AIMC Topic: Artificial Intelligence

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Aliado - A design concept of AI for decision support in oncological liver surgery.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: The interest in artificial intelligence (AI) is increasing. Systematic reviews suggest that there are many machine learning algorithms in surgery, however, only a minority of the studies integrate AI applications in clinical workflows. Ou...

SCAWA scales: A new digital tool for wrinkles clinical grading based on AI.

International journal of cosmetic science
OBJECTIVE: Clinical assessment of wrinkle depth is essential for efficacy evaluations of anti-ageing products. Standardized photographic scales, representative of different wrinkle depths are often used by experts to assign subjects reliable grades. ...

Potential promises and perils of artificial intelligence in psychotherapy -The AI Psychotherapist (APT).

Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists
OBJECTIVE: Since the release of ChatGPT, popular demand has driven the use of social chatbots as pseudo-AI psychotherapists. With time, it is inevitable that these technologies will be deployed in some form as dedicated psychotherapy interventions. H...

How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments.

Public understanding of science (Bristol, England)
Generative artificial intelligence in general and ChatGPT in particular have risen in importance. ChatGPT is widely known and used increasingly as an information source for different topics, including science. It is therefore relevant to examine how ...

Application of remote sensing technology in water quality monitoring: From traditional approaches to artificial intelligence.

Water research
Quantitative estimation is a key and challenging issue in water quality monitoring. Remote sensing technology has increasingly demonstrated its potential to address these challenges. Remote sensing imagery, combined with retrieval algorithms such as ...

Transforming personalized chronic pain management with artificial intelligence: A commentary on the current landscape and future directions.

Experimental neurology
Artificial intelligence (AI) has the potential to revolutionize chronic pain management by guiding the development of effective treatment strategies that are tailored to individual patient needs. This potential comes from AI's ability to analyze larg...

The power and perils of large language models in haematology.

British journal of haematology
Large language models (LLMs) are a transformative technology poised to fundamentally change multiple fields including haematology. Here, we review the history of large language model development, describe their current capabilities and identify oppor...

Pain Assessment for Patients with Dementia and Communication Impairment: Feasibility Study of the Usage of Artificial Intelligence-Enabled Wearables.

Sensors (Basel, Switzerland)
BACKGROUND: Recent studies on machine learning have shown the potential to provide new methods with which to assess pain through the measurement of signals associated with physiologic responses to pain detected by wearables. We conducted a prospectiv...

Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence.

Molecules (Basel, Switzerland)
The field of computational protein engineering has been transformed by recent advancements in machine learning, artificial intelligence, and molecular modeling, enabling the design of proteins with unprecedented precision and functionality. Computati...