CONCLUSIONS: Visual dysfunction, particularly a thinner RNFL and lower vessel density, is related to LEDD reduction after STN-DBS. Prolonged administration of dopamine-mimetic drugs prevents visual symptoms. Thus, physicians should consider LEDD adjustment when patients report visual dysfunction before surgery or severe visual symptoms after STN-DBS. →
CONCLUSIONS: The integration of an electronic dashboard to monitor digital social activity in mental health care treatment is novel. This study examines the feasibility and effectiveness of the dashboard and the challenges in implementing this protocol. The lessons learned from developing and implementing the study will inform ongoing discussions about the value of gathering collateral… →
CONCLUSIONS: The findings imply that at the current stage of AI development, people trust human expertise more than accurate AI, especially for decisions traditionally made by humans, such as medical diagnosis, supporting the algorithm aversion theory. Surprisingly, even for highly stigmatized diseases such as AIDS, where we assume anonymity and privacy are preferred in medical… →
CONCLUSIONS AND RELEVANCE: In this cluster randomized clinical trial of risk assessment delivery, POC engagement resulted in a higher rate of assessment of hereditary cancer risk than the DPE approach but a similar rate of genetic testing completion. Using a combination of engagement strategies may be the optimal approach for greater reach and impact. →
CONCLUSIONS: The data show that TASG is a safe and effective therapeutic option for improving the appearance of acne scars and related hyperpigmentation. →
Deep learning faces difficulties when applied to large physical systems on irregular grids, especially when interactions occur over long distances or at multiple scales. Handling these complexities becomes harder as the number of nodes increases. Several techniques have difficulty tackling these big problems, resulting in high computational costs and inefficiency. Some major issues are capturing… →
Transformer models have transformed language modeling by enabling large-scale text generation with emergent properties. However, they struggle with tasks that require extensive planning. Researchers have explored modifications in architecture, objectives, and algorithms to improve their ability to achieve goals. Some approaches move beyond traditional left-to-right sequence modeling by incorporating bidirectional context, as seen in models… →
Large language models have made significant strides in understanding and generating human-like text. Yet, when it comes to complex reasoning tasks—especially those that require multi-step calculations or logical analysis—they often struggle. Traditional chain-of-thought (CoT) approaches help by breaking down problems into intermediate steps, but they rely heavily on the model’s internal reasoning. This internal dependency… →
CONCLUSIONS: This study confirms the feasibility and high compliance of delivering a semi-supervised 8-week multi-modal exercise program to participants of a lung cancer screening program. It was safe, with no adverse events. →