AIMC Topic: Humans

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A Robot-Assisted Framework for Rehabilitation Practices: Implementation and Experimental Results.

Sensors (Basel, Switzerland)
One of the most interesting characteristics of collaborative robots is their ability to be used in close cooperation scenarios. In industry, this facilitates the implementation of human-in-loop workflows. However, this feature can also be exploited i...

Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study.

BMC medical informatics and decision making
BACKGROUND: This retrospective study aims to validate the effectiveness of artificial intelligence (AI) to detect and classify non-mass breast lesions (NMLs) on ultrasound (US) images.

Conversational agents enhance women's contribution in online debates.

Scientific reports
The advent of Artificial Intelligence (AI) is fostering the development of innovative methods of communication and collaboration. Integrating AI into Information and Communication Technologies (ICTs) is now ushering in an era of social progress that ...

Artificial intelligence and Italian culture: an understanding of how artificial intelligence can transform the radiation therapy landscape.

Medical oncology (Northwood, London, England)
The aim is to support the perception of artificial intelligence in the radiation therapy landscape.

Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice.

BMC primary care
BACKGROUND: Rapid advancements in artificial intelligence (AI) have led to the adoption of AI-driven symptom checkers in primary care. This study aimed to evaluate both patients' and physicians' attitudes towards these tools in Italian general practi...

Self-supervised deep learning for highly efficient spatial immunophenotyping.

EBioMedicine
BACKGROUND: Efficient biomarker discovery and clinical translation depend on the fast and accurate analytical output from crucial technologies such as multiplex imaging. However, reliable cell classification often requires extensive annotations. Labe...

Clinical perspectives on the adoption of the artificial intelligence-enabled electrocardiogram.

Journal of electrocardiology
The 12‑lead electrocardiogram (ECG) is a common and inexpensive diagnostic modality available at scale. The ECG reflects electrical activity throughout the cardiac cycle and is increasingly recognized to contain rich signal relevant across the spectr...

A novel hybrid CNN and BiGRU-Attention based deep learning model for protein function prediction.

Statistical applications in genetics and molecular biology
Proteins are the building blocks of all living things. Protein function must be ascertained if the molecular mechanism of life is to be understood. While CNN is good at capturing short-term relationships, GRU and LSTM can capture long-term dependenci...