Artificial Intelligence Medical Compendium

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

Showing 66,381 to 66,390 of 232,447 articles

The Role of Perioperative Artificial Intelligence in Colon and Rectal Surgery.

Clinics in colon and rectal surgery Dec 31, 2025
Artificial intelligence (AI) is rapidly transforming surgical practice with growing applications in colon and rectal surgery. This review explores perioperative AI tools that assist with operative planning, intraoperative guidance, and outcome optimi... read more 

Preface: Artificial Intelligence in Surgical Research, Education, and Patient Care.

Clinics in colon and rectal surgery Dec 31, 2025
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Artificial Intelligence and Skills Training in Resident Education.

Clinics in colon and rectal surgery Dec 31, 2025
Artificial intelligence (AI) is rapidly transforming surgical education. AI is defined by the characteristics of objectivity, live feedback, and adaptive learning environment and is well suited for mentor-led self-directed learning. AI can be used to... read more 

Automated detection and classification of dental trauma in periapical radiographs using deep learning: a study based on the Andreasen classification.

Oral surgery, oral medicine, oral pathology and oral radiology Dec 31, 2025
OBJECTIVE: The aim of this study was to evaluate the performance of a deep learning (DL) model in automatically identifying dental trauma types on selected periapical radiographs, classified according to the Andreasen system. METHODS AND MATERIALS: S... read more 

Evaluating the efficacy and diagnostic reliability of computer vision artificial intelligence algorithm in automating anatomical classification for second-trimester fetal anomaly ultrasound scans: A prospective cohort study.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Dec 31, 2025
OBJECTIVE: To evaluate the diagnostic accuracy and workflow efficiency of BioticsAI-anatomyUNet-0.1-2022 software in identifying 18 standard fetal anatomical planes during mid-trimester ultrasound, and to assess the influence of maternal body mass in... read more 

Hitting the Bull's AI: Artificial Intelligence-derived Imaging Features and their Association with Outcomes in CT-guided Lung Biopsy, a Retrospective Study.

European journal of radiology Dec 31, 2025
PURPOSE: This study aims to evaluate whether quantitative imaging features analyzed by an artificial intelligence (AI) tool are associated with success rate, histopathological results, and complication risks of CT-guided lung biopsies. METHODS: A ret... read more 

From innovation to implementation: Artificial intelligence in cognitive behaviour therapy training and supervision.

Behaviour research and therapy Dec 31, 2025
Artificial intelligence (AI) can transform mental health care globally by improving the efficiency, consistency, effectiveness and accessibility of training and supervision in evidence-based psychotherapies, including cognitive and behavioral therapi... read more 

ChatGPT-5-Based large language model analysis versus an FDA-approved AI-CAD system for thyroid nodule ultrasound evaluation.

European journal of radiology Dec 31, 2025
PURPOSE: Recent advances in multimodal large language models (LLMs) have demonstrated promising potential for medical image analysis, yet their diagnostic capability in thyroid ultrasound remains unverified. This study explored the feasibility of Cha... read more 

Revolutionizing early detection of TNBC: The rise of non-invasive biomarkers and next-gen diagnostic strategies.

Critical reviews in oncology/hematology Dec 31, 2025
Triple negative breast cancer (TNBC) is the most malignant subtype of breast cancer (BC), which accounts for 10-20 % of BC incidences, and its early diagnosis is pivotal to curing the disease. Tissue biopsies, surgical biopsies, and needle biopsies, ... read more 

Developing machine learning classifiers for carbapenem resistance prediction in Klebsiella pneumoniae using Google's teachable machine.

Journal of microbiological methods Dec 31, 2025
We developed neural network models trained with images from Klebsiella pneumoniae genomes, encoded via Chaos Game Representation, to predict carbapenem resistance. Both real (n = 168) and synthetic AI-generated (n = 200) images were used. The best-pe... read more 
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