AIMC Topic: Artificial Intelligence

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Ethical aspects of artificial intelligence: what urologists need to know.

Current opinion in urology Mar 20, 2025
PURPOSE OF REVIEW: The integration of artificial intelligence in urology presents both transformative opportunities and ethical dilemmas. As artificial intelligence driven tools become more prevalent in diagnostics, robotic-assisted surgeries, and pa...
Urologists Confidentiality Urology Humans Artificial Intelligence
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Artificial Intelligence-Guided Bronchoscopy is Superior to Human Expert Instruction for the Performance of Critical-Care Physicians: A Randomized Controlled Trial.

Critical care medicine Mar 20, 2025
OBJECTIVES: Bronchoscopy in the mechanically ventilated patient is an important skill for critical-care physicians. However, training opportunity is heterogenous and limited by infrequent caseload or inadequate instructor feedback for satisfactory co...
Humans Artificial Intelligence Bronchoscopy Male Simulation Training Critical Care Female Middle Aged Adult Clinical Competence
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Generating accurate sex estimation from hand X-ray images using AI deep-learning techniques: A study of limited bone regions.

Legal medicine (Tokyo, Japan) Mar 20, 2025
Hand bone structure provides valuable features for sex estimation. This research introduces a novel approach using Artificial Intelligence (AI), specifically Convolutional Neural Networks (CNNs), to classify sex from hand X-ray images, focusing on th...
Male Deep Learning Hand Sex Determination by Skeleton Radiography Female Adult Neural Networks, Computer Artificial Intelligence Metacarpal Bones Forensic Anthropology Humans Hand Bones
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AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines.

EBioMedicine Mar 20, 2025
BACKGROUND: Soft-tissue and bone tumours (STBT) are rare, diagnostically challenging lesions with variable clinical behaviours and treatment approaches. This systematic review aims to provide an overview of Artificial Intelligence (AI) methods using ...
Bone Neoplasms Soft Tissue Neoplasms Practice Guidelines as Topic Humans Artificial Intelligence
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Artificial intelligence learns to reason.

Science (New York, N.Y.) Mar 20, 2025
Julia has two sisters and one brother. How many sisters does her brother Martin have? Solving this tiny puzzle requires a bit of thinking. You might mentally picture the family of three girls and one boy and then realize that the boy has three sister...
Male Problem Solving Humans Language Intelligence Artificial Intelligence Thinking Female
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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 ...
Animals Molecular Imaging Humans Artificial Intelligence Neoplasms Positron-Emission Tomography Tomography, X-Ray Computed Monte Carlo Method Magnetic Resonance Imaging Nanostructures
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Generative AI lacks the human creativity to achieve scientific discovery from scratch.

Scientific reports Mar 20, 2025
Scientists are interested in whether generative artificial intelligence (GenAI) can make scientific discoveries similar to those of humans. However, the results are mixed. Here, we examine whether, how and what scientific discovery GenAI can make in ...
Artificial Intelligence Knowledge Discovery Creativity Humans
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Understanding healthcare efficiency-an AI-supported narrative review of diverse terminologies used.

BMC medical education Mar 20, 2025
BACKGROUND: Physicians have become more responsible for pursuing healthcare efficiency. However, contemporary literature uses multiple terminologies to describe healthcare efficiency. To identify which term is best suitable for medical education to e...
Efficiency, Organizational Terminology as Topic Delivery of Health Care Humans Cost-Benefit Analysis Artificial Intelligence
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Artificial intelligence to enhance the diagnosis of ocular surface squamous neoplasia.

Scientific reports Mar 20, 2025
To provide an artificial intelligence (AI) method using in vivo confocal microscopy (IVCM) to differentiate ocular surface squamous neoplasia (OSSN) from other lesions and compare the performance of well-known AI-related solutions. A dataset of 2,774...
Carcinoma, Squamous Cell Humans Deep Learning Artificial Intelligence Microscopy, Confocal Eye Neoplasms
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Large Language Models as Decision-Making Tools in Oncology: Comparing Artificial Intelligence Suggestions and Expert Recommendations.

JCO clinical cancer informatics Mar 20, 2025
PURPOSE: To determine the accuracy of large language models (LLMs) in generating appropriate treatment options for patients with early breast cancer on the basis of their medical records.
Female Breast Neoplasms Middle Aged Retrospective Studies Clinical Decision-Making Large Language Models Decision Making Medical Oncology Humans Artificial Intelligence
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