Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 216,627 articles

Integrative cfDNA profiling from low-pass whole-genome sequencing enables tissue-of-origin prediction in cancer.

Molecular biomedicine
Cancer type classification is challenging due to tumor heterogeneity and undefined tissue of origin (TOO), particularly in cancers of unknown primary (CUP) and multiple primary cancers (MPC). Accurate TOO identification is critical for guiding treatm... read more 

Prognostic risk modeling based on integrated multi-omics analysis identifies CRY2 as a key regulator in tumor immunity and patient survival in colorectal cancer.

Annals of medicine
BACKGROUND: Colorectal cancer (CRC) exhibits substantial metabolic heterogeneity. This study developed a robust prognostic signature integrating ferroptosis- and lipid metabolism-related genes to investigate the role of CRY2 in CRC progression. METHO... read more 

Beyond Diagnosis: Magnetic Resonance Imaging-Based Imaging Biomarkers for Tumor Biology, Prognosis, and Clinical Decision-Making in Hepatocellular Carcinoma.

Korean journal of radiology
Hepatocellular carcinoma (HCC) is a biologically heterogeneous malignancy staged according to tumor burden and clinical status. Molecular and histopathologic factors remain unincorporated into current staging systems, as they are usually unavailable ... read more 

AfriTickID: An AI-Assisted Image-Based Approach for Tick Species Identification in Kenya.

Acta tropica
Tick-borne diseases such as Lyme disease, tick-borne encephalitis and Crimean-Congo haemorrhagic fever in humans, and East Coast Fever and anaplasmosis in animals, pose a significant threat to public and veterinary health. Knowing where tick species ... read more 

CCTA without ECG Leads Using Whole-Heart Motion Correction Algorithm Based on Wide-Detector CT.

Academic radiology
PURPOSE: This study evaluates the impact of a whole heart motion correction algorithm on image quality and interpretability in coronary computed tomography angiography (CCTA) without ECG leads. MATERIALS AND METHODS: Seventy patients with acute chest... read more 

AI-Empowered Nuclear Medicine Education, Part 3: Practical AI Applications for Learners.

Journal of nuclear medicine technology
Expanding clinical volumes, evolving radiopharmaceuticals, and new imaging technologies shape the training environment for nuclear medicine (NM) learners. Additionally, artificial intelligence (AI) tools are increasingly available. These tools can dr... read more 

Training in internal medicine in the age of artificial intelligence.

Revista clinica espanola
Artificial intelligence (AI) is transforming knowledge management in medicine, with a radical impact on training and the acquisition of professional skills. This review aims to guide and optimise the use of AI in the training of internal medicine res... read more 

From anxiety to adaptation: A study on the relationship between college students' AI interaction experience and mental health in higher education.

Acta psychologica
In addition to the successful application of technology in empowering education through generative artificial intelligence, there may be certain dangers posed to the mental well-being of college students due to their pressure to adapt to technology. ... read more 

Hair neuroendocrine signatures of acute stress reaction symptoms: Cross-national validation and latent profile heterogeneity.

Journal of affective disorders
The Acute Stress Reaction (ASR) involves transient emotional, somatic, cognitive, and behavioral symptoms after stressful exposure. Acute stress engages neuroendocrine responses and endocannabinoid systems (ECS), yet their joint links to multidimensi... read more