AI in Hematopathology: How Digital Smears Enable Automated Blood Cell Classification Key Takeaways AI-powered digital microscopy is revolutionizing blood cell analysis, achieving diagnostic accuracy rates up to 95% while dramatically reducing processing time and improving statistical reliability through massive cell analysis capabilities. AI achieves
Author: Similoluwa Oluwalana
Managing ‘HPV Positive, Normal Cytology’: When to Reassure vs Colposcopy
Managing ‘HPV Positive, Normal Cytology’: When to Reassure vs Colposcopy Abstract Human papillomavirus (HPV) testing has become a cornerstone of cervical cancer screening programs worldwide. However, the management of women who test positive for high-risk HPV but have normal cytology results remains a
Brain–Computer Interfaces: From Locked-In Syndrome to Restoring Movement
Brain–Computer Interfaces: From Locked-In Syndrome to Restoring Movement Abstract Brain-computer interfaces (BCIs) represent a rapidly evolving field that directly connects the human brain to external devices. This technology shows promise for treating neurological conditions, particularly locked-in syndrome and motor impairments resulting from spinal cord
Anastomotic Leak Prediction: Biomarkers + AI vs Surgeon Judgment
Anastomotic Leak Prediction: Biomarkers + AI vs Surgeon Judgment Key Takeaways Anastomotic leak prediction is evolving rapidly, with three distinct approaches showing different strengths and implementation timelines for surgical practice. AI models achieve 99.6% accuracy but face practical barriers. Biomarker protocols offer negative predictive
Food Allergy Desensitization: Is Oral Immunotherapy Ready for Prime Time?
Food Allergy Desensitization: Is Oral Immunotherapy Ready for Prime Time? Abstract Food allergies affect millions of people worldwide and can cause severe, life-threatening reactions. Traditional management has focused on strict food avoidance and emergency treatment. Oral immunotherapy (OIT) has emerged as a promising treatment
Ethical Dilemmas in Involuntary Psychiatric Treatment: Balancing Patient Autonomy and Public Safety in Modern Medicine
Ethical Dilemmas in Involuntary Psychiatric Treatment: Balancing Patient Autonomy and Public Safety in Modern Medicine Abstract Involuntary psychiatric treatment represents one of the most challenging ethical domains in contemporary medicine. This paper examines the complex moral, legal, and clinical issues that arise when healthcare
Why Diagnostic Stewardship in the ED Actually Reduces Medical Errors
Why Diagnostic Stewardship in the ED Actually Reduces Medical Errors Introduction Diagnostic stewardship represents a critical yet underutilized approach to reducing medical errors in emergency medicine. In fact, history and physical examination alone provide 73%-94% of the information needed for accurate diagnosis,
Beyond Thrombectomy: Latest Advances in Large Vessel Occlusion Therapy
Beyond Thrombectomy: Latest Advances in Large Vessel Occlusion Therapy Introduction Stroke from large vessel occlusion remains a devastating neurological emergency affecting millions worldwide. According to the American Heart Association, stroke ranks as the fourth leading cause of death in the United States, with
AI in the Cath Lab: Clinical Breakthrough or Expensive Decision Support?
AI in the Cath Lab: Clinical Breakthrough or Expensive Decision Support? Abstract The integration of artificial intelligence (AI) into cardiac catheterization laboratories represents a major shift in cardiovascular medicine. This analysis examines the clinical effectiveness, economic impact, and practical implementation of AI systems
AI in Internal Medicine: Can Algorithms Outperform the Clinical Intuition of Experienced Physicians?
AI in Internal Medicine: Can Algorithms Outperform the Clinical Intuition of Experienced Physicians? Abstract This paper examines the growing role of artificial intelligence in internal medicine and addresses the critical question of whether algorithmic approaches can surpass the clinical intuition developed by experienced physicians
