The use of AI in medicine is being announced as an increasingly promising change as it is expected to make diagnosis faster. It seamlessly integrates patient medical records across the system, reading, deciphering images, aiding medical modeling, and perhaps helping surgeons.
Of the many areas of medicine that AI is already beginning to help, obstetrics and gynecology is what it seems to be in the cusp of the revolution.
How about this?
Abha Majamdal, director and human reproductive director of IVF Centre at Sar Ganga Ram Hospital, Ganga Ram Hospital, New Delhi, AI is increasingly being used in gynecology for a variety of applications such as diagnosis, treatment planning, patient care and more. “Currently, AI-powered tools are being used for tasks such as AA image analysis, predictive modeling, personalized medicine, and more. Over the next five to ten years, we can expect that AI will become even more essential for gynecology.
Sunita Tendulwadkar, chairman of the Indian Society of Obstetrics and Gynecology, explains that AI has become a trusted assistant. “AI is a 21st century stethoscope,” she says. Using wisely, she added that doctors can provide safer, personalized women's healthcare, from municipal hospitals to the last tribal settlement. But she says, “It amplifies our senses, but it never replaces the mind or mind of a doctor.”
AI Applications
In one generation, doctors have moved from paper charts to algorithms that predict complications before complications occur, according to Dr. Tendulwadkar. Today, AI models built from routine prenatal data can alert doctors of the risk of pre-lamp or postnatal bleeding several weeks earlier than the old scoring system.
When analyzing the data, the ultrasound machine comes with an “automatic measure” button that captures a standard fetal plane in seconds. She points out that systems such as Sonocns can automatically segment the fetal heart or brain, label all chambers, and “pass accurate biometrics while I still hold the probe.”
“Of course I'm still reviewing all the images, but the heavy lifting is already done while I'm sitting to report,” she says.
AI can also help interpret ultrasound images to check for abnormalities and assess risks when dealing with high-risk pregnancy. AI can also help predict the likelihood of premature birth and assess the risk of complications such as hypertension and organ damage.
It also helps in building individual treatment plans for conditions such as PCOS and menopause symptoms, says Dr. Majumdar.
Herai Gupta, division, division, obstetrics and gynecology, Artemis Dachgzils, Delhi and AI are undoubtedly “welcome tools” in gynecology practice. It's much easier to rely on AI bots to sift through huge amounts of literature while reaching a diagnosis. In the settings, AI utilities are limited, at least in my field,” she says.
Bandana Sodi, Director of Obstetrics and Gynecology, Delhi, Fortis La Famme and Obstetrics and Gynecology, added that AI can help reduce maternal/neonatal morbidity. “Real-time AI-powered fetal monitoring continuously analyzed fetal heart rate during labor, quickly detecting abnormalities, resulting in an 82% reduction in stillbirth,” she says.
Is AI excellent at diagnosing cancer?
When it comes to mammograms, AI may be faster, but it's not necessarily better, says Dr. Helai. She explains that mammograms are designed to be sensitive and can give false positives in cases of boundaries. “AIs can be diagnosed or 'undiagnosed' and can do that faster, but they may lack the empathy and human skills needed to put together patient-specific personal information that could request a second scan or change simple reports,” she says.
According to a paper published in an online journal, AI neural networks accurately recognize almost 100% of abnormalities associated with ovarian cancer, compared to ultrasound screening tests that detected abnormal results in <5% and <5%. cancer Published by MDPI. Large randomized trials from Sweden and the UK show AI that has acquired up to 20% of cancer without increasing misinformation, says Dr. Tendulwadkar.
“The direction is clear. The standard will soon be one radiologist and an AI safety net, rather than double loading every film,” she says.
IVF's ai
A US couple who had “ai-Assisted Pregnancy” recently made headlines, but what is the science behind this? According to media reports, couples who had been trying to conceive for 18 years had undergone several in vitro fertilization or IVF. In the IVF process, female eggs are removed and combined with laboratory sperm to create an embryo and implanted into the uterus. However, their IVF attempts have failed, but due to the azos plant, it is a rare condition in which the sample has no measurable sperm in place of hundreds of millions of sperm. Finally, after hours of useless meticulous searches under a microscope of sperm from husband's samples at the Fertility Center at Columbia University in the US, AI was used to identify and retrieve three sperm that was used to fertilize the wife's eggs. Women were the first to allow for successful pregnancy under the novel “Star” Act. The baby is scheduled for December.
AI is used to identify the most viable oocytes and embryos (people who are likely to lead to pregnancy) when selecting the correct timing for embryo transfer into the uterus.
Nandita Parshetkar, medical director and IVF specialist at Liravati Hospital in Mumbai, said, “AI offers incredible new tools at IVF.
Ashwani Kale, director of Asha Kiran Hospital, Pune's Asha Kiran Hospital and Asha IVF Center, added that improving embryo selection using AI could quickly replace the need for invasive testing. ”
Risk and privacy concerns
There are also privacy and data concerns regarding AI use. Especially in regards to confidentiality, Dr. Majumdal says there is an important need for responsible AI in gynecology. “AI systems require access to sensitive patient data, which needs to be protected from unauthorized access and misuse. Patient consent is important to build trust in AI-powered healthcare solutions.”
Data shared on the Internet will live forever, Dr. Herai Gupta warns, repeating the need to delete patient identifiers and personal information to maintain confidentiality.
Dr. Tendulwadkar emphasizes the need to fine-tune AI tools to Indian states and Indian women to respect “diversity of physical habits and disease patterns.”
Another potential threat Dr. Majumdar points out is the risk of bias in decision-making. “If AI systems are trained with biased data, they can lead to unequal treatment and outcomes for a particular patient population,” she says.
(Satyen Mohapatra is a senior journalist based in New Delhi. satyenbabu@gmail.com)
