Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 213,401 articles

Recurrent Sinusoidal INRs for Efficient High-Fidelity Representation

arXiv
We study sinusoidal recurrence as an iterative mechanism for harmonic spectral enrichment in implicit neural representations (INRs). Our analysis reveals that sinusoidal activations induce a harmonic line spectrum, providing a spectral account of how... read more 

Overcoming Liquid Biopsy Barriers: Nucleic Acid Biosensors Integrating DNA Nanotechnology and CRISPR-Cas System for Cancer Precision Theranostics.

ACS sensors
Liquid biopsy holds immense potential for the early detection of cancer, yet its clinical utility is hindered not by the lack of available tumor-associated biomarkers but by the inadequate sensitivity and clinical robustness of current molecular diag... read more 

Battling the Bots and Defending Against Fraudulent Responses in an International Community-Engaged Web-Based Survey With People Living With Long COVID: Methodological Study.

Journal of medical Internet research
BACKGROUND: Web-based surveys involving self-reported questionnaires are vulnerable to fraudulent responses. Advancements in artificial intelligence and bots have introduced additional challenges to preventing and identifying fraudulent responses to ... read more 

Prediction of compost physicochemical properties using image-based feature extraction and machine learning.

Waste management (New York, N.Y.)
This study evaluated standard digital photographs, combined with automated image segmentation and machine learning, to rapidly and non-destructively predict compost physicochemical properties. A total of 230 compost samples were collected from retail... read more 

Prediction of compost physicochemical properties using image-based feature extraction and machine learning.

Waste management (New York, N.Y.)
This study evaluated standard digital photographs, combined with automated image segmentation and machine learning, to rapidly and non-destructively predict compost physicochemical properties. A total of 230 compost samples were collected from retail... read more 

Deep technologies for responsible gambling: A narrative review of policies and implementation strategies.

Journal of behavioral addictions
BACKGROUND AND AIMS: Deep technologies, such as artificial intelligence, blockchain, and behavioural analytics, have emerged as promising tools to address complex social challenges. However, their integration into leisure activities, particularly onl... read more 

Surface-Engineered Carbon Nanotubes Aerogel Sensor Array Enabled AI-Driven Selective Detection of Biomarker VOCs: A Proof-of-Concept in Simulated Humid Mixtures.

ACS sensors
Selective detection and quantitative analysis of biomarker volatile organic compounds (VOCs) in complex gas mixtures remain a major challenge for noninvasive breath diagnostics due to wide concentration variability and strong humidity interference. H... read more 

Clinical Readiness of Artificial Intelligence Models for MB2 Canal Detection in Maxillary Molars: A Scoping Review.

International dental journal
BACKGROUND/OBJECTIVES: The second mesiobuccal (MB2) canal detection in maxillary molars represents a notable challenge in endodontics. This scoping review (SR) attempts to map the existing research on artificial intelligence (AI)-based models in MB2 ... read more 

Self-sufficient killing of malignant tumors by an engineered cancer-selective gene circuit.

Cell reports. Medicine
Gene therapies that selectively eliminate tumor cells within a heterogenous population remain an elusive goal in oncology, largely due to the difficulty to achieve cancer specificity by strict definition. Here, we engineer a therapeutic gene circuit ... read more 

Intraoperative spectral imaging versus ICG fluorescence for gastric conduit viability in esophagectomy.

Surgical endoscopy
BACKGROUND: Anastomotic leakage remains a critical complication following esophagectomy, occurring in 8-20% of patients. While indocyanine green fluorescence imaging (ICG-FI) is commonly used to assess perfusion, it requires dye injection and does no... read more