AIMC Topic: Artificial Intelligence

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Mastering diverse control tasks through world models.

Nature
Developing a general algorithm that learns to solve tasks across a wide range of applications has been a fundamental challenge in artificial intelligence. Although current reinforcement-learning algorithms can be readily applied to tasks similar to w...

Advanced imaging techniques and artificial intelligence in pleural diseases: a narrative review.

European respiratory review : an official journal of the European Respiratory Society
BACKGROUND: Pleural diseases represent a significant healthcare burden, affecting over 350 000 patients annually in the US alone and requiring accurate diagnostic approaches for optimal management. Traditional imaging techniques have limitations in d...

[Artificial intelligence in medicine-Opportunities and risks from an ethical perspective].

Die Ophthalmologie
Imaging disciplines, such as ophthalmology, offer a wide range of opportunities for the beneficial use of artificial intelligence (AI). The analysis of images and data by trained algorithms has the potential to facilitate making the diagnosis and pat...

Exploring the impact of AI on unemployment for people with disabilities: do educational attainment and governance matter?

Frontiers in public health
The current study investigates the impact of artificial intelligence (AI) on unemployment among people with disabilities, focusing on the mediating role of education and the moderating effect of governance quality. Using panel data from 27 high-tech ...

Artificial intelligence in hospital infection prevention: an integrative review.

Frontiers in public health
BACKGROUND: Hospital-acquired infections (HAIs) represent a persistent challenge in healthcare, contributing to substantial morbidity, mortality, and economic burden. Artificial intelligence (AI) offers promising potential for improving HAIs preventi...

The future outlook for data in orthopedic surgery: A new era of real-time innovation.

Journal of orthopaedic surgery (Hong Kong)
The orthopedic field is on the brink of a significant transformation-a shift from retrospective analysis to real-time decision-making fueled by data. The dependence on historical trends or long-term studies is yielding to an era where data flows dyna...

Foundation Model for Predicting Prognosis and Adjuvant Therapy Benefit From Digital Pathology in GI Cancers.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology
PURPOSE: Artificial intelligence (AI) holds significant promise for improving cancer diagnosis and treatment. Here, we present a foundation AI model for prognosis prediction on the basis of standard hematoxylin and eosin-stained histopathology slides...

Performance of Artificial Intelligence in Addressing Questions Regarding Management of Osteochondritis Dissecans.

Sports health
BACKGROUND: Large language model (LLM)-based artificial intelligence (AI) chatbots, such as ChatGPT and Gemini, have become widespread sources of information. Few studies have evaluated LLM responses to questions about orthopaedic conditions, especia...

Role of artificial intelligence in predicting the renal function after nephrectomy in renal cell carcinoma: a systematic review and meta-analysis.

International urology and nephrology
PURPOSE: To explore and assess the role of artificial intelligence (AI) in predicting the postoperative renal function in Renal Cell Carcinoma (RCC) patients undergoing nephrectomy.

Artificial intelligence applications in endometriosis imaging.

Abdominal radiology (New York)
Artificial intelligence (AI) may have the potential to improve existing diagnostic challenges in endometriosis imaging. To better direct future research, this descriptive review summarizes the general landscape of AI applications in endometriosis ima...