Approximately 40% of cancer-related clinical trials terminate prematurely, 1 which results in an immense loss of time, money, and human effort. Failure to optimize clinical trial design, inefficient ...
A new peer-reviewed study published in Nature Scientific Reports reveals that large language models (LLMs) often overlook key clinical nuances when handling complex medical queries, raising questions ...
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New study identifies a "sweet spot" in clinical decision-making
Having more options is always better - until it's not. Doctors face this paradox daily when choosing treatment plans for ...
Experience in addition to your academic work and record are especially important in preparing for a healthcare career. This experiential learning helps you develop the core competencies that health ...
The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...
Vol. 45, No. 1, Special Issue: Models and Tools for Systems Learning and Instruction (February 2017), pp. 53-72 (20 pages) In this paper, we share results from a classroom intervention that used a ...
Nurse educators play a pivotal role in shaping the next generation of nurses, bridging the gap between theoretical knowledge and practical application. Their influence extends beyond the ...
Natural language processing is a branch of artificial intelligence that aims to enable computers to process, understand, interpret and manipulate human language. After decades of exploring, current ...
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