Artificial Intelligence Medical Compendium

Real-time, multi-parameter monitoring is essential for optimizing industrial penicillin fermentation, yet conventional assays are slow and prone to contamination. This study introduces a lightweight dual-stream fusion model-Partial Least Squares Regr... read more 

Automatic sleep stage classification is essential for enabling non-invasive, at-home monitoring. However, current methods often rely on electroencephalogram (EEG) signals and ad-hoc development approaches that limit reproducibility. We present a repr... read more 

By 2050, advances in artificial intelligence (AI), Internet of Medical Things (IoMT) and teledermatology are predicted to fundamentally transform the diagnosis and management of chronic inflammatory skin conditions. This white paper examines the anti... read more 

BACKGROUND: Stereotactic Body Radiation Therapy (SBRT) has become an established treatment for several primary and metastatic malignancies; however, considerable heterogeneity remains in its definition, clinical indications, and technical delivery. M... read more 

Face clustering, a critical task for annotating large-scale unlabeled face recognition datasets, aims to group facial images of the same identity while minimizing annotation costs. Recent approaches model face relationships as graphs and leverage gra... read more 

People can easily recognize human facial expressions on unnatural head shapes such as those of cartoon characters or animals. Current machine learning algorithms, however, struggle with out-of-domain transfer in facial expression recognition if not t... read more 

Magnetic resonance imaging (MRI) is a crucial tool in modern clinical diagnostics due to its non-invasive nature and high-resolution imaging capabilities. However, existing MRI reconstruction methods face two major challenges: (i) reconstruction arti... read more 

Raman spectroscopy has established itself as a robust and non-invasive approach for the precise identification of pathogenic bacteria. The fusion of Raman spectroscopy with advanced artificial intelligence algorithms offers a promising strategy for a... read more 

Real-world evidence (RWE), derived from real-world data, offers key insights into metabolic dysfunction-associated steatotic liver disease (MASLD). RWE complements traditional randomised controlled trials by capturing large-scale, diverse patient pop... read more 

Artificial intelligence (AI) is making remarkable strides in the field of oncology. The potential is humongous, but the perils are understated. From the perspective of gynecologic oncologists from India, we urge everyone to take a cautionary look at ... read more