Results 181 to 190 of about 451,997 (312)

Pediatric Intracerebral Hemorrhage Management-Consensus Statement of the International Pediatric Stroke Organization-Part 2: Outcomes, Rehabilitation, and Transition to Adulthood. [PDF]

J Am Heart Assoc
Mrakotsky C, Mailo JA, Chevignard M, Dlamini N, Fox CK, Fullerton HJ, Lehman LL, Boulouis G, Waak M.   +8 more
europepmc   +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

Who Is Really Deciding? AI and Clinical Judgement in Dentistry. [PDF]

Int Dent J
Farooqi OA.
europepmc   +1 more source

The value of strength-based approaches in SERE and sport psychology [PDF]

, 2015
Leach, John, Wagstaff, Christopher R. D.
core   +2 more sources

How to Better Manage Insomnia in French Cancer Patients With a Guided Internet-Based Cognitive Behavioral Therapy? The Sleep-4-All 2.0 Real World Multicenter Single-Arm Interventional Study. [PDF]

Cancer Med
Boinon D, Pagès A, Zanni L, Journiac J, Charles C, Borinelli-Franzoi MA, Vaz-Luis I, Fasse L, Hernot D, Monod A, Le Provost JB, Scotte F, Guerdoux E, Paillard-Brunet G, Savard J, Dauchy S.   +15 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

Comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper". [PDF]

PLoS Comput Biol
Chicco D, Jurman G.
europepmc   +1 more source

Dimensions of the AI Divide: Digital Inequality and Psychological Consequences

AI &Innovation, EarlyView.
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley   +1 more source

Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice

AI &Innovation, EarlyView.
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley   +1 more source

Adaptation of Dialectical Behavioral Therapy Skills to Advance Clinical Care in Inpatient Addiction Treatment Settings. [PDF]

Prof Psychol Res Pr
Luk JW.
europepmc   +1 more source