Results 271 to 280 of about 2,994,342 (328)

Use of a structured approach and virtual simulation practice to improve diagnostic reasoning

Diagnosis, 2021
Objectives In 2015, the National Academy of Medicine IOM estimated that 12 million patients were misdiagnosed annually. This suggests that despite prolonged training in medical school and residency there remains a need to improve diagnostic reasoning ...
M. Dekhtyar, Y. Park, Judy Kalinyak, S. Chudgar, Kelly Bossenbroek Fedoriw, Khadeja J. Johnson, Craig F. Knoche, Lisa C. Martinez, Nina Mingioni, Amber T. Pincavage, R. Salas, Fred Sanfilippo, Stephen M. Sozio, Nancy Weigle, Sarah Wood, J. Zavodnick, S. Stern   +16 more
semanticscholar   +1 more source

Diagnostic reasoning strategies and diagnostic success

Medical Education, 2003
Purpose Cognitive psychology research supports the notion that experts use mental frameworks or ‘schemes’, both to organize knowledge in memory and to solve clinical problems. The central purpose of this study was to determine the relationship between problem‐solving strategies and the likelihood of diagnostic ...
S, Coderre, H, Mandin, P H, Harasym, G H, Fick   +3 more
openaire   +2 more sources

MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports

arXiv.org
Doctors and patients alike increasingly use Large Language Models (LLMs) to diagnose clinical cases. However, unlike domains such as math or coding, where correctness can be objectively defined by the final answer, medical diagnosis requires both the ...
Kevin Wu, Eric Wu, R. Thapa, Kevin Wei, Angela Zhang, A. Suresh, Jacqueline J. Tao, M. Sun, Alejandro Lozano, James Zou   +9 more
semanticscholar   +1 more source

Diagnostic Reasoning

Annals of Internal Medicine, 1989
Research in cognitive science, decision sciences, and artificial intelligence has yielded substantial insights into the nature of diagnostic reasoning. Many elements of the diagnostic process have been identified, and many principles of effective clinical reasoning have been formulated.
openaire   +2 more sources

DIAGNOSTIC REASONING IN NEUROLOGY

Neurologic Clinics, 1996
Studies examining physicians' clinical decisions have demonstrated considerable variation in decisions and practices and identified numerous challenges to effective, efficient, and accurate decision making. Although use of the decision aids and tools described in this article may help overcome many of these challenges, greater self-awareness of the ...
D R, Gifford, B S, Mittman, B G, Vickrey
openaire   +2 more sources

Evidence-based diagnostic reasoning with multi-agent copilot for human pathology

arXiv.org
Pathology is experiencing rapid digital transformation driven by whole-slide imaging and artificial intelligence (AI). While deep learning-based computational pathology has achieved notable success, traditional models primarily focus on image analysis ...
Chengkuan Chen, Luca L. Weishaupt, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Bowen Chen, Anurag Vaidya, L. Le, Guillaume Jaume, Ming Y. Lu, F. Mahmood   +10 more
semanticscholar   +1 more source

Diagnostic reasoning

2017
This chapter discusses diagnostic reasoning from the perspective of causal inference. The computational framework that provides the foundation for the analyses—probabilistic inference over graphical causal structures—can be used to implement different models that share the assumption that diagnostic inferences are guided and constrained by causal ...
Meder, B. ; https://orcid.org/0000-0002-9326-400X, Mayrhofer, R.   +1 more
openaire   +3 more sources

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models

arXiv.org
The emergence of groundbreaking large language models capable of performing complex reasoning tasks holds significant promise for addressing various scientific challenges, including those arising in complex clinical scenarios.
Yakun Zhu, Zhongzhen Huang, Linjie Mu, Yutong Huang, W. Nie, Jiaji Liu, Shaoting Zhang, Pengfei Liu, Xiaofan Zhang   +8 more
semanticscholar   +1 more source

DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models

Neural Information Processing Systems
Large language models (LLMs) have recently showcased remarkable capabilities, spanning a wide range of tasks and applications, including those in the medical domain.
Bowen Wang, Jiuyang Chang, Yiming Qian, Guoxin Chen, Junhao Chen, Zhouqiang Jiang, Jiahao Zhang, Yuta Nakashima, Hajime Nagahara   +8 more
semanticscholar   +1 more source

Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment

Annual Meeting of the Association for Computational Linguistics
Medical dialogue systems have attracted significant attention for their potential to act as medical assistants. Enabling these medical systems to emulate clinicians' diagnostic reasoning process has been the long-standing research focus. Previous studies
Kaishuai Xu, Yi Cheng, Wenjun Hou, Qi Tan, Wenjie Li   +4 more
semanticscholar   +1 more source