AI Medical Compendium

Using casual inference and machine learning with exposure determinant modeling to identify important workplace controls.

Annals of work exposures and health Jan 21, 2026

OBJECTIVES: Exposure determinant modeling can help industrial hygienists understand where, when, and how to control occupational exposures for their particular work environment. Yet, in practice, the ability to evaluate exposure determinants is degra... read more

AI-driven speech biomarkers for disease diagnosis and monitoring: a systematic review and meta-analysis.

BMJ evidence-based medicine Jan 21, 2026

OBJECTIVE: This study aims to comprehensively review the literature on the use of speech biomarkers in disease diagnosis and monitoring, focusing on recording protocols, speech tasks, speech features and processing algorithms. STUDY DESIGN: Systemati... read more

Artificial Intelligence Versus Radiologist False-Positives on Digital Breast Tomosynthesis Examinations in a Population-Based Screening Program.

AJR. American journal of roentgenology Jan 21, 2026

BACKGROUND. Insights into the nature of false-positive findings flagged by contemporary mammography artificial intelligence (AI) systems could inform the potential use of AI to reduce false-positive recall rates. OBJECTIVE. The purpose of this study ... read more

Linking subjective experience of anxiety to brain function using natural language processing.

Social cognitive and affective neuroscience Jan 21, 2026

Research on anxiety focuses on clinically relevant behaviours and neurophysiological responses, particularly emphasizing recruitment of amygdala, insula, and cingulate cortex. Whether these same circuits instantiate subjective experience of anxiety r... read more

Artificial Intelligence Applications in Thyroid Cancer Care.

The Journal of clinical endocrinology and metabolism Jan 21, 2026

CONTEXT: Artificial intelligence (AI) has created tremendous opportunities to improve thyroid cancer care. EVIDENCE ACQUISITION: We used the "artificial intelligence thyroid cancer" query to search the PubMed database until May 31, 2025. We highlight... read more

Toward automating GRADE classification: a proof-of-concept evaluation of an artificial intelligence-based tool for semiautomated evidence quality rating in systematic reviews.

BMJ evidence-based medicine Jan 21, 2026

BACKGROUND: Evaluation of the quality of evidence in systematic reviews (SRs) is essential for assertive decision-making. Although Grading of Recommendations Assessment, Development and Evaluation (GRADE) affords a consolidated approach for rating th... read more

Evaluating deep learning time series models for PM2.5 forecasting across diverse horizons.

iScience Jan 21, 2026

Air pollution, particularly PM2.5, poses a major health challenge in urban areas such as Chengdu, China, where basin topography and intense emission sources exacerbate pollutant concentrations. This study evaluates four deep-learning time series algo... read more

Integrating thermal liquid biopsy, clinical data, and mass spectrometry for early diagnosis and biomarker discovery in colorectal cancer.

iScience Jan 21, 2026

Early detection of colorectal cancer is essential to improving survival, where yet current diagnostic tools show limited performance. This study aimed to enhance diagnostic accuracy by integrating clinical variables with thermogram profiles obtained ... read more

Integrative analysis identifies lactylation-related biomarkers in sepsis via bioinformatics and machine learning.

Biochemical and biophysical research communications Jan 21, 2026

BACKGROUND: Protein lactylation is a novel post-translational modification driven by lactate and has emerged as a critical link between cellular metabolism and epigenetic regulation in inflammatory diseases, including sepsis. However, a systematic pr... read more

Prospective evaluation of artificial intelligence (AI) in lumbar spine magnetic resonance imaging (MRI) workflow: from deep learning (DL)-enhanced accelerated acquisition to simultaneous vision-language model (VLM)-based automated report generation.

European journal of radiology Jan 21, 2026

OBJECTIVES: To evaluate the diagnostic interchangeability of DL-enhanced accelerated lumbar (L)-spine magnetic resonance imaging (MRI) with conventional imaging and to assess the diagnostic agreement and feasibility of vision-language-model (VLM)-bas... read more

Artificial Intelligence Medical Compendium