Artificial Intelligence Medical Compendium

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

Showing 66,831 to 66,840 of 232,511 articles

Neural correlates of child temperament: The role of brain network connectivity in psychopathology risk.

Journal of child psychology and psychiatry, and allied disciplines
BACKGROUND: Early temperament has been shown to predict socioemotional outcomes, but its neural correlates are not yet fully understood. In the current study, we investigated the relationship between early temperament and neuronal network functional ... read more 

Accuracy and Completeness of AI Chatbot Responses for Leopard Gecko (Eublepharis macularius) Husbandry: An Exploratory Comparison of ChatGPT-4o and Gemini 2.5 Pro.

Journal of applied animal welfare science : JAAWS
Large Language Models (LLMs) like OpenAI's ChatGPT-4o and Google's Gemini 2.5 Pro are increasingly used to retrieve care advice on specialized topics including exotic pet husbandry, raising concerns about accuracy and animal welfare. This study, to o... read more 

Machine Learning- and AI-Driven QSAR Models for the Discovery of Novel Potential Fungicides: FAPI (Fungicide Targeting Acid Phosphatase Inhibition).

Journal of agricultural and food chemistry
Fungal pathogens like Podosphaera xanthii (powdery mildew) and Botrytis cinerea (gray mold) cause significant agricultural losses, with fungicide resistance escalating due to the overreliance on conventional treatments. Consequently, the development ... read more 

Risk Prediction for Delayed Bleeding After Endoscopic Submucosal Dissection in Colorectal Precancerous Lesions Using Artificial Intelligence: Retrospective Clinical Trial.

Diseases of the colon and rectum
BACKGROUND: Delayed bleeding is a common complication after endoscopic submucosal dissection. OBJECTIVE: Our study aimed to assess risk factors for delayed bleeding after endoscopic submucosal dissection in patients with colorectal precancerous lesio... read more 

Tracking changes in pharmacy students' engagement with ChatGPT: A comparative cross-sectional study (2023-2024).

Currents in pharmacy teaching & learning
INTRODUCTION: Since its launch, ChatGPT has generated both interest and concern in education. Between 2023 and 2024, institutional policies shifted from restrictive to conditional use, increasing student exposure. This cross-sectional study compared ... read more 

Self-assembling protein cages: from coiled-coil module to machine learning-driven de novo design of next-generation biomaterials.

Materials advances
The rational design of self-assembling protein nanocages holds great promise for synthetic biology, biotechnology and biomedical applications. Protein nanocages are well-defined nanoparticles with an inner cavity formed by self-assembly of repetitive... read more 

Bioinformatic applications in blood group molecular typing.

Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis
The application of molecular laboratory methods to predict the expression of red blood cell antigens is well established in today's clinical transfusion practice. The advent of high-throughput molecular blood typing approaches - based on microarray, ... read more 

Automatic and precise segmentation of gas chromatographic peaks by temporal semantic segmentation for prolonged monitoring of volatile organic compounds.

Journal of chromatography. A
Long-term continuous monitoring of volatile organic compounds (VOCs) is essential for atmospheric pollution control, environmental health assessment, and climate change mitigation. Gas chromatography (GC) serves as the primary analytical technique fo... read more 

Integrating landscape "source-transport-sink" mechanisms into GeoAI to enhance surrogate modeling of watershed nutrient loads.

Water research
Accurate prediction and effective management of watershed nitrogen (N) and phosphorus (P) loads remain critical challenges in controlling non-point source (NPS) pollution. Most surrogate models rely primarily on land-use variables, overlooking the in... read more