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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: study

New AI Study Brings Hope to Gastric Cancer Treatment

New AI Study Brings Hope to Gastric Cancer Treatment

October 1, 2024October 2, 2024DistilINFO Hospital IT

New AI Technology Enhances Cancer Treatment: Introduction
In the field of cancer treatment, personalized medicine has become a crucial focus, with immunotherapy revolutionizing the treatment of many cancers. However, predicting which patients will respond positively…

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Sheba Medical, Mana.bio to Advance AI-Driven RNA Delivery

Sheba Medical, Mana.bio to Advance AI-Driven RNA Delivery

October 1, 2024October 1, 2024HIT Consultant

What You Should Know: 

– Sheba Medical Center, a leading Israeli hospital renowned for its medical innovation, and its innovation arm, ARC Innovation, have announced a collaborative research agreement with Mana.bio. 

– The partnership aims to…

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FOMO Drives AI Investment in Healthcare, Despite Trust Concerns

FOMO Drives AI Investment in Healthcare, Despite Trust Concerns

October 1, 2024October 1, 2024HIT Consultant

What You Should Know: 

– A new study by intelligent automation company ABBYY reveals that fear of missing out (FOMO) is a major factor driving AI investment in healthcare. 

– The study reveals that 57% of…

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Study: Consumer satisfaction varies with telehealth offerings

Study: Consumer satisfaction varies with telehealth offerings

September 30, 2024October 1, 2024MobiHealthNews

The J.D. Power 2024 U.S. Telehealth Satisfaction Study released on Thursday shows a slight decrease, down 1% from last year, in patient satisfaction with direct-to-consumer telehealth providers and a substantial increase, up 18%, in…

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AI algorithm could aid drug discovery, find researchers

AI algorithm could aid drug discovery, find researchers

September 30, 2024September 30, 2024Digital Health

Researchers at King’s College London and Imperial College London have developed an AI algorithm that could help aid drug discovery.
The computer-based tool, named Drug Synthesis using Monte Carlo (DrugSynthMC), expands the diversity within drug…

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Claim Denials Surge as Healthcare Providers Struggle with Tech Adoption

Claim Denials Surge as Healthcare Providers Struggle with Tech Adoption

September 30, 2024September 30, 2024HIT Consultant

What You Should Know: 

– A new Experian Health study reveals a concerning trend in the healthcare industry: claim denials are on the rise, and healthcare providers are increasingly hesitant to embrace technology solutions that…

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An indirect treatment comparison meta-analysis of digital versus face-to-face cognitive behavior therapy for headache

An indirect treatment comparison meta-analysis of digital versus face-to-face cognitive behavior therapy for headache

September 29, 2024September 29, 2024npj Digital Medicine

Cognitive behavioral therapy (CBT) is effective for headache disorders. However, it is unclear whether the emerging digital CBT is noninferior to face-to-face CBT. An indirect treatment comparison (ITC) meta-analysis was conducted to assess the…

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Comparison of NLP machine learning models with human physicians for ASA Physical Status classification

Comparison of NLP machine learning models with human physicians for ASA Physical Status classification

September 28, 2024September 28, 2024npj Digital Medicine

The American Society of Anesthesiologist’s Physical Status (ASA-PS) classification system assesses comorbidities before sedation and analgesia, but inconsistencies among raters have hindered its objective use. This study aimed to develop natural language processing (NLP)…

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A framework for human evaluation of large language models in healthcare derived from literature review

A framework for human evaluation of large language models in healthcare derived from literature review

September 28, 2024September 28, 2024npj Digital Medicine

With generative artificial intelligence (GenAI), particularly large language models (LLMs), continuing to make inroads in healthcare, assessing LLMs with human evaluations is essential to assuring safety and effectiveness. This study reviews existing literature on…

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Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs

Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs

September 28, 2024September 29, 2024npj Digital Medicine

Personal and family history of suicidal thoughts and behaviors (PSH and FSH, respectively) are significant risk factors associated with suicides. Research is limited in automatic identification of such data from clinical notes in Electronic…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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