Artificial Intelligence Medical Compendium

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

Showing 2,031 to 2,040 of 165,462 articles

Optimizing space heating efficiency in sustainable building design a multi criteria decision making approach with model predictive control.

Scientific reports Jul 30, 2025
Efficient space heating is vital for sustainable building design, offering opportunities to reduce energy consumption and costs while maintaining thermal comfort. This study examines the optimization of space heating in a nearly-zero energy building ... read more 

Decoding Neural Signatures of Semantic Evaluations in Depression and Suicidality

arXiv Jul 30, 2025
Depression and suicidality profoundly impact cognition and emotion, yet objective neurophysiological biomarkers remain elusive. We investigated the spatiotemporal neural dynamics underlying affective semantic processing in individuals with varying ... read more 
Neurons and Cognition Machine Learning Signal Processing

Predicting Engagement With Conversational Agents in Mental Health Therapy by Examining the Role of Epistemic Trust, Personality, and Fear of Intimacy: Cross-Sectional Web-Based Survey Study.

JMIR human factors Jul 30, 2025
BACKGROUND: The use of conversational agents (CAs) in mental health therapy is gaining traction due to their accessibility, anonymity, and nonjudgmental nature. However, understanding the psychological factors driving preferences for CA-based therapy... read more 
Young Adult Adult Humans Female Trust Middle Aged Cross-Sectional Studies Male Fear Adolescent Psychotherapy Surveys and Questionnaires Personality

Rotational, vibrational, conformational and diastereomeric dimer cooling of aminoalcohols in soft supersonic expansions and the monohydrate of dimethylaminoethanol.

Physical chemistry chemical physics : PCCP Jul 30, 2025
Supersonic jet expansions allow to cool molecules and to form molecular complexes over a wide range of expansion conditions, ranging from nearly effusive expansions of the pure vapour to colder expansions in carrier gases. The resulting molecular spe... read more 

Comparing Normalizing Flows with Kernel Density Estimation in Estimating Risk of Automated Driving Systems

arXiv Jul 30, 2025
The development of safety validation methods is essential for the safe deployment and operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to prospectively evaluate the risk of an ADS dealing with real-world traff... read more 
Robotics Machine Learning

Clinician Perspectives of a Magnetic Resonance Imaging-Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2-Related Schwannomatosis: Qualitative Pilot Study.

JMIR human factors Jul 30, 2025
BACKGROUND: Accurate monitoring of tumor progression is crucial for optimizing outcomes in neurofibromatosis type 2-related schwannomatosis. Standard 2D linear analysis on magnetic resonance imaging is less accurate than 3D volumetric analysis, but s... read more 
Surveys and Questionnaires Imaging, Three-Dimensional Humans Pilot Projects Female Neurofibromatoses Magnetic Resonance Imaging Qualitative Research Skin Neoplasms Neurofibromatosis 2 Neurilemmoma

A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Scientific reports Jul 30, 2025
Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. However, sharing sensitive raw medical data with third parties for analysi... read more 
Algorithms Deep Learning Image Processing, Computer-Assisted Confidentiality Neural Networks, Computer Machine Learning Humans Privacy Computer Security

Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning

arXiv Jul 30, 2025
The tension between data privacy and model utility has become the defining bottleneck for the practical deployment of large language models (LLMs) trained on sensitive corpora including healthcare. Differentially private stochastic gradient descent... read more 
Machine Learning Artificial Intelligence Computation and Language

"Screening" for End of Life Using Artificial Intelligence: A Qualitative Study of Palliative Care Team Members' Perspectives on Ethical Use.

Journal of palliative medicine Jul 30, 2025
Artificial intelligence (AI) tools for health care applications are rapidly emerging. Some AI-based prognostic tools can predict patient mortality automatically and with accuracy that outperforms clinicians and other available tools. In palliative c... read more 

Development of a machine learning-based prediction model for serious bacterial infections in febrile young infants.

BMJ paediatrics open Jul 30, 2025
BACKGROUND: To develop and validate machine learning (ML)-based models to predict serious bacterial infections (SBIs) in febrile infants aged ≤90 days. read more 
Bacterial Infections Predictive Value of Tests C-Reactive Protein Fever Retrospective Studies Infant Logistic Models Female Procalcitonin Humans Infant, Newborn Machine Learning Male
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