Tag

Surgical Complications

All articles tagged with #surgical complications

Endometriosis surgery triggers life-threatening sepsis and long-term recovery
health16 days ago

Endometriosis surgery triggers life-threatening sepsis and long-term recovery

A woman with long‑standing endometriosis undergoes abdominal surgery to remove scar tissue but develops a bowel perforation and post‑operative infection, leading to sepsis, septic shock, and weeks in intensive care with multiple surgeries. She survives but is left with post‑sepsis syndrome, PTSD, fatigue and memory problems, highlighting how post‑operative sepsis can strike quickly and reshape lives for patients and families.

"AI's Role in Identifying Risky Alcohol Use Pre-Surgery"
healthtech2 years ago

"AI's Role in Identifying Risky Alcohol Use Pre-Surgery"

A new analysis suggests that artificial intelligence could help identify patients at risk of dangerous alcohol use before surgery by analyzing contextual clues in their medical records, such as notes, test results, or billing data. The study used a natural language processing model to assess the records of over 53,000 surgical patients and found that the AI model classified three times as many patients at risk compared to diagnosis codes alone. The findings highlight AI as a potential tool for clinicians to identify patients in need of intervention or postoperative support, potentially improving surgical outcomes.

"AI's Role in Identifying Patients' Risky Alcohol Consumption Pre-Surgery"
healthcare-technology2 years ago

"AI's Role in Identifying Patients' Risky Alcohol Consumption Pre-Surgery"

A new analysis suggests that artificial intelligence could help identify patients at risk of dangerous alcohol use before surgery by analyzing contextual clues in their medical records, such as diagnostic codes, notes, test results, and billing data. The study used a natural language processing model to assess the records of over 53,000 surgical patients and found that the AI model was able to identify three times as many at-risk patients compared to diagnostic codes alone. The findings highlight the potential for AI to assist clinicians in identifying patients who may need intervention or postoperative support, ultimately improving patient care and outcomes.