AIMC Topic: Humans

Clear Filters Showing 32061 to 32070 of 95995 articles

Bridging bytes and biopsies: A comparative analysis of ChatGPT and histopathologists in pathology diagnosis and collaborative potential.

Histopathology
BACKGROUND AND AIMS: ChatGPT is a powerful artificial intelligence (AI) chatbot developed by the OpenAI research laboratory which is capable of analysing human input and generating human-like responses. Early research into the potential application o...

MaTPIP: A deep-learning architecture with eXplainable AI for sequence-driven, feature mixed protein-protein interaction prediction.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Protein-protein interaction (PPI) is a vital process in all living cells, controlling essential cell functions such as cell cycle regulation, signal transduction, and metabolic processes with broad applications that include ...

Short-term outcomes after open versus robot-assisted repair of ventral hernias: a nationwide database study.

Hernia : the journal of hernias and abdominal wall surgery
PURPOSE: The robotic platform is widely implemented; however, evidence evaluating outcomes of robotic ventral hernia repair is still lacking. The aim of the study was to evaluate the short-term outcomes after open and robot-assisted repair of primary...

FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis.

Artificial intelligence in medicine
Early assessment, with the help of machine learning methods, can aid clinicians in optimizing the diagnosis and treatment process, allowing patients to receive critical treatment time. Due to the advantages of effective information organization and i...

Diagnosis knowledge constrained network based on first-order logic for syndrome differentiation.

Artificial intelligence in medicine
Traditional Chinese medicine (TCM) has been recognized worldwide as a valuable asset of human medicine. The procedure of TCM is to treatment based on syndrome differentiation. However, the effect of TCM syndrome differentiation relies heavily on the ...

Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture.

Computers in biology and medicine
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid transmission. Initi...

Exploring classical machine learning for identification of pathological lung auscultations.

Computers in biology and medicine
The use of machine learning in biomedical research has surged in recent years thanks to advances in devices and artificial intelligence. Our aim is to expand this body of knowledge by applying machine learning to pulmonary auscultation signals. Despi...

Human Motor System-Based Biohybrid Robot-On-a-Chip for Drug Evaluation of Neurodegenerative Disease.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Biohybrid robots have been developed for biomedical applications and industrial robotics. However, the biohybrid robots have limitations to be applied in neurodegenerative disease research due to the absence of a central nervous system. In addition, ...

[Use of AI-based applications by hospital staff: task profiles and qualification requirements].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
BACKGROUND: Artificial intelligence (AI) is becoming increasingly important for the future development of hospitals. To unlock the large potential of AI, job profiles of hospital staff members need to be further developed in the direction of AI and d...