Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 37,201 to 37,210 of 223,469 articles

Quantifying and simulating above-ground biomass and carbon sequestration under various land cover scenarios in planted forest using machine learning and Earth observation.

Environmental monitoring and assessment
Quantifying and projecting above-ground biomass (AGB) and carbon dynamics are critical for understanding forest condition and supporting climate mitigation strategies, particularly in data-limited tropical systems. This study presents the first long-... read more 

Source apportionment of pollution in the Tianjin Haihe river sluice based on the TCN-APCS-MLR model.

Environmental geochemistry and health
River pollution identification in complex watersheds like the Haihe River Sluice faces challenges due to temporal dynamics and nonlinear driving mechanisms. Traditional receptor models (CMB, PMF, APCS-MLR) often lack the sensitivity required for accu... read more 

Machine learning-guided rational engineering of ACE2-derived peptides for broad-spectrum neutralization of SARS-CoV-2 variants.

Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society
The dynamic mutational landscape of SARS-CoV-2, especially within the spike glycoprotein's RBD, continues to undermine the effectiveness of available therapeutics. Although ACE2-derived peptides have previously been explored as spike inhibitors, thei... read more 

Testosterone-Sparing Treatment Strategies for Biochemically Recurrent Prostate Cancer After Radical Prostatectomy.

Current oncology reports
PURPOSE OF REVIEW: Biochemical recurrence (BCR) after radical prostatectomy occurs in up to one-third of patients and increases the risk of metastasis and prostate cancer-specific mortality. While androgen deprivation therapy (ADT) remains a foundati... read more 

Dedicated and Reconfigurable Artificial Neurons and Synapses based on Two-Dimensional Materials for Efficient Neuromorphic Application.

Nano-micro letters
Neuromorphic computing, a highly promising computational architecture, has provided an efficient solution to overcome the limitations of storage-compute separation and scaling constraints. The key to implementing this architecture lies in the develop... read more 

AI-assessed sarcopenia as an independent predictor of neoadjuvant chemotherapy outcomes in muscle-invasive bladder cancer.

La Radiologia medica
PURPOSE: Sarcopenia has already been widely investigated as a potential indicator of negative outcomes in oncology patients. Our aim was to evaluate the potential predictive role of sarcopenia assessed using an Artificial Intelligence-powered softwar... read more 

Legal and Ethical Challenges in Integrating AI Into Clinical Practice: Qualitative Study of Physicians' Real-World Experiences.

JMIR AI
BACKGROUND: The adoption of artificial intelligence (AI) in health care has accelerated; however, physicians continue to face substantial legal, ethical, and regulatory uncertainties when considering AI integration into clinical practice. Although th... read more