<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Because of AI</title><description>A registry of measured AI benefits to people, with what did not work and what is not yet proven.</description><link>https://becauseofai.org</link><language>en</language><item><title>Because of AI, the Hurricane Center called a Category 5 landfall in Jamaica about three days out, while Melissa was still a Category 1.</title><link>https://becauseofai.org/entry/hurricane-melissa-2025</link><guid isPermaLink="true">https://becauseofai.org/entry/hurricane-melissa-2025</guid><description>NHC forecasters explicitly forecast Category 5 intensity while Melissa was an 80-mph Category 1, largely on the strength of Google DeepMind&apos;s cyclone model, which posted the lowest track and intensity errors of any model for the 2025 Atlantic season and kept the official forecast below its five-year average error while NOAA&apos;s GFS had its worst year in two decades. Effect: Lowest season track and intensity error of any model; roughly one extra day of forecast accuracy in 2023–2025 hindcasts.</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>disaster</category></item><item><title>Because of AI, there were an estimated 841 fewer injury-causing crashes across 270 million driverless miles.</title><link>https://becauseofai.org/entry/waymo-injury-crashes</link><guid isPermaLink="true">https://becauseofai.org/entry/waymo-injury-crashes</guid><description>Waymo&apos;s safety hub through June 2026 reports 82% fewer injury-causing crashes and 95% fewer serious-or-worse crashes than a geographically matched human benchmark, with roughly 134 of the 841 avoided injury crashes accruing in Q2 2026 alone (841 minus the 707 reported through March 2026). Effect: 82% fewer injury crashes; 95% fewer serious-or-worse (0.67 injury crashes per million miles vs ~3.77 benchmark; 841 fewer injury crashes lifetime).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>transport</category></item><item><title>Because of AI, a baby girl was born to a couple who had been told there was no sperm to work with.</title><link>https://becauseofai.org/entry/columbia-star-birth</link><guid isPermaLink="true">https://becauseofai.org/entry/columbia-star-birth</guid><description>Columbia&apos;s STAR system scanned 2.5 million images of a 3.5 mL sample in about two hours and found viable sperm where manual microscopy found none; the resulting pregnancy was confirmed in 2025, published in The Lancet in October 2025, and a healthy daughter was born in late 2025. Effect: ~40x more sperm recovered than manual search across cases reported by the team (1 live birth; sperm found in ~30% of azoospermia patients tested).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>medicine</category></item><item><title>Because of AI, 1,660 TB cases were found in Ethiopia between January 2025 and March 2026 in screening programs that had no radiologist to read the X-rays.</title><link>https://becauseofai.org/entry/ethiopia-tb-ai-cxr</link><guid isPermaLink="true">https://becauseofai.org/entry/ethiopia-tb-ai-cxr</guid><description>AI-read chest X-rays (CAD) served as the triage reader in MSH&apos;s Eliminate TB Project across four regions, contributing to 1,660 detected cases including asymptomatic infectious cases that symptom screening misses. Effect: Community AI screening yield &gt;5% vs &lt;0.1% routine clinical screening (program figures) (1,660 cases, Jan 2025–Mar 2026).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>medicine</category></item><item><title>Because of AI, TB case notifications rose 80% in a tribal district of Chhattisgarh, India, including 20 confirmed cases in people with no symptoms.</title><link>https://becauseofai.org/entry/india-tribal-tb-ai-cxr</link><guid isPermaLink="true">https://becauseofai.org/entry/india-tribal-tb-ai-cxr</guid><description>A prospective multi-centre study of qXR v3 chest X-ray reading found an 80.21% increase in TB notifications versus the Aug 2022–Mar 2023 baseline; of 51 asymptomatic people the AI flagged, 20 were confirmed to have TB, and over 40% of all AI-flagged patients were confirmed. Effect: +80.21% notifications (p&lt;.001) (162 confirmed cases; 44.6% positivity among AI-flagged).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>medicine</category></item><item><title>Because of AI, about a third of urgent skin-cancer referrals at some NHS hospitals got a same-day all-clear without waiting weeks for a dermatologist.</title><link>https://becauseofai.org/entry/nhs-derm-skin-cancer</link><guid isPermaLink="true">https://becauseofai.org/entry/nhs-derm-skin-cancer</guid><description>Skin Analytics&apos; DERM, the only AI with Class III CE certification for autonomous use, has assessed 250,000+ NHS patients, identified 25,000+ histology-confirmed cancers, and is expanding to all 18 NHS South East trusts (about 9 million more people) from autumn 2026. Effect: Discharge-without-appointment rate 26% with dermatologist second read → 37% autonomous (one hospital) (250,000+ assessed; 25,000+ cancers confirmed).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>medicine</category></item><item><title>Because of AI-assisted decision support, 10 fewer stroke patients per 1,000 had another stroke, heart attack, or vascular death within three months.</title><link>https://becauseofai.org/entry/golden-bridge-ii-stroke</link><guid isPermaLink="true">https://becauseofai.org/entry/golden-bridge-ii-stroke</guid><description>GOLDEN BRIDGE II (BMJ, March 2026) cluster-randomized 77 Chinese hospitals and 21,603 acute ischemic stroke patients; new vascular events at three months were 2.9% with the AI-imaging decision-support system vs 3.9% with usual care (adjusted HR 0.71), with the benefit holding through 12 months. Effect: 26% relative reduction (HR 0.71) (3.9% → 2.9%: 10 fewer events per 1,000 patients).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>medicine</category></item><item><title>Because of AI (plus tablets and pair work), junior secondary students in Sierra Leone gained about 0.26 standard deviations in math in eight weeks.</title><link>https://becauseofai.org/entry/sierra-leone-gemini-math</link><guid isPermaLink="true">https://becauseofai.org/entry/sierra-leone-gemini-math</guid><description>A preregistered classroom-level cluster RCT of 1,763 Grade 7–8 students in 48 classrooms across 12 Port Loko schools had treatment classes use Gemini&apos;s Guided Learning in pairs for about two of four weekly math lessons; the treatment group gained +0.258 SD on independently administered tests. Effect: +0.258 SD (described as ~1.2–1.7 years of typical progress).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>education</category></item><item><title>Because of AI, Swedish mammography screening found 29% more cancers with 44% less radiologist reading time, and 12% fewer cancers surfaced between screens.</title><link>https://becauseofai.org/entry/masai-ai-mammography</link><guid isPermaLink="true">https://becauseofai.org/entry/masai-ai-mammography</guid><description>MASAI, the first RCT of AI in cancer screening (105,934 women; Lancet, Jan 2026), reported interval cancers of 1.55 vs 1.76 per 1,000 with AI-supported reading vs standard double reading, with fewer invasive, T2+, and non-luminal-A interval cancers, on top of earlier results showing higher detection and lower workload at the same specificity. Effect: 12% fewer interval cancers (n.s.); 29% more screen-detected cancers; 44% workload reduction (1.55 vs 1.76 interval cancers per 1,000 (0.21 per 1,000 difference)).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>medicine</category></item><item><title>Because of AI, a man with ALS has spoken with his family and kept working from home for two years through a brain implant, at up to 99% word accuracy.</title><link>https://becauseofai.org/entry/ucd-als-speech-bci</link><guid isPermaLink="true">https://becauseofai.org/entry/ucd-als-speech-bci</guid><description>UC Davis&apos;s intracortical BCI uses deep-learning brain-to-text and cursor decoders with continuous fine-tuning; Nature Medicine (June 2026) documented Casey Harrell&apos;s near-daily unassisted use at home for roughly two years. Effect: Up to 99% word accuracy; ~2 years independent home use.</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>accessibility</category></item><item><title>Because of AI, stroke patients in England were 57% more likely to get a thrombectomy and reached specialist centres 64 minutes faster.</title><link>https://becauseofai.org/entry/nhs-stroke-ai-imaging</link><guid isPermaLink="true">https://becauseofai.org/entry/nhs-stroke-ai-imaging</guid><description>Across ~453,000 stroke admissions at 107 English hospitals over five years, patients whose imaging was reviewed with Brainomix 360 had higher thrombectomy odds (OR 1.57), median door-in-door-out of 128 vs 192 minutes, and a good outcome (mRS 0–2) at discharge of 47.1% vs 45.6% (OR 1.16). Effect: OR 1.57 for thrombectomy; OR 1.16 for good outcome (Good outcome 47.1% vs 45.6% (15 more per 1,000); DIDO 64 min shorter).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>medicine</category></item><item><title>Because of AI, 30 hearing-aid users understood far more words in heavy noise — according to the company that makes the device.</title><link>https://becauseofai.org/entry/fortell-ai-hearing-aids</link><guid isPermaLink="true">https://becauseofai.org/entry/fortell-ai-hearing-aids</guid><description>Fortell&apos;s neural source-separation hearing aid (launched Dec 2025) reports a pre-registered double-blind 30-person trial against Phonak&apos;s Audéo Infinio Sphere showing a 9.2 dB vs 3.1 dB signal-to-noise improvement on QuickSIN, alongside a 20-person blinded preference study published in the International Journal of Audiology (May 2026). Effect: 9.2 dB vs 3.1 dB SNR improvement; ~19x odds of correct word recognition (company figures) (Company-reported: 69%→90%, 31%→80%, 7%→50% words correct across noise levels).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>accessibility</category></item><item><title>Because of AI, Northumbrian Water stopped losing about 6.4 million litres of drinking water a day.</title><link>https://becauseofai.org/entry/fido-northumbrian-leaks</link><guid isPermaLink="true">https://becauseofai.org/entry/fido-northumbrian-leaks</guid><description>A six-month trial starting November 2025 placed FIDO Tech acoustic sensors on pipes, with AI classifying which underground sounds are leaks and directing crews; the utility reported early results of nearly 6.4 megalitres per day saved. Effect: ~6.4 ML/day (~25,000 bathtubs).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>infrastructure</category></item><item><title>Because of AI, Oman screened 43,000 diabetics for retinopathy, flagged 12,000 for treatment, and cut specialist waiting lists by 87%.</title><link>https://becauseofai.org/entry/oman-ai-retinopathy</link><guid isPermaLink="true">https://becauseofai.org/entry/oman-ai-retinopathy</guid><description>Oman&apos;s national AI diabetic-retinopathy screening program reported 43,000+ patients screened, ~30% referred for specialist examination, an 87% reduction in eye-clinic waiting lists, and 43.2% lower annual operating costs. Effect: −87% waiting list; −43.2% operating cost (43,000+ screened; 12,000+ referred).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>medicine</category></item><item><title>Because of AI, physicians using ambient scribes reported modestly less burnout, exhaustion, and task load in a 238-physician randomized trial.</title><link>https://becauseofai.org/entry/ambient-scribes-nejm-ai</link><guid isPermaLink="true">https://becauseofai.org/entry/ambient-scribes-nejm-ai</guid><description>NEJM AI (Dec 2025) randomized 238 outpatient physicians across 14 specialties to Microsoft DAX, Nabla, or usual care for two months; either scribe improved burnout, exhaustion, and task load, and Nabla reduced time-in-note. Effect: Modest improvements on burnout, exhaustion, task load (see paper for effect sizes).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>work</category></item><item><title>Because of AI, 284 UCLA clinicians reported modestly lower task load and burnout from a chart summarizer — while saving no time and mostly not recommending it.</title><link>https://becauseofai.org/entry/ucla-chart-summarizer-rct</link><guid isPermaLink="true">https://becauseofai.org/entry/ucla-chart-summarizer-rct</guid><description>A pragmatic RCT (Feb–May 2026) of Epic&apos;s generative chart summarization tool among 284 ambulatory clinicians found modestly reduced physician task load and lower burnout, no time savings, declining engagement, and a net promoter score of −22. Effect: Modest task-load reduction (primary endpoint met).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>because</category><category>work</category></item><item><title>An AI stethoscope rolled out to 205 NHS GP practices did not significantly increase heart-failure detection at 12 months.</title><link>https://becauseofai.org/entry/tricorder-ai-stethoscope-null</link><guid isPermaLink="true">https://becauseofai.org/entry/tricorder-ai-stethoscope-null</guid><description>TRICORDER (Lancet, Jan 2026) cluster-randomized practices covering 1.5 million patients; on intention-to-treat, heart failure, AF, and valve-disease detection did not significantly rise (1,342 vs 1,984 new HF cases overall), though patients actually examined with the device had roughly twice the HF detection and three times the AF detection. Effect: HF IRR ~0.94 (n.s.); subgroup examined: ~2x HF, ~3x AF detection.</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>not-because</category><category>medicine</category></item><item><title>Displaying AI deterioration-risk scores on a cardiology ward did not improve patient outcomes across 10,422 admissions.</title><link>https://becauseofai.org/entry/uva-comet-deterioration-null</link><guid isPermaLink="true">https://becauseofai.org/entry/uva-comet-deterioration-null</guid><description>A cluster-randomized trial at UVA (Scientific Reports, Feb 2026) showed CoMET risk trajectories on screens for intervention beds; event-free hours did not differ, and clinicians moved 11% of patients into or out of display beds, undermining the design. Effect: No significant difference in event-free hours or 21-day mortality.</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>not-because</category><category>medicine</category></item><item><title>AI-personalized computer-assisted learning did no better than non-personalized software for 8,647 rural Chinese primary students.</title><link>https://becauseofai.org/entry/china-ai-cal-null</link><guid isPermaLink="true">https://becauseofai.org/entry/china-ai-cal-null</guid><description>Stanford REAP and collaborators randomized 315 classes in 105 Sichuan schools to AI-personalized CAL, non-personalized CAL, or non-CAL activities; the AI arm showed no improvement in any ability tercile and may have been worse than plain CAL for the middle tercile. Effect: No significant effect of AI-CAL on math scores.</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>not-because</category><category>education</category></item><item><title>The first generative-AI-discovered drug entered Phase III in September 2026 — no AI-discovered drug has yet been approved anywhere.</title><link>https://becauseofai.org/entry/rentosertib-phase-3</link><guid isPermaLink="true">https://becauseofai.org/entry/rentosertib-phase-3</guid><description>Insilico dosed the first patient in GENESIS-IPF-3 (320 patients, 47 Chinese sites, 52-week FVC primary endpoint) for rentosertib in idiopathic pulmonary fibrosis after a Phase IIa signal published in Nature Medicine (2025).</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>not-yet</category><category>medicine</category></item><item><title>Every Cure&apos;s AI ranks 75 million drug–disease pairs; its patient wins so far came from clinicians or predate the window.</title><link>https://becauseofai.org/entry/every-cure-repurposing</link><guid isPermaLink="true">https://becauseofai.org/entry/every-cure-repurposing</guid><description>The nonprofit reviewed 9,000+ repurposing opportunities in 2025 and has ten active programs; the AI-identified adalimumab–Castleman case (NEJM) was February 2025, and the DFMO–Bachmann-Bupp program (six treated, five children improved) originated with the researchers who identified the disease.</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>not-yet</category><category>medicine</category></item><item><title>Three FireSat satellites launched in July 2026 to spot 5×5 m fires from orbit; no fire-response outcome has been measured yet.</title><link>https://becauseofai.org/entry/firesat-constellation</link><guid isPermaLink="true">https://becauseofai.org/entry/firesat-constellation</guid><description>The Earth Fire Alliance / Google constellation&apos;s pilot already spotted small blazes invisible to existing satellites; the three operational satellites launched July 7, 2026, with 50+ planned by 2030.</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>not-yet</category><category>disaster</category></item><item><title>Google&apos;s urban flash-flood model now gives up to 24 hours&apos; notice worldwide; whether anyone acted on an alert hasn&apos;t been measured.</title><link>https://becauseofai.org/entry/flood-hub-flash-floods</link><guid isPermaLink="true">https://becauseofai.org/entry/flood-hub-flash-floods</guid><description>Launched March 2026, the model is trained on news-derived ground truth, with precision and recall in South America and Southeast Asia comparable to rich countries; Flood Hub covers 150+ countries.</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>not-yet</category><category>disaster</category></item></channel></rss>