Latest news with #adenomas
Yahoo
7 days ago
- Health
- Yahoo
How a bowel cancer examination revealed AI's negative impact on doctors
Using AI regularly can potentially 'deskill' health workers, a new study suggests. Academics said that the finding is 'concerning' given the rapid uptake of artificial intelligence (AI) across healthcare. The new study looked at health workers who perform a test to look for early signs of bowel cancer. Endoscopists perform a test called a colonoscopy to look for precancerous growths in the bowel known as adenomas. This means these pre-cancerous growths can be detected and removed, preventing them from becoming bowel cancer. Advances in AI technology have led to the development of computer-assisted polyp detection systems, which have been found to help these health workers spot more adenomas. Researchers wanted to assess whether continuous use of AI led to a dip in performance when endoscopist perform colonoscopies without AI by analysing work conducted in Poland. The research team analysed 1,442 colonoscopies conducted by experienced health workers before and after AI systems were rolled out at certain centres in 2021. Writing in the journal Lancet Gastroenterology and Hepatology, researchers reported that the rate of detection of polyps was 6 per cent lower after the introduction of AI in standard and non-AI assisted colonoscopies. 'To our knowledge this is the first study to suggest a negative impact of regular AI use on healthcare professionals' ability to complete a patient-relevant task in medicine of any kind,' said one of the study authors, Dr Marcin Romanczyk, Academy of Silesia in Poland. 'Our results are concerning given the adoption of AI in medicine is rapidly spreading. 'We urgently need more research into the impact of AI on health professional's skills across different medical fields. We need to find out which factors may cause or contribute to problems when healthcare professionals and AI systems don't work well together, and to develop ways to fix or improve these interactions.' In a linked editorial, Omer Ahmad, a consultant gastroenterologist and interventional endoscopist and clinical research fellow at University College London, wrote: 'These findings temper the current enthusiasm for rapid adoption of AI-based technologies such as CADe and highlight the importance of carefully considering possible unintended clinical consequences. 'The study provides the first real-world clinical evidence for the phenomenon of deskilling, potentially affecting patient-related outcomes.'
Yahoo
7 days ago
- Health
- Yahoo
Using AI tools can ‘deskill' certain health workers
Using AI regularly can potentially 'deskill' health workers, a new study suggests. Academics said that the finding is 'concerning' given the rapid uptake of artificial intelligence (AI) across healthcare. The new study looked at health workers who perform a test to look for early signs of bowel cancer. Endoscopists perform a test called a colonoscopy to look for precancerous growths in the bowel known as adenomas. This means these pre-cancerous growths can be detected and removed, preventing them from becoming bowel cancer. Advances in AI technology have led to the development of computer-assisted polyp detection systems, which have been found to help these health workers spot more adenomas. Researchers wanted to assess whether continuous use of AI led to a dip in performance when endoscopist perform colonoscopies without AI by analysing work conducted in Poland. The research team analysed 1,442 colonoscopies conducted by experienced health workers before and after AI systems were rolled out at certain centres in 2021. Writing in the journal Lancet Gastroenterology and Hepatology, researchers reported that the rate of detection of polyps was 6% lower after the introduction of AI in standard and non-AI assisted colonoscopies. 'To our knowledge this is the first study to suggest a negative impact of regular AI use on healthcare professionals' ability to complete a patient-relevant task in medicine of any kind,' said one of the study authors, Dr Marcin Romanczyk, Academy of Silesia in Poland. 'Our results are concerning given the adoption of AI in medicine is rapidly spreading. 'We urgently need more research into the impact of AI on health professional's skills across different medical fields. We need to find out which factors may cause or contribute to problems when healthcare professionals and AI systems don't work well together, and to develop ways to fix or improve these interactions.' In a linked editorial, Omer Ahmad, a consultant gastroenterologist and interventional endoscopist and clinical research fellow at University College London, wrote: 'These findings temper the current enthusiasm for rapid adoption of AI-based technologies such as CADe and highlight the importance of carefully considering possible unintended clinical consequences. 'The study provides the first real-world clinical evidence for the phenomenon of deskilling, potentially affecting patient-related outcomes.' Sign in to access your portfolio
Yahoo
7 days ago
- Health
- Yahoo
Using AI tools can ‘deskill' certain health workers
Using AI regularly can potentially 'deskill' health workers, a new study suggests. Academics said that the finding is 'concerning' given the rapid uptake of artificial intelligence (AI) across healthcare. The new study looked at health workers who perform a test to look for early signs of bowel cancer. Endoscopists perform a test called a colonoscopy to look for precancerous growths in the bowel known as adenomas. This means these pre-cancerous growths can be detected and removed, preventing them from becoming bowel cancer. Advances in AI technology have led to the development of computer-assisted polyp detection systems, which have been found to help these health workers spot more adenomas. Researchers wanted to assess whether continuous use of AI led to a dip in performance when endoscopist perform colonoscopies without AI by analysing work conducted in Poland. The research team analysed 1,442 colonoscopies conducted by experienced health workers before and after AI systems were rolled out at certain centres in 2021. Writing in the journal Lancet Gastroenterology and Hepatology, researchers reported that the rate of detection of polyps was 6% lower after the introduction of AI in standard and non-AI assisted colonoscopies. 'To our knowledge this is the first study to suggest a negative impact of regular AI use on healthcare professionals' ability to complete a patient-relevant task in medicine of any kind,' said one of the study authors, Dr Marcin Romanczyk, Academy of Silesia in Poland. 'Our results are concerning given the adoption of AI in medicine is rapidly spreading. 'We urgently need more research into the impact of AI on health professional's skills across different medical fields. We need to find out which factors may cause or contribute to problems when healthcare professionals and AI systems don't work well together, and to develop ways to fix or improve these interactions.' In a linked editorial, Omer Ahmad, a consultant gastroenterologist and interventional endoscopist and clinical research fellow at University College London, wrote: 'These findings temper the current enthusiasm for rapid adoption of AI-based technologies such as CADe and highlight the importance of carefully considering possible unintended clinical consequences. 'The study provides the first real-world clinical evidence for the phenomenon of deskilling, potentially affecting patient-related outcomes.'
The Independent
7 days ago
- Health
- The Independent
Using AI tools can ‘deskill' certain health workers
Using AI regularly can potentially 'deskill' health workers, a new study suggests. Academics said that the finding is 'concerning' given the rapid uptake of artificial intelligence (AI) across healthcare. The new study looked at health workers who perform a test to look for early signs of bowel cancer. Endoscopists perform a test called a colonoscopy to look for precancerous growths in the bowel known as adenomas. This means these pre-cancerous growths can be detected and removed, preventing them from becoming bowel cancer. Advances in AI technology have led to the development of computer-assisted polyp detection systems, which have been found to help these health workers spot more adenomas. Researchers wanted to assess whether continuous use of AI led to a dip in performance when endoscopist perform colonoscopies without AI by analysing work conducted in Poland. The research team analysed 1,442 colonoscopies conducted by experienced health workers before and after AI systems were rolled out at certain centres in 2021. Writing in the journal Lancet Gastroenterology and Hepatology, researchers reported that the rate of detection of polyps was 6% lower after the introduction of AI in standard and non-AI assisted colonoscopies. 'To our knowledge this is the first study to suggest a negative impact of regular AI use on healthcare professionals' ability to complete a patient-relevant task in medicine of any kind,' said one of the study authors, Dr Marcin Romanczyk, Academy of Silesia in Poland. 'Our results are concerning given the adoption of AI in medicine is rapidly spreading. 'We urgently need more research into the impact of AI on health professional's skills across different medical fields. We need to find out which factors may cause or contribute to problems when healthcare professionals and AI systems don't work well together, and to develop ways to fix or improve these interactions.' In a linked editorial, Omer Ahmad, a consultant gastroenterologist and interventional endoscopist and clinical research fellow at University College London, wrote: 'These findings temper the current enthusiasm for rapid adoption of AI-based technologies such as CADe and highlight the importance of carefully considering possible unintended clinical consequences. 'The study provides the first real-world clinical evidence for the phenomenon of deskilling, potentially affecting patient-related outcomes.'
Medscape
13-06-2025
- Health
- Medscape
Adverse Events Post-Colonoscopy Rise With Age but Are Rare
Although adverse event rates within 30 days after surveillance colonoscopy increase with age, peaking among patients aged 76-85 years, they remain infrequent, occurring in < 1% of procedures. METHODOLOGY: Guidelines recommend surveillance colonoscopy for patients with precancerous adenomas due to an increased colorectal cancer risk but lack recommendations for stopping surveillance after the age of 75 years despite older adults experiencing increased comorbidities. Researchers analyzed data from 84,172 surveillance colonoscopies performed from 2010 to 2019 within a large integrated US healthcare system. Participants (59.5% men; 66.4% White individuals), aged 45-85 years, had a prior adenoma and were followed up to 30 days post-procedure for adverse events. Outcomes included emergency department visits, hospitalizations, and deaths due to specific conditions (eg, colonic perforation and stroke), cardiovascular conditions, or any cause. Logistic regression was used to assess the association between age and adverse event risk, adjusting for various factors. TAKEAWAY: Adverse events occurred in < 1% of procedures, with gastrointestinal bleeding being the most common. Adverse event rates increased with age, with the highest rates observed in patients aged 76-85 years (69.6 events per 10,000 procedures), particularly for gastrointestinal bleeding (39.2 events per 10,000 procedures) and stroke (18.3 events per 10,000 procedures). Patients aged 76-85 years had significantly higher odds of adverse events than younger age groups in unadjusted analyses, but these odds were attenuated after adjusting for covariates. Significant risk factors for adverse events across all age groups included anticoagulant use, higher comorbidity scores, polypectomy, and advanced neoplasia detection during surveillance colonoscopy. IN PRACTICE: 'The findings suggest that the decision to perform colonoscopy surveillance after age 75 should be individualized based on patient preference, prior colonoscopy findings and procedure quality, comorbidities, and medication usage, rather than age alone,' the authors wrote. SOURCE: This study was led by Jeffrey K. Lee, MD, Kaiser Permanente Northern California in Oakland, California. It was published online in Clinical Gastroenterology and Hepatology . LIMITATIONS: Findings may not be generalizable, as all participants were insured and had access to comprehensive care. The observational design lacked a noncolonoscopy comparison group, making it difficult to attribute adverse events directly to the procedure. Limited numbers of certain adverse events resulted in wide CIs, and potential confounders like polyp size or number and sedation type were not adjusted for. DISCLOSURES: This study was conducted within the National Cancer Institute-funded Population-based Research to Optimize the Screening Process consortium and supported by a career development grant from the same agency. The authors reported no relevant conflicts of interest.
