Results 171 to 180 of about 1,458,524 (304)

Surgical Resection for Colorectal Liver Metastasis in Elderly Patients Aged ≥ 80: A Retrospective Nationwide Cohort Survey in Japan With Propensity Score Matching

Annals of Gastroenterological Surgery, EarlyView.
Surgical resection for CRLM seems to be as effective in elderly patients aged ≥ 80 as in nonelderly patients. However, elderly patients aged ≥ 80 had significantly worse cancer‐specific survival (CSS) and overall survival (OS). The significantly worse CSS and OS may have resulted from a lower rate of treatment for recurrence in elderly patients aged ...
Kiichi Sugimoto, Akio Saiura, Shuko Nojiri, Hirotoshi Kobayashi, Goro Honda, Kazushige Kawai, Kiyoshi Hasegawa, Keiichi Takahashi   +7 more
wiley   +1 more source

The impact of disasters on maternal mental health: a systematic review. [PDF]

J Glob Health
Seema M, Afoakwah C, Tuzel E, Byrnes J.
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

From harm to healing: transforming the lives of victims of conflict-related sexual violence through reparation. [PDF]

BMJ Glob Health
Gilmore S, Sandoval-Villalba C.
europepmc   +1 more source

Seeing Through the Face: Robust Facial Diagnosis Enhanced by Landmark Detection and Pose Normalization

Advanced Intelligent Systems, EarlyView.
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie, Zixian Jiao, Guo Bai, Huimin Zhu, Dahe Zhang, Hui Li, Haixia Lu, Xin Nie, Qing Li, Duohong Zou, Zhiguo Yin, Peilun Li, Chi Yang   +12 more
wiley   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Neuroscience, psychology and conflict management

This peer reviewed eBook introduces readers to foundational concepts in neuroscience, cognitive psychology, personality psychology and social psychology to help explain why conflict occurs, how it develops and how it may be managed and/or resolved.
openaire   +1 more source

Exploring civilian minds and lives during the 2025 India-Pakistan conflict: a phenomenological study in Lahore, Pakistan. [PDF]

BMJ Open
Saleem J, Hameed S, Shehzad MN, Shahzad RB, Ali N, Aftab MM, Khan S, Asif A, Amna I, Khan HZ.   +9 more
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Web-Based Personalized Machine Learning Recommendations to Enhance Shared Decision-Making in Prostate-Specific Antigen Screening: Randomized Controlled Trial. [PDF]

JMIR Aging
Lin YT, Huang YC, Liu CK, Cho HY, Chen M.   +4 more
europepmc   +1 more source