AIMC Topic: Molecular Imaging
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AI-assisted SERS imaging method for label-free and rapid discrimination of clinical lymphoma.
Journal of nanobiotechnology
Apr 16, 2025
BACKGROUND: Lymphoma is a malignant tumor of the immune system and its incidence is increasing year after year, causing a major threat to people's health. Conventional diagnosis of lymphoma basically depends on histological images consuming long-time...
Nanomaterial-Based Molecular Imaging in Cancer: Advances in Simulation and AI Integration.
Biomolecules
Mar 20, 2025
Nanomaterials represent an innovation in cancer imaging by offering enhanced contrast, improved targeting capabilities, and multifunctional imaging modalities. Recent advancements in material engineering have enabled the development of nanoparticles ...
Spatial recognition and semi-quantification of epigenetic events in pancreatic cancer subtypes with multiplexed molecular imaging and machine learning.
Scientific reports
Feb 22, 2025
Genomic alterations are the driving force behind pancreatic cancer (PC) tumorigenesis, but they do not fully account for its diverse phenotypes. Investigating the epigenetic landscapes of PC offers a more comprehensive understanding and could identif...
Deep Equilibrium Unfolding Learning for Noise Estimation and Removal in Optical Molecular Imaging.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jan 8, 2025
In clinical optical molecular imaging, the need for real-time high frame rates and low excitation doses to ensure patient safety inherently increases susceptibility to detection noise. Faced with the challenge of image degradation caused by severe no...
A deep learning framework combining molecular image and protein structural representations identifies candidate drugs for pain.
Cell reports methods
Sep 27, 2024
Artificial intelligence (AI) and deep learning technologies hold promise for identifying effective drugs for human diseases, including pain. Here, we present an interpretable deep-learning-based ligand image- and receptor's three-dimensional (3D)-str...
Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Dec 1, 2023
The development of artificial intelligence (AI) within nuclear imaging involves several ethically fraught components at different stages of the machine learning pipeline, including during data collection, model training and validation, and clinical u...
The emerging role of artificial intelligence and digital twins in pre-clinical molecular imaging.
Nuclear medicine and biology
Apr 4, 2023
INTRODUCTION: Pre-clinical molecular imaging, particularly with mice, is an essential part of drug and radiopharmaceutical development. There remain ethical challenges to reduce, refine and replace animal imaging where possible.
Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response.
International journal of molecular sciences
Feb 5, 2023
Immunotherapy constitutes a paradigm shift in cancer treatment. Its FDA approval for several indications has yielded improved prognosis for cases where traditional therapy has shown limited efficiency. However, many patients still fail to benefit fro...
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Dec 15, 2022
Trustworthiness is a core tenet of medicine. The patient-physician relationship is evolving from a dyad to a broader ecosystem of health care. With the emergence of artificial intelligence (AI) in medicine, the elements of trust must be revisited. We...
Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation.
European journal of nuclear medicine and molecular imaging
Jul 9, 2022
Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as it will in everyday life. In this review, we focus on the potential applications of AI in the field, both from a physical (radiomics, underlying statistics...
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