Artificial Intelligence Medical Compendium

Artificial intelligence (AI) has transformed molecular prediction and design, yet these advances remain only partially integrated with experimental discovery. We define TechBio 3.0 as an emerging paradigm for closed-loop drug discovery that connects ... read more 

BACKGROUND: Breast symmetry and harmony remain challenging goals in aesthetic breast surgery. Preoperative marking is fundamental for planning; however, most techniques rely on nipple-areola complex (NAC) distances and subjective visual assessment, o... read more 

BACKGROUND: The initial entry phase of minimally invasive surgery-direct optical trocar insertion (DOTI)-remains high risk due to potential spatial disorientation. To our knowledge, this pilot study investigates a deep learning-based semantic segment... read more 

Heterobifunctional targeted degraders (HBDs) enable potent removal of protein targets but their clinical success can be hindered by de novo toxicity inherent to their bivalent chemistry. Here we introduce a drug discovery framework that exploits high... read more 

OBJECTIVES: To assess the capability of subtraction iodine maps (SIM) combined with deep learning reconstruction (DLR) to evaluate the identification of bone involvement in patients with temporal bone lesions, compared with conventional enhanced CT w... read more 

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The success of generative molecular design depends on the synthetic accessibility of the molecules it creates. While computational models can help predict chemical reactions, their current effectiveness is limited by a lack of reference data and the ... read more 

X-ray coronary angiography is the gold standard for diagnosing coronary artery disease, a leading cause of global mortality. Existing artificial intelligence methods typically detect stenosis from individual frames or rely on manually selected key fr... read more 

Imaging informatics is becoming more central to clinical practice with the expansion of artificial intelligence, telehealth, patient portals, and diagnostic imaging. Despite these technological advances, formal education in imaging informatics is typ... read more 

Scapular morphology plays a critical role in the diagnosis and treatment of shoulder disorders. However, current assessment methods primarily rely on manual annotation of three-dimensional computed tomography (3D CT) scans by clinicians, which are ti... read more