AIMC Topic: Artificial Intelligence

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Towards an AI policy framework in scholarly publishing.

Trends in cognitive sciences
The rapid adoption of artificial intelligence (AI) tools in academic research raises pressing ethical concerns. I examine major publishing policies in science and medicine, uncovering inconsistencies and limitations in guiding AI usage. To encourage ...

Awareness and level of digital literacy among students receiving health-based education.

BMC medical education
BACKGROUND: Being digitally literate allows health-based science students to access reliable, up-to-date information efficiently and expands the capacity for continuous learning. Digital literacy facilitates effective communication and collaboration ...

Artificial intelligence performance in detecting lymphoma from medical imaging: a systematic review and meta-analysis.

BMC medical informatics and decision making
BACKGROUND: Accurate diagnosis and early treatment are essential in the fight against lymphatic cancer. The application of artificial intelligence (AI) in the field of medical imaging shows great potential, but the diagnostic accuracy of lymphoma is ...

Historical perspective and future directions: computational science in immuno-oncology.

Journal for immunotherapy of cancer
Immuno-oncology holds promise for transforming patient care having achieved durable clinical response rates across a variety of advanced and metastatic cancers. Despite these achievements, only a minority of patients respond to immunotherapy, undersc...

[Potential of AI for the Treatment of Acute Respiratory Distress Syndrome (ARDS)].

Anasthesiologie, Intensivmedizin, Notfallmedizin, Schmerztherapie : AINS
Acute respiratory distress syndrome (ARDS) is still associated with high mortality rates and poses a significant, vital threat to ICU patients because this syndrome is often detected too late (or not at all), and timely therapy and the fastest possib...

Generative artificial intelligence empowers digital twins in drug discovery and clinical trials.

Expert opinion on drug discovery
INTRODUCTION: The concept of Digital Twins (DTs) translated to drug development and clinical trials describes virtual representations of systems of various complexities, ranging from individual cells to entire humans, and enables in silico simulation...

Cardiology in the digital era: from artificial intelligence to Metaverse, paving the way for future advancements.

Future cardiology
Tweetable abstract Cardiology's digital revolution: AI diagnoses, ChatGPT consults, Metaverse educates. Challenges & promises explored. #CardiologyTech #DigitalHealth.

An integration of hybrid MCDA framework to the statistical analysis of computer-based health monitoring applications.

Frontiers in public health
The surge in computer-based health surveillance applications, leveraging technologies like big data analytics, artificial intelligence, and the Internet of Things, aims to provide personalized and streamlined medical services. These applications enco...

The impact of AI errors in a human-in-the-loop process.

Cognitive research: principles and implications
Automated decision-making is becoming increasingly common in the public sector. As a result, political institutions recommend the presence of humans in these decision-making processes as a safeguard against potentially erroneous or biased algorithmic...