Artificial Intelligence Medical Compendium

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

Showing 63,541 to 63,550 of 230,801 articles

Machine learning-based typing of Clostridium botulinum group III by FT-IR spectroscopy.

Microbiology spectrum Jan 15, 2026
This study aimed to investigate the utility of Fourier-Transform Infrared Spectroscopy (FT-IRS) for differentiating Clostridium botulinum (C. botulinum) based on its botulinum neurotoxin (BoNT)-encoding gene type and its potential as an epidemiologic... read more 

Future Prospects for Using Clinical Phenotypes in Tuberculosis Precision Medicine-An Approach for Clinical Management.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Jan 15, 2026
Developing shorter treatment regimens for tuberculosis requires careful characterization of the clinical phenotype, which is defined by patient characteristics, radiological extent of disease, mycobacterial burden, drug susceptibility, and host respo... read more 

Discussion of Predicting Pediatric Surgical Case Duration Using Machine Learning: Leveraging Team Dynamics and Case Flow Attributes.

Journal of the American College of Surgeons Jan 15, 2026
read more 

It Is Time to Move Beyond Task-Specific Critical Care Prediction Models and Prioritize a Foundation Model Built on Continuous Physiological Data.

Critical care medicine Jan 15, 2026
read more 

Foundation Models Have Yet to Demonstrate Feasibility, Safety, or Effectiveness for Data Analysis or Decision Support in the ICU.

Critical care medicine Jan 15, 2026
read more 

From observation to understanding: A multi-agent framework for smart microscopy.

Journal of microscopy Jan 15, 2026
Smart microscopy represents a paradigm shift in biological imaging, moving from passive observation tools to active collaborators in scientific inquiry. Enabled by advances in automation, computational power, and artificial intelligence, these system... read more 

Application of deep learning on MRI for prognostic prediction in rectal cancer.

European radiology Jan 15, 2026
OBJECTIVES: Pretreatment MRI was employed to develop and validate a combined model integrating clinical features with deep learning for rectal cancer. MATERIALS AND METHODS: We retrospectively collected 458 patients from three hospitals and followed ... read more 

TomoRay cranial: synthesis of cranial CT imaging from biplanar radiographs using a generative adversarial network.

European radiology Jan 15, 2026
OBJECTIVES: Besides clinical examination, cranial CT plays a critical role in diagnostics in neurosurgery. In trauma cases or perioperatively, having low-barrier access to CT-like imaging would be highly beneficial. Therefore, this feasibility study ... read more 

Stratifying amyloid burden in early Alzheimer's disease using cascaded attention-guided vision transformer using [¹⁸F]Florbetapir PET.

European radiology Jan 15, 2026
OBJECTIVES: This study aims to develop a deep learning model to assist physicians in accurately classifying negative, equivocal, and positive β-amyloid (Aβ) deposition stages in Alzheimer's disease (AD). MATERIALS AND METHODS: 1327 subjects from two ... read more 

[Responsible use of AI and robotics in medicine : Opportunities, challenges and perspectives for otorhinolaryngology].

HNO Jan 15, 2026
Artificial intelligence (AI) and robotics are transforming the foundations of medical practice. Their integration creates new opportunities for precision, individualization and efficiency but also raises fundamental ethical questions about knowledge,... read more 
Popular Topics
Recent Journals