BACKGROUND: Generative artificial intelligence (GenAI) is rapidly expanding in higher education and clinical practice. However, its use during clinical placements, where cognitive demands and responsibility for patient care increase, remains insuffic... read more
BACKGROUND: Multimodal large language models (MLLMs) capable of integrating visual and textual information represent a promising advancement for clinical applications requiring image interpretation. Wound care assessment, which demands simultaneous a... read more
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Apr 27, 2026
Artificial intelligence (AI) has the potential of reshaping GI oncology by enabling more nuanced interpretation of complex clinical, imaging, and molecular data, while supporting more timely and patient-centered decisions. This article synthesizes pe... read more
BACKGROUND: Depression affects more than 300 million people worldwide and is a leading contributor to the global disease burden. Traditional diagnostic methods, such as structured clinical interviews, are reliable but impractical for frequent or larg... read more
BACKGROUND: Cardiovascular magnetic resonance (CMR) is widely used across various cardiac conditions and systematically assesses cardiac anatomical structures and functional dynamics. Machine learning (ML) can accurately predict outcomes and understa... read more
BACKGROUND: Generative artificial intelligence models, especially reasoning large language models (LLMs), are gaining adoption in health care for diagnostic decision support and medical education. DeepSeek R1 is a reasoning LLM that generates extende... read more
Lung ultrasound (LUS) is increasingly utilized for diagnosing pediatric pneumonia due to its bedside accessibility, radiation-free nature, and high diagnostic sensitivity. However, broader clinical adoption remains hindered by operator dependency, in... read more
I argue that the current proliferation of generative artificial intelligence (AI) represents a new stage in a longer historical process of distancing humans from their unique individual psyches and of reducing participation and cultural diversity in ... read more
The development of quantum photonics relies on the availability of high-quality, on-demand single-photon sources. Most appropriate are semiconductor Quantum dots (QDs) with tunable emission spectra and discrete energy levels. Due to the spontaneous o... read more
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