Latest AI in Medicine Research | AI Medical Compendium

Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI.

Research synthesis methods Jan 9, 2026

Exponential growth in scientific literature has heightened the demand for efficient evidence-based synthesis, driving the rise of the field of automated meta-analysis (AMA) powered by natural language processing and machine learning. This PRISMA syst... read more

Designing Soft Arms with Octopus-Like Dexterity: Insights from Magnetic Resonance Imaging and Finite Element Analysis.

Soft robotics Jan 9, 2026

Octopuses are capable of remarkably intricate movements without a skeletal framework, making them a compelling model for the design of soft robotic arms. While previous research has explored the bending, elongation, and shortening of octopus arms, th... read more

Attention-driven complementary information fusion network for sparse photoacoustic image reconstruction.

Photoacoustics Jan 9, 2026

Photoacoustic tomography (PAT) is an emerging biomedical imaging modality that uniquely combines high spatial resolution with deep tissue penetration in a non-invasive manner, holding significant promise for diverse applications. However, image recon... read more

A Uav-based multisensor framework for legal industrial Cannabis monitoring and open-access dataset development.

Data in brief Jan 9, 2026

Industrial hemp cultivation is expanding and requires reliable monitoring for legal compliance and agricultural management. This paper presents a standardized UAV-based multisensor framework designed for Cannabis sativa L. It integrates RGB, multispe... read more

Lifelong person re-identification via dynamically knowledge adaptation and retention.

Neural networks : the official journal of the International Neural Network Society Jan 9, 2026

Person re-identification aims to match the same individual across non-overlapping camera views. In real-world scenarios, ReID models are expected to continuously learn from newly arriving data while mitigating the catastrophic forgetting problem, nam... read more

CellViT++: Energy-efficient and adaptive cell segmentation and classification using foundation models.

Computer methods and programs in biomedicine Jan 9, 2026

BACKGROUND AND OBJECTIVE: Deep learning-based cell segmentation and classification methods in digital pathology are critical for diagnostics but are hampered by models that require extensive annotated datasets, are computationally expensive, and lack... read more

From Algorithm to Operatory: How Reliable Is Artificial Intelligence in Educating Patients on External Sinus Lifting?

Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons Jan 9, 2026

BACKGROUND: Large language models (LLMs) such as Chat Generative Pre-Trained Transformer (ChatGPT; OpenAI, San Francisco, CA) and Claude (Anthropic, San Francisco, CA) are increasingly used by patients seeking information about surgical procedures, i... read more

MambaFPN: A SSM-based feature pyramid network for object detection.

Neural networks : the official journal of the International Neural Network Society Jan 9, 2026

Object detection is a fundamental task in computer vision, aiming to localize and classify objects within images. Feature pyramid networks (FPNs) play a crucial role in modern object detectors by constructing hierarchical multi-scale feature maps to ... read more

Knowledge-guided multi-geometric window transformer for cardiac cine MRI reconstruction.

Medical image analysis Jan 9, 2026

Magnetic resonance imaging (MRI) plays a crucial role in clinical diagnosis, yet traditional MR image acquisition often requires a prolonged duration, potentially causing patient discomfort and image artifacts. Faster and more accurate image reconstr... read more

Enhanced modeling of chlorine-organic reaction kinetics to assess the fate of environmental chemicals in disinfection process.

Water research Jan 9, 2026

The escalating release of emerging organic contaminants into aquatic systems necessitates rigorous investigation of their reactivity with chlorine, a ubiquitous disinfectant in water treatment. This study establishes the most comprehensive dataset to... read more

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