Low-dose CT chest scans could help detect pneumonia in at-risk patients while exposing them to only small amounts of radiation, a new study has found. The research, published in Radiology: Cardiothoracic Imaging, shows that ultra-low-dose scans can effectively detect pneumonia in patients with compromised immune systems, enabling doctors to treat the infection before it becomes life-threatening. According to the researchers, these scans expose patients to just 2% of the radiation dose used in a standard CT scan.

"This study paves the way for safer, AI-driven imaging that reduces radiation exposure while preserving diagnostic accuracy,” lead researcher Dr Maximiliano Klug, a radiologist with the Sheba Medical Center in Ramat Gan, Israel, said in a news release. He added that CT scans are the gold standard for detecting pneumonia but there are concerns regarding the risk posed by repeated exposure to radiation. There is a solution- ultra-low-dose CT scan. However, the problem is that these scans can be grainy and hard to read, researchers said.

Study Gives Solution To This

To overcome that, Klug's team developed an AI program that could help "de-noise" low-dose scans, making them sharper and easier to read. Between September 2020 and December 2022, 54 patients with compromised immune systems who had fevers underwent a pair of chest CT scans -- a normal dose scan and an ultra-low-dose scan. The AI program cleaned up the low-dose scan, and then both sets of images were given to a pair of radiologists for assessment. Radiologists had 100% accuracy in detecting pneumonia and other lung problems with the AI-cleaned low-dose scans, but 91% to 98% accuracy in examining the scans that hadn’t been improved through AI, results show.

"This pilot study identified infection with a fraction of the radiation dose," Klug said. "This approach could drive larger studies and ultimately reshape clinical guidelines, making denoised ultra-low dose CT the new standard for young immunocompromised patients.

How Can You Detect Pneumonia?

Pneumonia is a lung infection that causes the air sacs in the lungs to fill with fluid or pus and can be caused by bacteria, viruses, or fungi. The symptoms can range from milk to severe, which includes:

Coughing with or without cough

Fever

Chills

Trouble breathing

Chest pain, especially when breathing deeply or coughing

Sweating or chills

Rapid heart rate

Loss of appetite

Bluish skin, lips, and nails

Confusion.

How to detect Pneumonia in coughing newborns and toddlers?

Pneumonia can severely affect newborns and young children as their lungs are comparatively more sensitive. As per Dr Goyal, young children can cough for various reasons including seasonal infections and tonsillitis, which is very common in this age group. But if they look visibly irritable and have poor sleep patterns, then parents must reach out to an expert. "I am not saying that parents must visit a hospital but any local paediatrician would be able to detect pneumonia in your kid.

In a serious caution to the public, Dr Uma Kumar, Head of Rheumatology at AIIMS New Delhi, has warned against using AI chatbots such as ChatGPT for medical self-diagnosis. As reported by Hindustan Times, she issued the warning while speaking to the media after a recent case at the institute exposed the risks of acting on automated health advice.

The concern followed an incident in which a patient developed severe internal bleeding after treating back pain based on suggestions generated by an AI chatbot. The patient consumed non-steroidal anti-inflammatory drugs without consulting a doctor or undergoing basic medical tests.

When AI Advice Turns Dangerous

According to doctors at AIIMS, the patient relied on an AI tool to manage persistent back pain instead of seeking clinical care. The chatbot recommended commonly used painkillers, which the patient purchased and took independently.

As Hindustan Times noted, the AI system had no access to the patient’s medical history or their risk of stomach and intestinal complications. What appeared to be a routine solution resulted in a life-threatening episode of internal bleeding.

Doctors say this reflects a growing pattern, where quick online answers are replacing medical evaluation, even for drugs that are widely available over the counter.

Why Medical Diagnosis Is Not Data Matching

Dr Kumar explained that medical diagnosis follows a structured process known as diagnosis by exclusion. Doctors rule out possible causes through examinations, laboratory tests, imaging, and patient history before deciding on treatment.

An AI model, however, works by identifying patterns in data. It cannot examine a patient, detect physical warning signs, or judge whether a symptom points to a deeper problem. In this case, proper investigations would likely have revealed a high risk of bleeding, a step that was entirely bypassed.

The Risk of Confident but Incorrect Guidance

Medical experts are increasingly concerned about what are often called AI hallucinations, where chatbots present information with confidence despite gaps or inaccuracies.

While platforms such as ChatGPT include disclaimers, their tone can appear authoritative, particularly to someone in pain. As highlighted by Hindustan Times, the recommendation to use NSAIDs was not unusual in general practice, but for this patient, it proved dangerous.

Without a doctor to check for contraindications or underlying conditions, even a common suggestion can lead to serious harm.

Doctors Call for Caution and Clearer Oversight

The incident has renewed debate over how AI platforms should handle health-related queries. AIIMS doctors are urging the public to treat online tools as sources of general information rather than personal treatment guides.

Experts believe AI can assist healthcare in limited roles, such as research support or administrative tasks, but should never replace professional diagnosis or supervision.

There are also calls for stronger public awareness and clearer regulation to prevent similar incidents. Doctors continue to stress that medical judgment, built on examination and evidence, cannot be replaced by algorithms.

The Delhi High Court has turned down a Japanese company’s attempt to secure a patent for a cancer detection technique that relies on nematodes, or roundworms, ruling that it falls under diagnostic processes that cannot be patented under Indian law, regardless of how novel or non-invasive it may be.

Hirotsu Bio Science approached the High Court after India’s Controller of Designs and Patents rejected its patent application in August 2023, stating that the invention did not meet the criteria laid out in the Patents Act, 1970. In a detailed 25-page judgment delivered on Saturday, Justice Tejas Karia reaffirmed Section 3(i) of the Act, which clearly bars the patenting of diagnostic methods.

What Is the Nematode-Based Cancer Detection Method?

The nematode-based cancer detection method is a research-stage technique that uses microscopic roundworms, known as nematodes, to detect the presence of cancer. These organisms possess a highly developed sense of smell, allowing them to pick up on specific chemical cues released by cancer cells in bodily samples such as urine, breath, or tissue, as per Science Direct.

Laboratory experiments have shown that certain nematodes tend to move towards samples taken from individuals with cancer while avoiding those from healthy people. The underlying idea is that cancer changes the body’s chemical profile, creating odour patterns that these worms can detect, sometimes even at an early stage.

Scientists have looked at this approach as a potentially affordable and non-invasive screening option. However, it remains a concept under study and has not yet been accepted as a reliable medical test or used in routine clinical care.

Delhi HC Upholds Patent Rejection of Nematode-Based Cancer Detection Method

At the centre of the case was a patent application titled “Cancer detection method using the sense of smell of nematode.” Nematodes, often referred to as roundworms, are among the most widespread life forms on the planet and can be found in environments ranging from soil to living organisms.

The Japanese company aimed to patent a technology based on the biological response of Caenorhabditis elegans, a species of nematode recognised for its advanced olfactory abilities.

The firm explained that its invention relies on the chemotaxis of these worms, meaning their tendency to move towards or away from certain scents, which would serve as a biological signal for the presence of cancer.

According to the company, the nematodes showed avoidance behaviour when exposed to urine from healthy individuals, while being drawn towards urine samples from cancer patients. It claimed the method demonstrated complete accuracy during testing and could detect several cancers, including gastric, colorectal, and pancreatic cancers, even at very early stages.

Is This Process Patentable in India?

The main legal question was whether the method qualified as a non-patentable “diagnostic process” under Section 3(i) of the Patents Act, 1970. This provision excludes from patent protection any process related to medicinal, surgical, curative, preventive, diagnostic, or therapeutic treatment of humans.

Hirotsu Bio Science Inc challenged the rejection by the Controller of Designs and Patents in the High Court, arguing that their invention should be seen as a “detection” method rather than a “diagnostic” one. The company maintained that the process was carried out entirely in a laboratory setting, using samples such as urine or tissue, and did not involve any direct medical procedure or clinical decision-making on the human body.

Health officials have issued a recall for the Live It Up Super Greens supplement powder after 45 people across 21 states were found suffering from salmonella across the US.

The Food and Drug Administration and Centers for Disease Control and Prevention issued an official recall on January 14 for the Live it Up Original and Wild Berry Super Greens dietary supplement powder flavors.

The affected products with expiration dates from August 2026 and January 2028 have been affected by this recall and include:

• Live it Up Super Greens, NET WT 8.5 oz (240g) with UPC 860013190804.
• Live it Up Super Greens, 30 – 0.28oz (8g) sticks, NET WT. 8.47 oz (240g) with UPC 850077468063
• Live it Up Super Greens, Wild Berry, NET WT 8.5OZ (240g), with UPC 860013190811
• Live it Up Super Greens, Wild Berry, 30 – 0.32oz (9g) Sticks, NET WT. 9.52oz (270g), with UPC 850077468070

Authorities has advised consumers to not eat, sell or serve the affected Live it Up-brand products and to contact the company for returns.

Additionally, officials are asking people to wash items and surfaces that may have touched the recalled super greens supplement powders using hot soapy water or a dishwasher.

Of the 45 illnesses, 12 resulted in hospitalizations, according to the FDA. No deaths linked to the recall have been reported.

What Is Salmonella?

Apart from this, other symptoms include:

• Fever
• Nausea
• Vomiting
• Chills
• Headache
• Blood in the stool

Most people develop symptoms within 8 to 72 hours after exposure while most healthy people recover within a few days to a week without specific treatment. However, in some cases, diarrhea can cause severe dehydration and requires prompt medical attention.

While anyone can contract salmonella, children younger than five, elderly and people with weakened immune systems are more likely to develop severe infections.

Is Salmonella Life-Threatening?

Life-threatening complications may develop if the infection spreads beyond the intestines to other organs. The risk of getting salmonella infection is higher with travel to countries without clean drinking water and proper sewage disposal.

While most people do not require medical attention for salmonella infection, those at high risk may need a health care provider if the infection lasts more than a few days, is associated with high fever or bloody stools and appears to be causing dehydration, with signs such as such as urinating less than usual, dark-colored urine as well as having a dry mouth and tongue.