ precision oncology
The molecular and spatial heterogeneity of gliomas severely limits accurate prediction of postoperative adjuvant chemotherapy efficacy, representing a critical bottleneck in achieving personalized treatment decisions. Conventional imaging assessments... read more 

Automated leukemia detection from microscopic images using deep transfer learning with explainable AI-based analysis.

Scientific reports
Leukemia, a life-threatening hematological malignancy, necessitates early and accurate diagnosis for effective treatment. Traditional microscopic examination is often time-consuming and subjective, while most existing deep learning-based studies are ... read more 

Innovation research on college students' mental health management system based on internet of things technology.

Scientific reports
The mental health management of college students is a challenging process due to its inconsistent variations and action-dependent observations. However, for personal and mental stability and psychological assessment of students, the inconsistent ment... read more 

Analyzing Global Threat of Lumpy Skin Disease Virus Infection: A Comparative Study of a Time Series Model and Machine Learning Models Across 10 High-Risk Countries.

Current microbiology
Lumpy Skin Disease (LSD), caused by the Lumpy Skin Disease Virus (LSDV), which is a part of the family of Poxviridae, subfamily Chordopoxviridae, and genus Capripoxvirus, is a rapidly spreading viral infection impacting mainly cattle globally, causin... read more 

Automated evaluation can distinguish the good and bad AI responses to patient questions about hospitalization.

NPJ digital medicine
Automated approaches to answer patient-posed health questions are rising, but selecting among systems requires reliable evaluation. The current gold standard for evaluating the free-text artificial intelligence (AI) responses-human expert review-is l... read more 

PromptSE: drug side effect prediction with LLM-derived pharmacological representations.

Scientific reports
Predicting drug-side effect associations is vital for drug discovery and patient safety. Accurate prediction requires high-quality representations of both drugs and side effects. While drug representations have advanced due to rich structured data, s... read more 

Machine learning-based discovery of GW3965 as a therapeutic compound against invasive emm92-type group A Streptococcus.

npj antimicrobials and resistance
A multi-drug resistant emm92-type strain of group A Streptococcus (GAS) has emerged as an important causative agent of invasive infections-particularly affecting people who inject drugs-in the United States. To curtail this developing threat, we aime... read more