Artificial Intelligence Medical Compendium

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

Showing 2,741 to 2,750 of 167,235 articles

IMoRe: Implicit Program-Guided Reasoning for Human Motion Q&A

arXiv Aug 4, 2025
Existing human motion Q\&A methods rely on explicit program execution, where the requirement for manually defined functional modules may limit the scalability and adaptability. To overcome this, we propose an implicit program-guided motion reasonin... read more 
Computer Vision and Pattern Recognition

CAPO: Towards Enhancing LLM Reasoning through Verifiable Generative Credit Assignment

arXiv Aug 4, 2025
Reinforcement Learning with Verifiable Rewards (RLVR) has improved the reasoning abilities of Large Language Models (LLMs) by using rule-based binary feedback, helping to mitigate reward hacking. However, current RLVR methods typically treat whole ... read more 
Machine Learning Artificial Intelligence Computation and Language

Adaptive-learning physics-assisted light-field microscopy enables day-long and millisecond-scale super-resolution imaging of 3D subcellular dynamics.

Nature communications Aug 4, 2025
Long-term and high-spatiotemporal-resolution 3D imaging of living cells remains an unmet challenge for super-resolution microscopy, owing to the noticeable phototoxicity and limited scanning speed. While emerging light-field microscopy can mitigate t... read more 
Humans Deep Learning Imaging, Three-Dimensional HeLa Cells Endoplasmic Reticulum Mitochondrial Dynamics Mitochondria Microscopy Lysosomes

Impaired sensory-motor integration in children with attention-deficit/hyperactivity disorder during visual search.

Journal of child psychology and psychiatry, and allied disciplines Aug 4, 2025
OBJECTIVE: Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in school-age children. Abnormal sensory-motor integration, such as concurrent visuomotor selection, is a prominent feature of ADHD. However, underlyin... read more 

HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research

arXiv Aug 4, 2025
The efficacy of AI agents in healthcare research is hindered by their reliance on static, predefined strategies. This creates a critical limitation: agents can become better tool-users but cannot learn to become better strategic planners, a crucial... read more 
Artificial Intelligence Computation and Language Machine Learning Multiagent Systems

Stakeholder Perspectives on Humanistic Implementation of Computer Perception in Healthcare: A Qualitative Study

arXiv Aug 4, 2025
Computer perception (CP) technologies (digital phenotyping, affective computing and related passive sensing approaches) offer unprecedented opportunities to personalize healthcare, but provoke concerns about privacy, bias and the erosion of empathi... read more 
Human-Computer Interaction Artificial Intelligence Computers and Society

YOLOv1 to YOLOv11: A Comprehensive Survey of Real-Time Object Detection Innovations and Challenges

arXiv Aug 4, 2025
Over the past decade, object detection has advanced significantly, with the YOLO (You Only Look Once) family of models transforming the landscape of real-time vision applications through unified, end-to-end detection frameworks. From YOLOv1's pione... read more 
Computer Vision and Pattern Recognition

The relationship between clinical subtypes, prognosis, and treatment in ICU patients with acute cholangitis using unsupervised machine learning methods.

BMC infectious diseases Aug 4, 2025
BACKGROUND: Acute cholangitis (AC) presents with significant clinical heterogeneity, and existing severity classifications have limited prognostic value in critically ill patients. Subtypes of AC in critically ill patients have not been investigated. read more 
Acute Disease Cholangitis Female Aged Middle Aged Unsupervised Machine Learning Male Retrospective Studies Critical Illness Intensive Care Units Humans Prognosis

Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.

The Analyst Aug 4, 2025
Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for preventing the progression of diabetes to complications. In this study, gas chromatography-mass spectrometry (GC-MS) analysis and statistical methods wer... read more 
Breath Tests Exhalation Diabetes Complications Volatile Organic Compounds Gases Butadienes Hemiterpenes Male Middle Aged Support Vector Machine Gas Chromatography-Mass Spectrometry Diabetes Mellitus, Type 2 Biomarkers Female Aged Humans Machine Learning

Prediction of protein-protein interaction based on interaction-specific learning and hierarchical information.

BMC biology Aug 4, 2025
BACKGROUND: Prediction of protein-protein interactions (PPIs) is fundamental for identifying drug targets and understanding cellular processes. The rapid growth of PPI studies necessitates the development of efficient and accurate tools for automated... read more 
Deep Learning Computational Biology Protein Interaction Mapping
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