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.

The Union Ministry of Health and Family Welfare has proposed three separate amendments to the Drugs Rules, 1945, to strengthen pharmaceutical quality control, manufacturing accountability and patient safety.

The proposals include immediate suspension of manufacturing licences for drugs failing specified critical quality tests, stricter microbial monitoring in sterile manufacturing areas, and mandatory authorisation of qualified personnel for batch release.

The announcements aim to strengthen India's drug regulatory framework and align manufacturing standards with international guidelines.

Immediate Suspension Of Licences For Drugs Failing Critical Quality Tests

Also read: India To Introduce QR Code Verification for Vaccines And Cancer Drugs: Here's What Patients Can Check

In a significant move to enable faster action against substandard medicines, the Ministry has proposed immediate suspension of manufacturing licences for drugs declared Not of Standard Quality (NSQ) on specified critical parameters.

Under the existing provisions, suspension or cancellation of a manufacturing licence involves a prescribed regulatory process, including the issuance of a show-cause notice. This can create a time gap between the identification of a quality failure and regulatory action, during which the drug may remain in circulation.

To address this, the proposed amendment would allow the Central Licensing Approving Authority or the State Licensing Authority, as applicable, to immediately suspend the manufacturing licence upon receiving a Government Analyst's report declaring a drug NSQ on any of the following parameters:

• Assay
• Dissolution
• Related substances
• Impurities
• Sterility

These parameters are critical to determining the quality and safety of medicines. The proposed provision seeks to enable prompt intervention and minimise potential risks to patients.

Stricter Microbial Monitoring In Sterile Drug Manufacturing

Read More: Centre Bans Cough & Cold Medicines For Children Under 4: What Parents Need To Know

The Ministry has proposed amendments to Schedule M of the Drugs Rules, 1945, to revise microbial contamination limits in Grade A clean areas in line with the World Health Organization's (WHO) Good Manufacturing Practices (GMP) guidelines for sterile pharmaceutical products.

Grade A areas are critical zones in sterile pharmaceutical manufacturing, where exposed products, containers and sterilised components are handled. Maintaining strict microbial controls in these areas is essential to preventing contamination and ensuring product safety.

The proposed revision addresses differences between the existing Schedule M requirements and WHO guidelines. It also provides for any microbial growth detected in Grade A areas to trigger an investigation, in accordance with WHO guidance.

The amendment aims to strengthen contamination monitoring and bring India's sterile manufacturing standards in line with internationally recognised benchmarks.

The development comes in the backdrop of an episode involving India’s biggest drug maker Sun Pharma, which was recently ordered to halt production at its manufacturing plant in Assam after reports of contamination in some of the eye drops made there.

Mandatory Authorization For Drug Batch Release

In another proposal, the Ministry has sought to make it mandatory for drug manufacturers to formally designate a suitably qualified and experienced person responsible for batch release.

Although manufacturers are currently required to provide details of competent technical staff responsible for manufacturing and testing while applying for licences, the rules do not specifically require them to identify the person authorised to release drug batches.

Under the proposed framework, manufacturers applying for licences under the relevant provisions of the Drugs Rules, 1945, would have to:

• Designate a qualified and experienced person responsible for batch release.
• Maintain prescribed records for every batch manufactured.
• Follow a prescribed format for the Batch Release Certificate.

Batch release is a critical stage in pharmaceutical manufacturing. It involves reviewing quality parameters and relevant documentation before a batch is cleared for distribution.

The proposed requirements seek to establish clear accountability for batch-release decisions, improve traceability and strengthen quality assurance.

The World Health Organization (WHO) has reported significant global progress against neglected tropical diseases (NTDs), with fewer people requiring treatment. However, the rising burden of dengue remains a major concern.

The Global Report on Neglected Tropical Diseases 2026 found that 63 countries had eliminated at least one NTD by June 2026, up from 42 at the end of 2020.

“Elimination of neglected tropical diseases is one of the standout success stories of global health,” said Dr Tedros Adhanom Ghebreyesus, WHO Director-General.

However, he warned that these gains could be lost without increased domestic financing, sustained external support and the integration of NTD services into primary healthcare.

Global Progress Against NTDs

Also read: World Chagas Disease Day: Women Key To Prevent, Eliminate The Fatal Neglected Tropical Disease

The number of people requiring interventions for NTDs fell to 1.41 billion in 2024, a 36% decline since 2010 and a 19% decline since 2020.

Cases of sleeping sickness have dropped by 98% since 1999, while Guinea worm disease recorded just 10 human cases in 2025, its lowest number yet.

Between 2021 and 2025, 31 countries eliminated at least one NTD. Of these, 16 received WHO recognition for the first time. Between January and June 2026, five more countries received recognition: Algeria, Australia, Libya and Tunisia for trachoma, and Chile for leprosy.

By June 2026, 42 countries had eliminated one disease each, 16 had eliminated two, four had eliminated three and one country, Togo, had eliminated four.

India has eliminated three NTDs: Guinea worm disease in 2000, yaws in 2016 and trachoma in 2024.

Why Dengue Remains A Concern

Read More: Dengue Is Spreading Beyond Monsoons And Into New Regions Across India, Says Expert

Despite progress against several NTDs, the report highlights uneven progress, with these diseases continuing to disproportionately affect the world's poorest and most vulnerable communities.

Dengue remains a major concern. Cases of the mosquito-borne disease reached a record 15.1 million in 2024, up from 2.74 million in 2020.

Locally acquired cases were reported across all six WHO regions. The organisation also classified dengue as a Grade 3 emergency, its highest emergency level, in 2024.

The Region of the Americas accounted for most reported cases, with Brazil contributing the largest share of the regional burden.

WHO said climate and environmental change, rapid and often unplanned urbanisation, population movement and the geographical expansion of Aedes mosquitoes are contributing to the spread of dengue.

WHO also warned that the geographical expansion of dengue into previously unaffected populations increases the risk of severe disease from secondary infections, making health system preparedness and the management of severe cases increasingly important.

In 2024, 12,554 deaths were reported across dengue, visceral leishmaniasis and chikungunya, against the 2030 target of 1,291 or fewer annual deaths.

Dengue accounted for 11,827 of these deaths, followed by visceral leishmaniasis (482) and chikungunya (245). Compared with the 2016 baseline of 5,163 deaths, reported deaths from these three diseases increased by 143.2%.

Other NTD Targets Remain Off Track

READ: Milestone In Kala-Azar Treatment: WHO Updates Treatment Guidelines, Recommends Shorter & Safer Regimens

The report also identified several challenges to achieving the 2030 targets. Deaths from vector-borne NTDs have increased, while progress towards yaws eradication remains off track. Only three disease-specific indicators achieved their 2025 milestones.

The WHO's 2021–2030 road map aims to:

• Reduce by 90% the number of people requiring NTD interventions

• Reduce NTD-related disability and premature deaths by 75%.

• Enable 100 countries to eliminate at least one NTD

• Eradicate Guinea worm disease and yaws

With five years remaining to meet these targets, WHO called for accelerated action, increased domestic financing and the integration of NTD interventions into universal health coverage to protect progress and address persistent gaps.

Utah has become the first US state to authorise an artificial intelligence (AI) system to issue prescriptions for certain medications, marking a significant development in the use of AI in healthcare.

The pilot programme allows Nolla Health, a healthcare technology startup, to use its AI-powered dermatology app, Nolla Derm, to examine adults with mild-to-moderate acne and recommend prescription treatments without requiring an doctor's and supervision.

The programme is currently limited to adults aged 18 and above in Utah and covers a small list of topical acne medications. However, the initiative is significant as AI systems can eventually issue prescriptions without a doctors reviewing every case beforehand.

The development has also raised questions about whether AI can make decisions that are normally made by licensed medical professionals, especially when a prescription depends on assessing a patient's symptoms, medical history and treatment risks.

How Does Utah's AI Prescription Work?

Patients using Nolla Derm are required to verify their identity, provide informed consent and complete a medical questionnaire. They then submit photographs of their face through the app.

The AI system analyses the images to check acne severity and combines this information with the patient's medical history to determine whether treatment is appropriate.

It can then select from a limited list of topical acne treatments approved by physicians and generate a prescription.

The programme is being introduced in three stages, with different levels of medical supervision.

• First 100 patients: Two Utah-licensed physicians independently review and approve every AI-generated prescription before it is sent to a pharmacy.
• Next 400 patients: The AI can issue prescriptions directly and physicians will review cases retrospectively.
• Subsequent patients: Physicians review at least 10% of prescriptions each month, along with cases involving complications or side effects.

Advancing in stages requires the company to meet safety targets, including at least 95% agreement with physician assessments and no serious adverse events, as well as written approval from the state. Patients can also contact a licensed physician through the app.

Also read: Woman With Epilepsy Dies After Following ChatGPT’s Advice To Stop Medication: Why AI Cannot Replace A Doctor

Patient Safety Concerns

While AI can analyse information quickly, prescribing medication involves more than identifying a condition and selecting a drug. Doctors consider a patient's medical history, allergies, existing medications, and other health conditions. There are several concerns surrounding the use of AI for these decisions.

1. Incorrect diagnosis

An AI system assessing acne through photographs may not always be able to distinguish it from other skin conditions. Some skin disorders require different treatments or deeper medical investigation.

If the system incorrectly classifies a condition as acne, a patient could receive inappropriate medication, which could delay correct diagnosis.

Also read: New AI Tool Uses Facial Photos To Predict Cancer Patients’ Survival Risk

2. Missing important medical details

A prescription may be unsuitable because of a patient's allergies, medical history, pregnancy status or other medications.

Although Nolla Derm collects medical information through a questionnaire, questions remain about whether an automated system can consistently identify important details.

Also read: AI-Created Virus Injected Into A Human For The First Time To Fight Antibiotic Resistance

3. Delayed treatment

Not every skin problem is acne. Some lesions or changes in the skin may require an examination to rule out other conditions, including skin cancer.

If patients rely on an automated assessment instead of seeking medical attention, there is a risk that a condition could be overlooked and its diagnosis could be delayed.

4. Limited ability to detect complications

Patients may experience side effects after starting treatment. An AI system may not be able to assess these developments as comprehensively as a clinician who can examine the patient, order investigations or modify treatment.

5. Accountability when something goes wrong

Another concern is determining who is responsible if an AI-generated prescription causes harm. The Utah pilot includes oversight and malpractice insurance requirements, but the bigger question of accountability remains an important issue.

Doctors Question Whether AI Should Prescribe Without Human Oversight

Also read: AI May Suggest 3 Times More Expensive Medical Tests And Drugs Than Doctors, New Study Finds

The initiative has prompted concerns among medical professionals about how much responsibility AI systems should be given in healthcare. John Whyte, chief executive of the American Medical Association (AMA), has questioned whether AI should independently make medical decisions.

"These tools can play a very effective role, but they shouldn't autonomously be trying to practice medicine, and if they are, then they need to be held to very high standards, just as humans are," he told the Los Angeles Times. "And I don't think they can meet that burden," he added.

Earlier in 2026, Utah authorised another AI pilot involving prescription refills through the healthcare startup Doctronic. The programme attracted criticism from the state's Medical Licensing Board, which raised concerns about allowing AI to handle medication decisions without medical professionals.

Can AI Prescribing Improve Access To Healthcare?

Supporters argue that AI could help address gaps in access to medical care, especially for conditions that are commonly straightforward.

Zach Boyd, director of Utah's Office of Artificial Intelligence Policy, said the programme was designed to encourage healthcare innovation while maintaining safeguards.

"The Nolla Health pilot program represents a significant step forward in leveraging AI to improve healthcare access for Utahns, while maintaining rigorous oversight and safety," he said. "Our office facilitates innovative AI solutions while ensuring that public health and patient safety remain paramount."

Nolla's chief medical adviser, Dr Zaid Fadul, also highlighted the importance of independent oversight.

"The real test for AI in healthcare isn't how smart it is. It's whether someone other than the company can shut it off," he said.

"In Utah, the state can, and physicians can. That's the standard every AI in medicine should meet."