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Artificial intelligence (AI) technology has made great strides in many fields, especially healthcare . Not only does it assist doctors in medical examinations, AI also helps improve the quality of healthcare for patients.

Artificial intelligence (AI) technology has made great strides in many fields, especially healthcare. Not only does it assist doctors in medical examinations, AI also helps improve the quality of healthcare for patients.

Early detection of difficult cases

According to Prof. Dr. Pham Minh Thong, President of the Vietnam Association of Radiology and Nuclear Medicine, imaging diagnosis is one of the leading applications of AI in medicine. AI can help detect diseases quickly and accurately, helping doctors save time and detect small lesions that are difficult to detect with the naked eye.

Associate Professor, Dr. Dao Viet Hang, Endoscopy Center ( Hanoi Medical University Hospital) shared that in addition to X-rays, many hospitals have applied software integrated with AI algorithms to help detect liver cancer through CT-scanner or magnetic resonance imaging, and diagnose the stage of rectal cancer. In the field of endoscopy and pathology, AI has helped reduce errors and improve diagnostic accuracy.

Another example is smartphone applications for patients with diabetes, high blood pressure, and hepatitis B. AI reminds patients to take their medication on time, provides questionnaires to help stratify disease risk, detects early warning signs when patients are at risk of complications, helps patients connect early with medical facilities, reduces emergency situations, and improves treatment effectiveness.

AI plays an important role in early detection of cancer. Many major hospitals have applied AI to analyze patient imaging and genetic data, making accurate predictions about the risk of cancer.

Master, Doctor CKII Chu Tan Sy, Head of Neurosurgery Department (Neurology Center, Tam Anh General Hospital, Ho Chi Minh City) said that in the past, classic brain surgery methods such as Navigation positioning and microsurgery could not see nerve fiber bundles in relation to tumors or hematomas during surgery, leading to the risk of cutting nerve fiber bundles, causing severe sequelae for patients. With the development of technology, the new generation Modus V Synaptive brain surgery robot applying AI at a sophisticated level has overcome these limitations. The robot helps doctors clearly observe tumors, nerve fiber bundles, and healthy brain tissue on the same 3D image, before, during, and after surgery.

The robot allows the doctor to simulate surgery in a 3D environment before performing the actual surgery, helping to proactively choose a safe approach to the tumor and avoid damaging important nerves. The robot continuously monitors the surgery, warning the doctor with a light signal to ensure correct operation with the surgical path established during the simulation, helping to increase safety. This brings superior treatment efficiency, helping the doctor to remove the tumor to the maximum and preserve the patient's brain function to the highest level.

Solution to the problem of medical staff shortage

According to the World Health Organization (WHO), by 2030, there will be a shortage of about 18 million health workers globally, posing a major challenge to the health sector. A potential solution is to apply AI in medical examination and treatment, helping to support doctors in diagnosis and treatment, reducing the workload for medical staff and improving the efficiency of patient care.

As infectious disease outbreaks threaten global health, AI plays a key role in detecting infectious diseases, especially tuberculosis. In areas with a shortage of specialist doctors, AI-enabled X-ray machines can detect tuberculosis lesions quickly and accurately.

In Vietnam, the application of AI in detecting tuberculosis has achieved remarkable results. Associate Professor, Dr. Dinh Van Luong, Director of the Central Lung Hospital, said that AI is attached to X-ray machines, helping to detect tuberculosis early, doubling the effectiveness of disease detection. This is especially useful in district-level medical facilities, remote areas, where there is a shortage of tuberculosis specialists.

In the field of musculoskeletal system, according to Associate Professor, Dr. Le Manh Cuong, Director of Tue Tinh Hospital (Vietnam Academy of Traditional Medicine), the hospital is also updating Al, robots in the treatment of musculoskeletal diseases, rehabilitation, combined with traditional medicine solutions.

At Hanoi Medical University Hospital, doctors use AI to analyze ultrasound images, computed tomography (CT) scans, and magnetic resonance imaging (MRI) to detect breast cancer early. AI helps detect small tumors that are not visible with traditional methods, helping doctors make timely diagnoses and apply appropriate treatments. As a result, patients receive early treatment, have a higher survival rate, and minimize unnecessary risks.

At Hung Vuong Hospital, AI is used to monitor the health of diabetic patients. This system can analyze physiological indicators such as blood sugar levels, heart rate and blood pressure, alerting doctors to unusual changes, helping doctors intervene promptly and prevent dangerous complications.

Source: https://baodautu.vn/ai---tro-ly-dac-luc-cua-cac-blouse-trang-d249219.html