Latest news with #MarcinRomanczyk
Time of India
a day ago
- Health
- Time of India
Health professionals' skills to detect benign tumours drop after using AI for 3 months, study finds
New Delhi: Frequent reliance on artificial intelligence may lead to the risk of losing skills, as indicated by a study that discovered a 20 per cent decrease in the ability of experienced health professionals to detect benign tumour growths in colonoscopies when not using AI. Researchers from Poland, Norway, Sweden, and other European nations examined more than 1,400 colonoscopies - approximately 800 were conducted without AI assistance, while 650 utilised AI during the procedure. A colonoscopy is used to inspect the large intestine, encompassing the colon and rectum, for disease. The study compared colonoscopies performed three months prior to and following the integration of AI. Three months after becoming reliant on AI for support, the detection rate of adenomas -- a non-cancerous tumour -- during standard colonoscopy decreased significantly from 28.4 per cent before to 22.4 per cent after exposure to AI, the authors stated in their study published in The Lancet Gastroenterology and Hepatology journal. While studies have shown that using AI can help doctors and clinicians in improving cancer detection, the study is the first to "suggest a negative impact of regular AI use on healthcare professionals' ability to complete a patient-relevant task in medicine of any kind," author Marcin Romanczyk, Academy of Silesia in Poland, said. "Our results are concerning, given that the adoption of AI in medicine is rapidly spreading. We urgently need more research into the impact of AI on health professionals' skills across different medical fields," Romanczyk said. Author Yuichi Mori from the University of Oslo, Norway, said the results posed "an interesting question" related to previous trials, which found that an AI-assisted colonoscopy allowed for a higher tumour detection, compared to one that did not use AI's help. "It could be the case that non-AI-assisted colonoscopy assessed in these trials is different from standard non-AI-assisted colonoscopy as the endoscopists in the trials may have been negatively affected by continuous AI exposure," Mori said. The authors emphasised the necessity for additional research to comprehend the dynamics involved when healthcare professionals and AI systems are not effectively synchronised. In a commentary article related to the research, Dr Omer Ahmad from University College London, who was not involved in the study, said the findings "temper the current enthusiasm for (a) rapid adoption of AI-based technologies." The results provide the "first real-world clinical evidence for the phenomenon of deskilling, potentially affecting patient-related outcomes" and "highlight the importance of carefully considering possible unintended clinical consequences," Dr Ahmad said. "Although AI continues to offer great promise to enhance clinical outcomes, we must also safeguard against the quiet erosion of fundamental skills required for high-quality endoscopy," the author added.>
The Hindu
2 days ago
- Health
- The Hindu
Health professionals' skills to detect benign tumours drop after using AI for 3 months, study finds
Frequent reliance on artificial intelligence may lead to the risk of losing skills, as indicated by a study that discovered a 20% decrease in the ability of experienced health professionals to detect benign tumour growths in colonoscopies when not using AI. Researchers from Poland, Norway, Sweden, and other European nations examined more than 1,400 colonoscopies — approximately 800 were conducted without AI assistance, while 650 utilised AI during the procedure. A colonoscopy is used to inspect the large intestine, encompassing the colon and rectum, for disease. The study compared colonoscopies performed three months prior to and following the integration of AI. Three months after becoming reliant on AI for support, the detection rate of adenomas -- a non-cancerous tumour -- during standard colonoscopy decreased significantly from 28.4 per cent before to 22.4 per cent after exposure to AI, the authors stated in their study published in The Lancet Gastroenterology and Hepatology journal. While studies have shown that using AI can help doctors and clinicians in improving cancer detection, the study is the first to "suggest a negative impact of regular AI use on healthcare professionals' ability to complete a patient-relevant task in medicine of any kind," author Marcin Romanczyk, Academy of Silesia in Poland, said. "Our results are concerning, given that the adoption of AI in medicine is rapidly spreading. We urgently need more research into the impact of AI on health professionals' skills across different medical fields," Romanczyk said. Author Yuichi Mori from the University of Oslo, Norway, said the results posed "an interesting question" related to previous trials, which found that an AI-assisted colonoscopy allowed for a higher tumour detection, compared to one that did not use AI's help. "It could be the case that non-AI-assisted colonoscopy assessed in these trials is different from standard non-AI-assisted colonoscopy as the endoscopists in the trials may have been negatively affected by continuous AI exposure," Mori said. The authors emphasised the necessity for additional research to comprehend the dynamics involved when healthcare professionals and AI systems are not effectively synchronised. In a commentary article related to the research, Dr Omer Ahmad from University College London, who was not involved in the study, said the findings "temper the current enthusiasm for (a) rapid adoption of AI-based technologies." The results provide the "first real-world clinical evidence for the phenomenon of deskilling, potentially affecting patient-related outcomes" and "highlight the importance of carefully considering possible unintended clinical consequences," Dr Ahmad said. "Although AI continues to offer great promise to enhance clinical outcomes, we must also safeguard against the quiet erosion of fundamental skills required for high-quality endoscopy," the author added.
Rhyl Journal
3 days ago
- Health
- Rhyl Journal
Using AI tools can ‘deskill' certain health workers
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. Some people feel anxious or worried when they're told they need a colonoscopy but it's important to have this test if you're referred. That's why @bowelcanceruk have launched the Colonoscopy Confidence campaign to help. Find out more: — Integrated Care Northamptonshire (@ICNorthants) January 21, 2022 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.'
Leader Live
3 days ago
- Health
- Leader Live
Using AI tools can ‘deskill' certain health workers
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. Some people feel anxious or worried when they're told they need a colonoscopy but it's important to have this test if you're referred. That's why @bowelcanceruk have launched the Colonoscopy Confidence campaign to help. Find out more: — Integrated Care Northamptonshire (@ICNorthants) January 21, 2022 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.'
Powys County Times
3 days ago
- Health
- Powys County Times
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. Some people feel anxious or worried when they're told they need a colonoscopy but it's important to have this test if you're referred. That's why @bowelcanceruk have launched the Colonoscopy Confidence campaign to help. Find out more: — Integrated Care Northamptonshire (@ICNorthants) January 21, 2022 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.'
