The Current and Future State of AI Interpretation of Medical Images | New England Journal of
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Abstract The emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …

With the advent of large language models (LLMs), the artificial intelligence revolution in
medicine and radiology is now more tangible than ever. Every day, an increasingly large …

Anatomy is taught in the early years of an undergraduate medical curriculum. The subject is
volatile and of voluminous content, given the complex nature of the human body. Students …

The rapid growth of medical imaging has placed increasing demands on radiologists. In this
scenario, artificial intelligence (AI) has become an attractive partner, one that may …

Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with
possible positive and negative consequences. The integration of AI in radiology holds the …

Artificial intelligence (AI) applications in radiology have been rising exponentially in the last
decade. Although AI has found usage in various areas of healthcare, its utilization in the …

Rationale and Objectives Artificial intelligence (AI) has rapidly emerged as a field poised to
affect nearly every aspect of medicine, especially radiology. A PubMed search for the terms …

Users of artificial intelligence (AI) can become overreliant on AI, negatively affecting the
performance of human-AI teams. For a future in which radiologists use interpretive AI tools …

Artificial intelligence (AI) is a cross-disciplinary field in which computer scientists,
mathematicians, and engineers work to create algorithms that" learn" to take complex inputs …