AIMC Topic: Artificial Intelligence

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Innovations and challenges in vaccine development: Lessons from the SARS-CoV-2 pandemic and prospects.

Biochemical and biophysical research communications
Vaccination stands as one of the most significant achievements in public health, dramatically reducing the incidence of infectious diseases worldwide. The COVID-19 pandemic has catalyzed revolutionary advancements in vaccinology, particularly through...

Artificial Intelligence-Coupled Self-Calibrating SERS Spectroscopy for Robust Clinical Diagnosis of Diabetes and Associated Complications.

Analytical chemistry
Diabetes mellitus (DM), a prevalent metabolic disorder, poses significant diagnostic and therapeutic challenges, especially, in the early stage diagnosis of diabetes related complications. Accurate early stage diagnosis of diabetes and its complicati...

A comparative assessment of AI and manual transcription quality in health data: insights from field observations.

The New Zealand medical journal
AIM: This study explores the semantic similarities between qualitative research transcripts produced by artificial intelligence (AI) and those transcribed manually, with a particular focus on challenges encountered when working with multicultural par...

Vibe Coding in nephrology education: clinician-led, AI-assisted development of open-source interactive learning tools.

Renal failure
Medical education increasingly incorporates digital technologies; however, many tools remain passive and text-based. is a clinician-led design framework that embeds expert reasoning and the cognitive 'feel' of clinical decision-making into interacti...

Estimation of daily energy requirements using a hybrid artificial intelligence model.

Scientific reports
Accurately estimating energy requirements is critical for individuals to maintain a healthy life. Traditional methods may be time-consuming, complex, low in accuracy, and costly, thus creating a need for new approaches. This study explores the applic...

An improved facial emotion recognition system using convolutional neural network for the optimization of human robot interaction.

Scientific reports
Artificial intelligence (AI) has been effectively augmenting the features of robotics applications, including surveillance, medical support, aid services for the elderly or disabled, and many more uses. Most robotics applications need a variety of hu...

AI-generated neurology consultation summaries improve efficiency and reduce documentation burden in the emergency department.

Scientific reports
Physicians face a significant documentation burden, spending twice as much time on electronic health records (EHRs) as on direct patient care. Consultation summary reports from the emergency department (ED) are critical for continuity of care and cli...

A multi-scale attention-based Swin transformer model for medical images segmentation.

Scientific reports
Medical image segmentation is crucial in accurately diagnosing diseases and assisting physicians in examining relevant areas. Therefore, there is a pressing need for an artificial intelligence-based model that can facilitate the diagnostic process an...

A large language model for delirium prediction in the intensive care unit using structured electronic health records.

Scientific reports
Delirium is an acute syndrome characterized by fluctuating attention, cognitive impairment, and severe disorganization of behavior, which has been shown to affect up to 31% of patients in the intensive care unit (ICU). Early detection can enable time...

Biomedical philanthropy promises dramatic expansion and AI focus.

Science (New York, N.Y.)
Entering its second decade, the Chan Zuckerberg Initiative will make science the core mission for its founders' billions.